Journal ArticleDecision Analysis · March 1, 2026
This research considers Bayesian decision-analytic approaches toward the traversal of an uncertain graph. Namely, a traveler progresses over a graph in which rewards are gained upon a node’s first visit, and costs are incurred for every edge traversal. The ...
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ConferenceCommunications in Computer and Information Science · January 1, 2026
Click-through rate prediction underpins real-time bidding strategies in display advertising. We propose a unified approach that integrates beta-based Bayesian priors, Dynamic Linear Models, and collaborative filtering to address data sparsity, temporal dyn ...
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Journal ArticleRisk analysis : an official publication of the Society for Risk Analysis · December 2025
This study introduces a new probability model for the risk priority number (RPN) in Failure Mode and Effects Analysis (FMEA), addressing limitations of the traditional RPN calculation, which assumes independence among severity, occurrence, and detection sc ...
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Journal ArticleStatistics in medicine · July 2025
The presence of methicillin-resistant Staphylococcus Aureus (MRSA) in complicated skin and soft structure infections (cSSSI) is associated with greater health risks and economic costs to patients. There is concern that MRSA is becoming resistant to other " ...
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Journal ArticleApplied Stochastic Models in Business and Industry · May 1, 2025
Industrial statistics grew up in an era when manufacturing was the primary engine of commerce. Today, the driver is information technology. This paper discusses how statisticians need to adapt to contribute to this new business model, with particular empha ...
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Journal ArticleApplied Stochastic Models in Business and Industry · March 1, 2025
The paper arises from the experience of Applied Stochastic Models in Business and Industry which has seen, over the years, more and more contributions related to Machine Learning rather than to what was intended as a stochastic model. The very notion of a ...
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Journal ArticleStatistics and Public Policy · January 1, 2025
International human trafficking is a growing problem, driven by conflict, forced migration, and increasing numbers of refugees. Using data from the US Department of State’s Trafficking in Persons reports, we study human trafficking in the context of three ...
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Journal ArticleAnnals of Applied Statistics · March 1, 2024
The prevalence of security threats to organizational defense demands models that support real-world policymaking. Security games are a potent tool in this regard; however, although canonical models effectively allocate limited resources, they generally do ...
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Journal ArticleJournal of the American Statistical Association · January 1, 2024
Recommender systems are the engine of online advertising. Not only do they suggest movies, music, or romantic partners, but they also are used to select which advertisements to show to users. This paper reviews the basics of recommender system methodology ...
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Journal ArticleInternational Transactions in Operational Research · May 1, 2023
Machine learning and computational processing have advanced such that automated driving systems (ADSs) are no longer a distant reality. Many automobile manufacturers have developed prototypes; however, there exist numerous decision support issues requiring ...
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Journal ArticleWiley Interdisciplinary Reviews Computational Statistics · May 1, 2023
Cluster analysis is a big, sprawling field. This review paper cannot hope to fully survey the territory. Instead, it focuses on hierarchical agglomerative clustering, k-means clustering, mixture models, and then several related topics of which any cluster ...
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Journal ArticleDecision Analysis · March 1, 2023
In an increasingly competitive environment, defense organizations are met with more difficult decisions than in years past. This problem is especially apparent in security cooperation, that is, defense diplomacy, conducted by the United States. Both the Un ...
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Journal ArticlePsychoradiology · January 2023
BackgroundIt has been postulated that musicianship can lead to enhanced brain and cognitive reserve, but the neural mechanisms of this effect have been poorly understood. Lifelong professional musicianship in conjunction with novel brain imaging t ...
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Journal ArticleNaval Research Logistics · October 1, 2022
The public sector is characterized by hierarchical and interdependent organizations. For defense and security applications in particular, a higher authority is generally responsible for allocating resources among subordinate organizations. These subordinat ...
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Journal ArticleDecision Analysis · September 1, 2022
The pure strategy Nash equilibrium (PSNE) solution to multiparty auctions makes the strong but unrealistic assumption that all participants share the same beliefs about the type distributions of the others, and that all know that this information is mutual ...
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Journal ArticleOphthalmol Sci · June 2022
OBJECTIVE: To describe optical coherence tomography (SD-OCT) features, age, gender, and systemic variables that may be used in machine/deep learning studies to identify high-risk patient subpopulations with high risk of progression to geographic atrophy (G ...
