Journal articleSankhya A · November 1, 2024
We prove a complete class theorem that characterizes all stationary time reversible Markov processes whose finite dimensional marginal distributions (of all orders) are infinitely divisible. Aside from two degenerate cases (iid and constant), in both discr ...
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Journal articlePhysical Review C · October 1, 2024
We present predictions and postdictions for a wide variety of hard jet-substructure observables using a multistage model within the jetscape framework. The details of the multistage model and the various parameter choices are described in [Phys. Rev. C 107 ...
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Journal articleJournal of Geophysical Research Solid Earth · May 1, 2024
Aluto volcano (Central Ethiopia) displays a complex, hybrid topography, combining elements typical of caldera systems (e.g., a central, flat caldera floor) and stratovolcanoes (e.g., relatively high and steep, radial flanks, related to eruptions occurring ...
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Journal articleFrontiers in Astronomy and Space Sciences · January 1, 2024
Bayesian inference gets its name from Bayes’s theorem, expressing posterior probabilities for hypotheses about a data generating process as the (normalized) product of prior probabilities and a likelihood function. But Bayesian inference uses all of probab ...
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Journal articleSIAM Asa Journal on Uncertainty Quantification · June 1, 2023
We introduce a zero-censored Gaussian process as a systematic, model-based approach to building Gaussian process emulators for range-constrained simulator output. This approach avoids many pitfalls associated with modeling range-constrained data with Gauss ...
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Journal articlePhysical Review C · May 1, 2023
Parton energy-momentum exchange with the quark gluon plasma (QGP) is a multiscale problem. In this work, we calculate the interaction of charm quarks with the QGP within the higher twist formalism at high virtuality and high energy using the Modular All Tw ...
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Journal articlePhysical Review C · March 1, 2023
We present a new study of jet interactions in the quark-gluon plasma created in high-energy heavy-ion collisions, using a multistage event generator within the jetscape framework. We focus on medium-induced modifications in the rate of inclusive jets and h ...
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Journal articlePhysical Review C · December 1, 2022
We use a Bayesian-calibrated multistage viscous hydrodynamic model to explore deuteron yield, mean transverse momentum and flow observables in Pb-Pb collisions at the Large Hadron Collider. We explore theoretical uncertainty in the production of deuterons, ...
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Journal articleAnnals of Applied Statistics · June 1, 2022
The radial velocity method is one of the most successful techniques for detecting exoplanets. It works by detecting the velocity of a host star, induced by the gravitational effect of an orbiting planet, specifically, the velocity along our line of sight w ...
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Journal articlePhysical Review C · August 1, 2021
We report a new determination of q, the jet transport coefficient of the quark-gluon plasma. We use the JETSCAPE framework, which incorporates a novel multistage theoretical approach to in-medium jet evolution and Bayesian inference for parameter extractio ...
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Journal articleJournal of Statistical Computation and Simulation · January 1, 2021
Finite mixture models are used in statistics and other disciplines, but inference for mixture models is challenging due, in part, to the multimodality of the likelihood function and the so-called label switching problem. We propose extensions of the Approx ...
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Journal articleFrontiers in Earth Science · December 16, 2020
Effective volcanic hazard management in regions where populations live in close proximity to persistent volcanic activity involves understanding the dynamic nature of hazards, and associated risk. Emphasis until now has been placed on identification and fo ...
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Journal articlePhysical Review C · November 10, 2020
The JETSCAPE framework is a modular and versatile Monte Carlo software package for the simulation of high energy nuclear collisions. In this work we present a new tune of JETSCAPE, called PP19, and validate it by comparison to jet-based measurements in p+p ...
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Journal article · November 6, 2020
We study the properties of the strongly-coupled quark-gluon plasma with a
multistage model of heavy ion collisions that combines the T$_\mathrm{R}$ENTo
initial condition ansatz, free-streaming, viscous relativistic hydrodynamics,
and a relativistic hadroni ...
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Journal article · October 8, 2020
Using combined data from the Relativistic Heavy Ion and Large Hadron
Colliders, we constrain the shear and bulk viscosities of quark-gluon plasma
(QGP) at temperatures of ${\sim\,}150{-}350$ MeV. We use Bayesian inference to
translate experimental and theo ...
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Journal articleFrontiers in Earth Science · May 23, 2018
To mitigate volcanic hazards from pyroclastic density currents, volcanologists generate hazard maps that provide long-termforecasts of areas of potential impact. Several recent efforts in the field develop new statistical methods for application of flow mo ...
