

Administers Grant

13th ISBA World Meeting on Bayesian Statistics

84.51 Sponsored Research Agreement  Research in Bayesian Forecasting of Massive, Discrete Times Series

A Patientcentered Intervention Using Technology to Reduce Colorectal Cancer Disparities in Primary Care

A Planetary Inventory of Life  a New Synthesis Built on Big Data Combined with Novel Statistical Methods

A Pragmatic Trial of an Adaptive eHealth HIV Prevention Program for Diverse Adolescent MSM

Advances in Bayesian Model Choice

Advances in Bayesian nonparametric methods for jointly modeling multiple data sets

Advances in Scalable Monte Carlo Algorithms for Bayesian Statistics

Adversarial Risk Analysis for Optimal Obstacle Evasion

Analysis of data for the Glutathione Stransferase polymorphism, Behavioral Lifestyle Factors and Premenopausal Breast Cancer Risk

Analyzing Dependent Extremes via Joint Quantile Regression

BIGDATA:Collaborative Research:F: Big Data, it's not so big: exploiting lowdimensional geometry for learning and inference

BIGDATA:F: Scalable Bayes uncertainty quantification with guarantees

BRCA 1 and BRCA2 missense mutations and breast cancer risk

Bayer Sponsored Research Agreement

Bayes 250 Conference

Bayesian Analysis and Frequentist Interfaces

Bayesian Analysis and Interfaces

Bayesian Analysis of Shapes and Curves with Applications in Bioinformatics

Bayesian Methods for Assessing Gene by Environment Interactions

Bayesian Methods for HighDimensional Epidemiologic Data

Bayesian Modeling and Optimal Design for Studies of GeneEnvironment Association

Bayesian Models and Methods for Dynamic and SpatioDynamic Systems

Bayesian Nonparametric Methods for Spatial and Spatiotemporal Data

Bayesian learning for highdimensional low sample size data

Bayesian multivariate analysis for causal inference with intermediate variable

Bayesian recursive partitioning and inference on the structure of highdimensional distributions

Beyond Riemannian Geometry In Inference

Building Better Teams: A Network Analysis Approach (Research Areas of Interest: 2. Leader Development, 3. Personnel Testing and Performance, and 4. Organizational Effectiveness)

Building a reinforcement learning tool for individually tailoring justintime adaptive interventions: Extending the reach of mHealth technology for improved weight loss outcomes

CAREER: Advances in multiscale Bayesian inference and learning on massive data

CAREER: Big Computation and the Management of Emerging Infectious Diseases

CAREER: Design and analysis of experiments for complex social processes

CAREER: Scalable Record Linkage through the Microclustering Property

CAREER: Towards Tight Guarantees of Approximate Markov Chain Sampling Algorithms in High Dimensional Statistical Inference

CRCNS: Geometrybased Brain Connectome Analysis

Calibrated uncertainty quantification in statistical learning

Collaborative Proposal: SGER: Social Measures of the Katrina Aftermath

Collaborative QEIB Research: Spatiotemporal Modeling of Species Distributions and BiodiversityIntegrating Climate and Population Responses

Collaborative Research: Probabilistic Models and Geometry for High Dimensional Data

Collaborative Research: Adaptive Experimental Design for Astronomical Exploration

Collaborative Research: Advances Statistical Surrogates for Linking Multiple Computer Models with Disparate Data for Quantifying Uncertain Hazards

Collaborative Research: Advancing Bayesian Thinking in STEM

Collaborative Research: Bayesian Analysis and Applications

Collaborative Research: Capturing salient features in point process models via stochastic process discrepancies

Collaborative Research: Numerical Algebra and Statistical Inference

Collaborative Research: Ocean Circulation Climatology and Dynamics Using Bayesian Hierarchial Methods

Collaborative Research: RAPID: Statistical tools to quantify and mitigate the spread of COVID19

Collaborative Research: Record Linkage and PrivacyPreserving Methods for Big Data

Collaborative Research: Statistical And Computational Models and Methods for Extracting Knowledge from Massive Disparate Data for Quantifying Uncertain Hazards

Collaborative Research: Statistical Methods for Analyzing Complexity and Growth of Large Biological and Information Networks

Collaborative Research: Statistical Modeling and Inference for Highdimensional MultiSubject Neuroimaging Data

Collaborative Research: Topological Methods for Parsing Shapes and Networks and Modeling Variation in Structure and Function

Collaborative Research: Using Precursor Information to Update Probabilistic Hazard Maps

Collaborative: Bayesian Residual Learning and Random Recursive Partitioning Methods for Gaussian Processes Modeling

Component A: BDSTEPS II Core at North Carolina Center for Birth Defects Research and Prevention (NC BDSTEPS II Core)