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Journal ArticleApplied Mathematical Modelling · February 1, 2022
Approximation theory plays an important role in image processing, especially image deconvolution and decomposition. For piecewise smooth images, there are many methods that have been developed over the past thirty years. The goal of this study is to devise ...
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Journal ArticleWiley Interdisciplinary Reviews Computational Statistics · January 1, 2022
Adversarial risk analysis (ARA) is a relatively new area of research that informs decision-making when facing intelligent opponents and uncertain outcomes. It is a decision-theoretic alternative to game theory. ARA enables an analyst to express her Bayesia ...
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Journal ArticleJournal of the American Statistical Association · January 1, 2022
Sometimes the Joint Statistical Meetings (JSM) is frustrating to attend, because multiple sessions on the same topic are scheduled at the same time. This article uses seeded latent Dirichlet allocation and a scheduling optimization algorithm to very signif ...
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Journal ArticleJournal of Statistical Theory and Practice · June 1, 2021
Deep learning (DL) has gained much attention and become increasingly popular in modern data science. Computer scientists led the way in developing deep learning techniques, so the ideas and perspectives can seem alien to statisticians. Nonetheless, it is i ...
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Journal ArticleChemometrics and Intelligent Laboratory Systems · January 15, 2021
Metabolomics is a branch of bioinformatics that uses mass spectrometry measurements on metabolite abundance in tissue samples for scientific and medical purposes. Although the basic technology is similar to that used in proteomics, the statistical analysis ...
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Journal ArticleBrain Sci · January 6, 2021
There is a significant body of research that has identified specific, high-end cognitive demand activities and lifestyles that may play a role in building cognitive brain reserve, including volume changes in gray matter and white matter, increased structur ...
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Journal ArticleAmerican Statistician · January 1, 2021
Agent-based models (ABMs) are popular in many research communities, but few statisticians have contributed to their theoretical development. They are models like any other models we study, but in general, we are still learning how to fit ABMs to data and h ...
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Chapter · January 1, 2021
We argue that adversarial risk analysis may be incorporated into the structured expert judgement modelling toolkit for cases in which we need to forecast the actions of competitors based on expert knowledge. This is relevant in areas such as cybersecurity, ...
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Journal ArticleDecision Analysis · January 1, 2021
We propose the backward indifference derivation (BID) algorithm, a new method to numerically approximate the pure strategy Nash equilibrium (PSNE) bidding functions in asymmetric first-price auctions. The BID algorithm constructs a sequence of finite-actio ...
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Journal ArticleObservational Studies · January 1, 2021
Breiman led the way in thinking differently about statistics. Many of his iconoclastic ideas have become standard in the data science sphere. This discussion argues for some rebalancing, while gratefully acknowledging his achievements. ...
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Journal ArticleNetwork Science · September 1, 2019
In the context of a motivating study of dynamic network flow data on a large-scale e-commerce website, we develop Bayesian models for online/sequential analysis for monitoring and adapting to changes reflected in node-node traffic. For large-scale networks ...
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Journal ArticleBayesian Analysis · January 1, 2019
Discovering temporal evolution of themes from a time-stamped collection of text poses a challenging statistical learning problem. Dynamic topic models offer a probabilistic modeling framework to decompose a corpus of text documents into "topics", i.e., pro ...
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Journal ArticleStatistics and Public Policy · January 1, 2019
This study identifies pediatric cancer clusters in Florida for the years 2000–2015. Unlike previous publications on pediatric cancers in Florida, it draws upon an Environmental Protection Agency dataset on carcinogenic air pollution, the National Air Toxic ...
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Journal ArticleStatistics and Public Policy · January 1, 2019
Policy-makers should perform a cost-benefit analysis before initiating a war. This article describes a methodology for such assessment, and applies it post hoc to five military actions undertaken by the United States between 1950 and 2000 (the Korean War, ...
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Journal ArticleJournal of the American Statistical Association · April 3, 2018
Traffic flow count data in networks arise in many applications, such as automobile or aviation transportation, certain directed social network contexts, and Internet studies. Using an example of Internet browser traffic flow through site-segments of an int ...
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Chapter · January 1, 2018
We focus on concept uncertainty which adds a new layer to the traditional risk analysis distinction between aleatory and epistemic uncertainties, when adversaries are present. The idea is illustrated with a problem in adversarial point estimation framed as ...
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Journal ArticleJournal of the National Science Foundation of Sri Lanka · January 1, 2018
Sensory evaluation is of prime importance in the tea industry. The price of tea is predominantly determined by the tea taster’s judgement. Hence, statisticians and sensory analysts have significant interest in improving the reliability of sensory panel eva ...