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Journal articleSIAM Asa Journal on Uncertainty Quantification · January 1, 2018
Direct coupling of computer models is often difficult for computational and logistical reasons. We propose coupling computer models by linking independently developed Gaussian process emulators (GaSPs) of these models. Linked emulators are developed that a ...
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Journal articlePhysical Review C · August 22, 2017
The modification of hard jets in an extended static medium held at a fixed temperature is studied using three different Monte Carlo event generators: linear Boltzmann transport (LBT), modular all twist transverse-scattering elastic-drag and radiation (MATT ...
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Journal articleJournal of Multivariate Analysis · March 1, 2017
We consider the class, Cp, of all zero mean stationary Gaussian processes, {Yt:t∈(−∞,∞)} with p derivatives, for which the vector valued process {(Yt(0),…,Yt(p)):t≥0} is a p+1-vector Markov ...
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Journal articleJournal of the American Statistical Association · January 2, 2017
We introduce a novel parameterization of distributions on hypergraphs based on the geometry of points in Rd. The idea is to induce distributions on hypergraphs by placing priors on point configurations via spatial processes. This specification i ...
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Journal articleJournal of Geophysical Research Solid Earth · February 1, 2016
Understanding the duration of past, ongoing, and future volcanic eruptions is an important scientific goal and a key societal need. We present a new methodology for forecasting the duration of ongoing and future lava dome eruptions based on a database (Dom ...
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Journal articlePhysical Review C Nuclear Physics · May 22, 2015
We systematically compare an event-by-event heavy-ion collision model to data from the CERN Large Hadron Collider. Using a general Bayesian method, we probe multiple model parameters including fundamental quark-gluon plasma properties such as the specific ...
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Journal articleInternational Journal for Uncertainty Quantification · January 1, 2015
This paper presents a novel approach to assessing the hazard threat to a locale due to a large volcanic avalanche. The methodology combines: (i) mathematical modeling of volcanic mass flows; (ii) field data of avalanche frequency, volume, and runout; (iii) ...
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Journal articleSIAM Asa Journal on Uncertainty Quantification · January 1, 2015
Rare natural hazards such as large volcanic eruptions can cause loss of life and damage to property. With sufficient information, those charged with public safety may issue warnings of impending hazards to mitigate the hazard impact. Recent developments in ...
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Journal articleAstrophysical Journal · May 20, 2014
We present an application of a statistical tool known as sensitivity analysis to characterize the relationship between input parameters and observational predictions of semi-analytic models of galaxy formation coupled to cosmological N-body simulations. We ...
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Journal articlePhysical Review C Nuclear Physics · March 31, 2014
Posterior distributions for physical parameters describing relativistic heavy-ion collisions, such as the viscosity of the quark-gluon plasma, are extracted through a comparison of hydrodynamic-based transport models to experimental results from 100AGeV+10 ...
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Journal articleSIAM Asa Journal on Uncertainty Quantification · January 1, 2014
This paper describes an efficient and systematic process for using geophysical computer model simulations to guide efforts in probabilistic hazard mapping. The framework being proposed requires the simultaneous construction of many (102–104 ...
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Journal articleActa Physica Polonica B Proceedings Supplement · October 21, 2013
Quantum fluctuations induce interesting structures in the initial state profiles for hydrodynamic calculations of the hot and dense quark-gluon plasma phase of heavy ion collisions. Especially, after the discovery of non-zero odd higher flow coefficients, ...
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Journal articleJournal of Physics G Nuclear and Particle Physics · September 1, 2013
A new method for quantifying fluctuations in the initial state of heavy ion collisions is presented. The initial state energy distribution is decomposed with a set of orthogonal basis functions which include both angular and radial variation. The resulting ...
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Journal articleeConf C1304143 · August 27, 2013
A preliminary study of a set of well-isolated pulses in GRB light curves indicates that simple pulse models, with smooth and monotonic pulse rise and decay regions, are inadequate. Examining the residuals of fits of pulses to such models suggests the follo ...
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Journal articleAstrophysical Journal · December 1, 2012
We use the semi-analytic model ChemTreeN, coupled to cosmological N-body simulations, to explore how different galaxy formation histories can affect observational properties of Milky Way like galaxies' stellar halos and their satellite populations. Gaussia ...
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Journal articleStatistica Sinica · July 1, 2012
The task of calculating marginal likelihoods arises in a wide array of statistical inference problems, including the evaluation of Bayes factors for model selection and hypothesis testing. Although Markov chain Monte Carlo methods have simplified many post ...