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Journal ArticleRisk Analysis · April 1, 2016
Adversarial risk analysis has been introduced as a framework to deal with risks derived from intentional actions of adversaries. The analysis supports one of the decisionmakers, who must forecast the actions of the other agents. Typically, this forecast mu ...
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Book · January 1, 2016
Recognizing the importance of eyewitness identifications in courts of law and motivated by data showing that at least one erroneous eyewitness identification was associated with almost 75% of cases where defendants were later exonerated by DNA evidence, in ...
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Journal ArticleAnnual Review of Statistics and Its Application · April 10, 2015
Agent-based models (ABMs) are computational models used to simulate the actions and interactions of agents within a system. Usually, each agent has a relatively simple set of rules for how he or she responds to his or her environment and to other agents. T ...
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Chapter · March 26, 2015
Agent-based models (ABMs) have become an important simulation tool for understanding certain categories of complex phenomena. They are widely used in epidemiology, ecology, transportation research, social networks, and other applications in which the globa ...
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Book · January 1, 2015
Winner of the 2017 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA) A relatively new area of research, adversarial risk analysis (ARA) informs decision making when there are intelligent opponents and uncertain outcomes. Adve ...
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Book · January 1, 2014
Past, Present, and Future of Statistical Science was commissioned in 2013 by the Committee of Presidents of Statistical Societies (COPSS) to celebrate its 50th anniversary and the International Year of Statistics. COPSS consists of five charter member stat ...
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Chapter · February 1, 2013
This paper describes mathematical models for network evolution when ties (edges) are directed and the node set is fixed. Each of these models implies a specific type of departure from the standard null binomial model. We provide statistical tests that, in ...
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Journal ArticleAmerican Statistician · January 1, 2013
Multiple systems estimation (MSE) is becoming an increasingly common approach for exploratory study of underreported events in the field of quantitative human rights. In this context, it is used to estimate the number of people who died as a result of poli ...
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Book · January 1, 2013
The U.S. Department of Homeland Security (DHS) is responsible for securing and managing the nation’s borders. Over the past decade, DHS has dramatically stepped up its enforcement efforts at the U.S.–Mexico border, increasing the number of U.S. Border Patr ...
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Journal ArticleStatistical Analysis and Data Mining · January 1, 2013
Computational advertising uses information on web-browsing activity and additional covariates to select advertisements for display to the user. The statistical challenge is to develop methodology that matches ads to users who are likely to purchase the adv ...
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Journal ArticleStatistics in medicine · August 2012
Reliable surveillance models are an important tool in public health because they aid in mitigating disease outbreaks, identify where and when disease outbreaks occur, and predict future occurrences. Although many statistical models have been devised for su ...
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Journal ArticleInformation Fusion · April 1, 2012
Syndromic surveillance has, so far, considered only simple models for Bayesian inference. This paper details the methodology for a serious, scalable solution to the problem of combining symptom data from a network of US hospitals for early detection of dis ...
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Journal ArticleStatistical Analysis and Data Mining · January 1, 2012
Early and accurate detection of outbreaks is one of the most important objectives of syndromic surveillance systems. We propose a general Bayesian framework for syndromic surveillance systems. The methodology incorporates Gaussian Markov random field (GMRF ...
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Journal ArticleMethods in molecular biology (Clifton, N.J.) · January 2012
Metabolomics is the relatively new field in bioinformatics that uses measurements on metabolite abundance as a tool for disease diagnosis and other medical purposes. Although closely related to proteomics, the statistical analysis is potentially simpler si ...
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Journal ArticleWiley Interdisciplinary Reviews Computational Statistics · January 1, 2012
This article is an incomplete review of the rapidly growing research on network models. It focuses chiefly upon contributions to network science that have been made by sociologists, physicists, and statisticians. It addresses several topics in the area of ...
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Journal ArticleNaval Research Logistics · September 1, 2011
Problems in counterterrorism and corporate competition have prompted research that attempts to combine statistical risk analysis with game theory in ways that support practical decision making. This article applies these methods of adversarial risk analysi ...
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Journal ArticleApplied Stochastic Models in Business and Industry · March 1, 2011
Adversarial risk analysis (ARA) offers a new solution concept in game theory. This paper explores its application to a range of simple gambling games, enabling comparison with minimax solutions for similar problems. We find that ARA has several attractive ...