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Journal articleJournal of Physics G Nuclear and Particle Physics · April 1, 2011
In this paper we conduct a systematic study of the granularity of the initial state of hot and dense QCD matter produced in ultra-relativistic heavy-ion collisions and its influence on bulk observables like particle yields, mT spectra and ellipt ...
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Journal articleAnnals of Statistics · 2011
This article describes a new class of prior distributions for nonparametric function estimation. The unknown function is modeled as a limit of weighted sums of kernels or generator functions indexed by continuous parameters that control local and global fe ...
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Journal articleThe Annals of Applied Statistics · 2011
We present a novel nonparametric Bayesian approach based on Lévy Adaptive Regression Kernels (LARK) to model spectral data arising from MALDI-TOF (Matrix Assisted Laser Desorption Ionization Time-of-Flight) mass spectrometry. This model-based approach prov ...
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Journal articleStochastic Processes and their Applications · November 1, 2010
In a seminal work, Bertil Matérn introduced several types of processes for modeling repulsive point processes. In this paper an algorithm is presented for the perfect simulation of the Matrén III process within a bounded window in ℝd, fully acco ...
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Journal articleJournal of Agricultural Biological and Environmental Statistics · June 1, 2010
We develop a method for multiscale estimation of pollutant concentrations, based on a nonparametric spatial statistical model. We apply this method to estimate nitrate concentrations in groundwater over the mid-Atlantic states, using measurements gathered ...
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Journal articleStatistics and Probability Letters · June 1, 2010
We consider a family of stochastic processes {Xtε ∈ T} on a metric space T, with a parameter 0. We study the conditions under which. When one has an a priori estimate on the modulus of continuity and the value at one point. We compare ...
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Journal articleAdvances in Applied Probability · December 1, 2009
In a repulsive point process, points act as if they are repelling one another, leading to underdispersed configurations when compared to a standard Poisson point process. Such models are useful when competition for resources exists, as in the locations of ...
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Journal articleTechnometrics · November 1, 2009
Risk assessment of rare natural hazards, such as large volcanic block and ash or pyroclastic flows, is addressed. Assessment is approached through a combination of computer modeling, statistical modeling, and extreme-event probability computation. A comput ...
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Journal articleWater research · June 2009
Water resource management decisions often depend on mechanistic or empirical models to predict water quality conditions under future pollutant loading scenarios. These decisions, such as whether or not to restrict public access to a water resource area, ma ...
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Journal articleWater research · July 2008
Most probable number (MPN) and colony-forming-unit (CFU) estimates of fecal coliform bacteria concentration are common measures of water quality in coastal shellfish harvesting and recreational waters. Estimating procedures for MPN and CFU have intrinsic v ...
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Journal articleEnvironmental science & technology · July 2008
Fecal indicator bacteria (FIB) are commonly used to assess the threat of pathogen contamination in coastal and inland waters. Unlike most measures of pollutant levels however, FIB concentration metrics, such as most probable number (MPN) and colony-forming ...
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Journal articleJournal of Machine Learning Research · August 1, 2007
Kernel methods have been very popular in the machine learning literature in the last ten years, mainly in the context of Tikhonov regularization algorithms. In this paper we study a coherent Bayesian kernel model based on an integral operator defined as th ...
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Journal articleJ Neurosci · April 12, 2006
Rapid tastant detection is necessary to prevent the ingestion of potentially poisonous compounds. Behavioral studies have shown that rats can identify tastants in approximately 200 ms, although the electrophysiological correlates for fast tastant detection ...
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Journal articleSignal Processing · August 1, 2005
We model the workload of a network device responding to a random flux of work requests with various intensities and durations in two ways, a conventional univariate stochastic integral approach ("downstairs") and a higher-dimensional random field approach ...
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Journal articleInverse Problems · December 1, 2004
We formulate the inverse problem of solving Fredholm integral equations of the first kind as a nonparametric Bayesian inference problem, using Levy random fields (and their mixtures) as prior distributions. Posterior distributions for all features of inter ...
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Journal articleStatistical Science · August 1, 2004
Methods are introduced and illustrated for synthesizing evidence from case-control and cohort studies, and controlled trials, accounting for differences among the studies in their design, length of follow-up and quality. The methods, based on hierarchical ...
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Journal articleStatistical Science · January 1, 2004
James O. Berger was born on April 6, 1950, in Minneapolis, Minnesota, to Orvis and Thelma Berger. He earned his AB, MA and Ph.D. degrees in mathematics from Cornell University in 1971, 1973 and 1974, respectively. He served at Purdue University 1974-1997, ...