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Journal ArticleStatistics Politics and Policy · January 1, 2011
This editorial explores statistical methods to improve reproducibility and provide a more reliable foundation for trust in scientific research. ...
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Journal ArticleThe journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · December 2010
ObjectiveBiomarkers for preterm labor (PTL) and delivery can be discovered through the analysis of the transcriptome (transcriptomics) and protein composition (proteomics). Characterization of the global changes in low-molecular weight compounds w ...
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Journal ArticleWiley Interdisciplinary Reviews Computational Statistics · February 1, 2010
Data mining is widely used in modern science to extract signal from complex data sets. This article summarizes some of the key intellectual issues in the development of this field, largely from a historical perspective. There is particular emphasis on the ...
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Journal ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences · November 2009
Complex data often arise as a superposition of data generated from several simpler models. The traditional strategy for such cases is to use mixture modelling, but it can be problematic, especially in higher dimensions. This paper considers an alternative ...
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Journal ArticleJournal of the American Statistical Association · June 1, 2009
Applications in counterterrorism and corporate competition have led to the development of new methods for the analysis of decision making when there are intelligent opponents and uncertain outcomes. This field represents a combination of statistical risk a ...
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Journal ArticlePopulation Research and Policy Review · January 1, 2009
Dynamic social networks, a key concept in modern social science research, are beginning to play a major role in understanding the ways in which individuals and communities respond to disasters. The authors of this paper review the relevant theory and resea ...
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Journal ArticlePopulation Research and Policy Review · January 1, 2009
In 2005, the National Science Foundation funded a number of projects to study the impact of Hurricane Katrina. The current article provides an overview of several research approaches used to conduct post-Katrina research. Each method had some advantages an ...
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Journal Article · December 1, 2008
The traditional Western conception of human rights has focused upon political and civil liberties. Recent trends are bringing social and economic rights to the fore. This chapter considers the kinds of contributions that statisticians might make in this ar ...
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Journal ArticleBiosecurity and bioterrorism : biodefense strategy, practice, and science · December 2008
In 2006, the Department of Homeland Security (DHS) completed its first Bioterrorism Risk Assessment (BTRA), intended to be the foundation for DHS's subsequent biennial risk assessments mandated by Homeland Security Presidential Directive 10 (HSPD-10). At t ...
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Journal ArticleLecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · December 1, 2008
Syndromic surveillance can be used to assess change in drug abuse rates and to find regions in which abuse is most common. This paper compares the power of three syndromic surveillance procedures (a paired-sample test, a process control chart, and a condit ...
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Journal ArticleStatistical Methods for Human Rights · January 1, 2008
Human rights issues are shaping the modern world. They define the expectations by which nations are judged and affect the policy of governments, corporations, and foundations. They have set the agenda in prosecutions at the International Criminal Court at ...
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Journal Article · January 1, 2008
Social networks models are a body of statistical procedures for describing relationships between agents. The term stems from initial applications that studied interactions within human communities, but the methodology is now used much more broadly and can ...
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Chapter · January 1, 2008
Critical infrastructure consists of the basic mechanisms and services essential for a society to function. It must be protected against natural and deliberate damage. These protective efforts should be selected according to careful risk analysis, with cons ...
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Journal Article · December 1, 2006
The U.S. government wishes to invest its resources as wisely as possible in defense. Each wasted dollar diverts money that could be used to harden crucial vulnerabilities, prevents investment in future economic growth, and increases taxpayer burden. This i ...
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Journal ArticleStatistical Science · May 1, 2006
Modern business is rushing toward e-commerce. If the transition is done properly, it enables better management, new services, lower transaction costs and better customer relations. Success depends on skilled information technologists, among whom are statis ...
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Journal ArticleStatistical Methodology · April 1, 2006
We present the old-but-new problem of data quality from a statistical perspective, in part with the goal of attracting more statisticians, especially academics, to become engaged in research on a rich set of exciting challenges. The data quality landscape ...
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Journal ArticlePharmacoepidemiology and drug safety · September 2005
PurposeData mining may enhance traditional surveillance of vaccine adverse events by identifying events that are reported more commonly after administering one vaccine than other vaccines. Data mining methods find signals as the proportion of time ...
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Journal ArticleCommunications in Statistics Part B Simulation and Computation · May 1, 2003
The ever-growing number of high-dimensional, superlarge databases requires effective analysis techniques to mine interesting information from the data. Development of new-wave methodologies for high-dimensional nonparametric regression has exploded over th ...
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Journal ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · May 2003
ObjectiveSeven measures of neonatal EEG-sleep behavior were evaluated using multivariate analyses to ascertain if physiologic differences exist between healthy full- and preterm cohorts.MethodsA total of 381 24-channel EEG-sleep studies w ...
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Chapter · January 1, 2003
Federal agencies in the United States collect enormous quantities of data. Recently, they have begun to attempt to apply data mining to extract additional insights from their collections. ...
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Journal ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · January 2003
ObjectiveAltered physiologic behaviors during sleep have been described for healthy preterm neonates at post-conceptional fullterm ages. These differences may reflect brain dysmaturity as a result of conditions of prematurity. The present study ex ...
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Journal ArticleSleep Medicine · September 1, 2002
Objectives: EEG-sleep organization of asphyxiated and non-asphyxiated full-term neonates was compared during the first 3 days after birth. Background: Aggressive fetal and neonatal resuscitative efforts have reduced the severe expression of the neonatal br ...
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Journal ArticleJournal of Wind Engineering and Industrial Aerodynamics · 2001
During cornering winds, dual conical vortices form in the separated flow along the leading edges of flat roofs. These vortices cause the most extreme wind induced suction forces found anywhere on the building, so it is important to predict them accurately. ...
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Journal ArticleJournal of Research of the National Institute of Standards and Technology · January 1, 2000
The problem of determining a consensus value and its uncertainty from the results of multiple methods or laboratories is discussed. Desirable criteria of a solution are presented. A solution motivated by the ISO Guide to the Expression of Uncertainty in Me ...
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Journal ArticleStatistics in Medicine · 1999
We propose a probability distribution for an equivalence class of classification trees (that is, those that ignore the value of the cutpoints but retain tree structure). This distribution is parameterized by a central tree structure representing the true m ...
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Journal ArticleJournal of Nonparametric Statistics · January 1, 1999
Population biologists use fairly elementary methods to estimate parameters associated with DNA mismatch distributions, which serve as one basis for their formulation of an evolutionary history of the population. This paper presents new statistical methodol ...
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Journal ArticleConference Record IEEE Instrumentation and Measurement Technology Conference · January 1, 1999
Efficient world trade requires that manufacturers in one country have confidence that their product will meet specifications that are verified by purchasers in another country. But these trading partners rely upon different national metrology laboratories ...
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Journal ArticleInformation Retrieval · January 1, 1999
The paper reviews six recent efforts to better understand performance measurements on information retrieval (IR) systems within the framework of the Text REtrieval Conferences (TREC): analysis of variance, cluster analyses, rank correlations, beadplots, mu ...
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Journal ArticleProceedings IEEE Computer Society S International Computer Software and Applications Conference · December 1, 1998
A conformance test is a software assurance test that is applied in order to determine if specification requirements of the software are being met. It is a time-independent model, where the software object is subjected to an a priori known test suite. The r ...
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ConferenceProceedings International Computer Software and Applications Conference · January 1, 1998
A conformance test is a software assurance test that is applied in order to determine if specification requirements of the software are being met. It is a time-independent model, where the software object is subjected to an a priori known test suite. The r ...
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Journal ArticleJournal of Classification · January 1, 1998
Many problems entail the analysis of data that are independent and identically distributed random graphs. Useful inference requires flexible probability models for such random graphs; these models should have interpretable location and scale parameters, an ...
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Journal ArticleJournal of Sudden Infant Death Syndrome and Infant Mortality · January 1, 1998
Two spectral EEG measures were compared from multiple-channel EEG-sleep 3-hr nap studies of 40 preterm and 31 fullterm infants from birth through 7 months of age. Spectral beta range EEG energies derived from fourteen cerebral channels decreased for both n ...
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Journal ArticleJournal of Sudden Infant Death Syndrome and Infant Mortality · January 1, 1998
Two statistical strategies to analyze EEG-sleep are described for a population of 129 healthy newborns. Seven EEG-sleep measures were selected to quantitate the degree of EEG dysmaturity between preterm and fullterm neonatal cohorts. These analytical tools ...
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Journal ArticlePediatric neurology · October 1997
State-specific spectral electroencephalographic (EEG) values were compared among 14 bipolar channel derivations between two healthy neonatal cohorts. Fifty-five healthy preterm neonates of < or = 32 weeks gestational age at birth were studied with 24-chann ...