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Journal articleJournal of the American Statistical Association · December 1, 2000
Ecological regression studies are widely used to examine relationships between disease rates for small geographical areas and exposure to environmental risk factors. The raw data for such studies, including disease cases, environmental pollution concentrat ...
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Journal articleJournal of the American Statistical Association · March 1, 1999
Migraine headache is a common condition in the United States for which a wide range of drug and nondrug treatments are available. There is wide disagreement about which treatments are most effective; meta-analysis of existing clinical trials can help to br ...
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Journal articleStatistical Science · January 1, 1999
Elimination of nuisance parameters is a central problem in statistical inference and has been formally studied in virtually all approaches to inference. Perhaps the least studied approach is elimination of nuisance parameters through integration, in the se ...
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Journal articleBiometrika · January 1, 1998
Doubly stochastic Bayesian hierarchical models are introduced to account for uncertainty and spatial variation in the underlying intensity measure for point process models. Inhomogeneous gamma process random fields and, more generally, Markov random fields ...
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Journal articleEcological Modelling · April 15, 1997
As a first step in a Bayesian analysis of PCB fate and transport in the upper Hudson River, a joint probability density function for parameters in a simulation model is created. The density function describes the joint probabilities of the following parame ...
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Journal articleJournal of Environmental Engineering ASCE · May 1, 1996
Modelers of contaminant fate and transport in surface waters typically rely on literature values when selecting parameter values for mechanistic models. While the expert judgment with which these selections are made is valuable, the information contained i ...
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Journal articleJournal of Statistical Planning and Inference · January 1, 1993
One way to assess the dependence of the posterior on the choice of prior is to compute bounds of posterior expectations as the prior varies over a class of priors. We show how a simple linearization technique is useful for simplifying these computations in ...
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Journal articleJournal of the American Statistical Association · January 1, 1991
We show how to find bounds on posterior expectations of arbitrary functions of the parameters when the prior marginals are specified but when the complete joint prior is unspecified. We also give a theorem that is useful for finding posterior bounds in a w ...
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Journal articleStudies in Environmental Science · December 1, 1989
The existence of a "threshold," or concentration below which no adverse health effects are observed, is the basis for current air quality standards in the U.S. After using a regional dosimetry model (Miller-Overton) to adjust for variations in animal speci ...
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Journal articleInternational journal of technology assessment in health care · January 1989
Frequently, health care decisions must be made before compelling and unequivocal evidence is available about the benefits, risks, and costs of a proposed new health technology. It is common for decision makers to seek the advice and opinions of experts to ...
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Journal articleToxicology letters · September 1987
We have designed a low-cost, compact, head-only exposure system which is easy to use and allows exposure of up to 8 or 16 small rodents depending on the chamber used with the system. Animals are exposed without anesthesia or extreme restraint. Deflection t ...
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Journal articleToxicology letters · September 1987
The saturable nature of the clearance of soluble nickel compounds from the lung was studied by repeated exposures of rats to respirable submicron-size nickel aerosols. Using Michaelis-Menten type kinetics for removal of nickel lung burdens and a constant r ...
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Journal articleProceedings Annual Meeting Air Pollution Control Association · December 1, 1984
Recent developments within the scientific community now appear to offer the potential to develop a methodology which will allow a much wider use of the existing animal toxicology data as well as a better definition of additional research needs for the futu ...
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Journal articleApplied Mathematics Optimization · October 1, 1984
The membrane potential of spatially distributed neurons is modeled as a random field driven by a generalized Poisson process. Approximation to an Ornstein-Uhlenbeck type process is established in the sense of weak convergence of the induced measures in Sko ...
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Journal articleJournal of Multivariate Analysis · January 1, 1983
The problem of global estimation of the mean function θ(·) of a quite arbitrary Gaussian process is considered. The loss function in estimating θ by a function a(·) is assumed to be of the form L(θ, a) = ∫ [θ(t) - a(t)]2μ(dt), and estimators are ...
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Journal articleJournal of Functional Analysis · January 1, 1978
We study intersection properties of Wiener processes in the plane. For each positive integer k we show that k independent Wiener processes intersect almost surely in a set of Hausdorff dimension two, and that the set of points a single process visits at le ...
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Journal articleJournal of Functional Analysis · January 1, 1978
The (φk)2 model of Euclidean field theory is constructed using Brownian motion to model the movement of particles in space-"time." The Brownian particles' path intersections are controlled by local time techniques and are associated w ...
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