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Journal ArticleSleep · February 1997
Nineteen electroencephalographic (EEG) sleep measures describing four physiologic aspects of sleep behavior (i.e. sleep continuity, EEG spectra, body and eye movements, and autonomic measures) were derived from visual and computer analyses of 71 24-channel ...
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Journal ArticlePediatric neurology · February 1996
Previous neurophysiologic studies from our laboratory have demonstrated altered EEG-sleep behavior at conceptional term ages in healthy preterm infant compared with a term cohort. Developmental assessments at 12 and 24 months of age of 16 children in each ...
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Journal ArticleStatistical Science · January 1, 1996
Irving John Good was born in London on December 9, 1916. He attended the Haberdashers’ “secondary” School, distinguishing himself as a mathematical prodigy, and then entered Jesus College at Cambridge University in 1935. He studied under G. H. Hardy and A. ...
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Journal ArticleJournal of Manufacturing Science and Engineering Transactions of the ASME · January 1, 1996
This paper presents an approach to metrology that allows one to set a confidence level on geometric parameters using multivariate statistical techniques. Furthermore, the analysis incorporates deviations from nominal geometry that are expected from various ...
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Journal ArticleJournal of Mathematical Sociology · January 1, 1996
This paper describes mathematical models for network evolution when ties (edges) are directed and the node set is fixed. Each of these models implies a specific type of departure from the standard null binomial model. We provide statistical tests that, in ...
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Journal ArticleSleep · September 1995
Differences in electroencephalographic (EEG) sleep between preterm and full-term neonatal cohorts at matched postconceptional ages have been previously presented by our study group. These differences may have occurred, however, because of postnatal brain a ...
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Journal ArticlePediatric neurology · May 1995
Five physiologic groupings of 45 EEG-sleep measures were acquired from serial 24-channel EEG-sleep recordings (i.e., sleep architecture, continuity, EEG spectral, phasic, and autonomic measures), utilizing 129 studies on 56 healthy preterm infants from 28 ...
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Journal ArticleComputer Aided Design · January 1, 1995
Modern coordinate measurement machines have provided industry with new tools for inspecting complex parts. The paper develops statistical procedures that complement these inspection methods, and it ties the conformance problem into the hypothesis testing f ...
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Journal ArticleSocial Networks · January 1, 1995
Researchers in social networks are becoming increasingly interested in how networks evolve over time. There are theories that bear on the evolution of networks, but virtually no statistical methodology which supports the comparative evaluation of these the ...
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Journal ArticleAmerican Society of Mechanical Engineers Design Engineering Division Publication DE · December 1, 1994
Modern coordinate measurement machines have provided industry with new tools for inspecting complex parts. This paper develops statistical procedures that complement these inspection methods, and it ties the conformance problem into the hypothesis testing ...
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Journal ArticleAmerican Society of Mechanical Engineers Dynamic Systems and Control Division Publication DSC · December 1, 1994
This paper presents an approach to metrology that allows one to set a confidence level on geometric parameters using a multivariate statistical approach. Furthermore, the analysis incorporates deviations from nominal geometry that are expected from various ...
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Journal ArticlePediatric neurology · October 1994
We previously reported a high correlation between electrographic and postmortem neuroanatomic (i.e., sulcal-gyral) estimates of maturity in sick preterm neonates who were clinically abnormal because of neonatal medical illnesses. Electroencephalographic st ...
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Journal ArticleJournal of Classification · March 1, 1994
Using a natural metric on the space of networks, we define a probability measure for network-valued random variables. This measure is indexed by two parameters, which are interpretable as a location parameter and a dispersion parameter. From this structure ...
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Journal ArticleSleep · February 1994
Differences in state-specific electroencephalographic (EEG) spectral values are described between groups of preterm and full-term neonates at comparable postconceptional term ages. Eighteen healthy preterm neonates of < or = 32 weeks gestation were selecte ...
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ConferenceProceedings of the ASME Design Engineering Technical Conference · January 1, 1994
Modern coordinate measurement machines have provided industry with new tools for inspecting complex parts. This paper develops statistical procedures that complement these inspection methods, and it ties the conformance problem into the hypothesis testing ...
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Journal ArticleBiometrika · December 1, 1988
This paper describes a version of the Bayesian bootstrap that assigns random Dirichlet mass uniformly across statistically equivalent blocks. The method requires prior knowledge that the underlying distribution is continuous with known compact support. Und ...
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