Computatopmal Methods and Tools for Creating High Quality, Public Use Census Microdata

Conference on Learning: foundations and applications in language and speech, in the Memory of Partha Niyogi

Development of a program to assess and treat distress in glaucoma patients using an automated EHRderived AI algorithm

Emergence of Cardiometabolic Risk Across the Lifecycle in China

Enhancing Synthetic Data Techniques for Practical Applications

Epidemiologic factors and survival by molecular subtypes of ovarian cancer

FACT: Near RealTime Spatiotemporal Resource Allocation to Improve Swine Health

FRG: Collaborative Research: Prediction and Risk of Extreme Events Utilizing Mathematical Computer Models of Geophysical Processes

ForeignBorn Scientists and Engineers and the U.S. Workforce (FBSE)

GRB Pulse Decomposition Using Bayesian Droplets

Graphical multiresolution scanning for crosssample variation

HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms

Hazards SEES Type 1: Persistent volcanic crises in the USA: from precursors to resilience

Hazards SEES: Persistent volcanic crises  resilience in the face of prolonged and uncertain risk

ISBA 2020: 15th World Meeting of the International Society of Bayesian Analysis  June 29July 3, 2020

Inference for Stationary Processes: Optimal Transport and Generalized Bayes

Integrating Multiple Data Sources to Account for Nonignorable Nonresponse

Integration of ideas in computational geometry and statistical inference to further modern approaches to data analysis.

Interpretable and Scalable Entity Resolution Applied to the Decennial Census

Ixchel: Building understanding of the physical, cultural and socioeconomic drivers of risk for strengthening resilience in the Guatemalan cordillera

Large Scale Model Averaging and Model Selection

MAYO Clinic Breast Cancer SPOREProject 1: Cancer risks for mutations in breast cancer predisposition genes

MMS: Methodology for Improving Public Use Data Dissemination Via MultiplyImputer, Partially Synthetic Data

Meetings of New Researchers in Statistics and Probability

Meetings of New Researchers in Statistics and Probability

Metaknowledge Network: Knowledge about Knowledge to Answer the Big Questions

Metaknowledge Network: Knowledge about Knowledge to Answer the Big Questions

Modeling of Graphs, Networks and Trees for Genomic Applications: HighDimensional Model Search

Models for Consortium Level Analysis of GxE Interaction in Complex Disease

Models for Network Evolution: A Study of Growth and Structure in the Wikipedia

Modern Mathematics Workshop

Moral Mathematics: The Science of Human Rights

MultiScale Bayesian Dynamic Flow Models for Network Behaviour Monitoring

Multiple Imputation Methods for Handling Missing Data in Longitudinal Studies with Refreshment Samples

NCRNMN:Triangle Census Research Network

NSF Causal Inference Workshops

Network motifs in cortical computation

New causal inference methods for cluster randomized trials with postrandomization selection

New weighting methods for causal inference

Nonparametric Bayes Methods for Biomedical Studies

OC3 SubtypeSpecific Risk Model

Optimal Spatial Design for Environmental Health Research

Posterior Prototyping: Bridging the gap between Record Linkage and Regression

Predicting Performance from Network Data

Probabilistic learning of structure in complex data

QuBBD: Collaborative Research: Matching Methods for causal inference: big data and networks

Quantifying and Communicating Numerical Model Uncertainty

R13 Conference Grant application for the Institute for Mathematical Statistics New Researchers Conference to be held July 26, 2018

RAISE:IHBEM: Equilibrium network formation and infectiousdisease spread: bridging the divide between mathematical biology and economics

RAPID: Planning for the present and future management of COVID19

RTI Research on Development of Drug Use Models

Random dynamical systems and limit theorems for optimal tracking

Reproducibility and Robustness of Dimensionality Reduction

Research in Bayesian Analysis: Largescale Regression and Prediction Models with Applications in Bioinformatics and Applied Time Series

RoL: FELS: RAISE: Does everyone's microbiome follow the same rules

SAMSI Statistics Advisory Group

SCREMS: Distributed Environments for Stochastic Computation

Scalable probabilistic inference for huge multidomain graphs

ScienceIntegrated Predictive modeLing (SCINPL): a novel framework for scalable and interpretable predictive scientific computing

Shapebased Generalization Bounds for Deep Learning

Sharing Confidential Datasets With Geographic Identifiers Via Multiple Imputation

Spacetime Modeling for Linking Climate Change, Pollutant Exposure, Built Environments, and Health Outcomes

Spatial Modeling of Air Pollution Exposure and Uncertainty with Application to Adverse Birth Outcomes

Spatialtemporal Models for Environmental Health Effects

Statistical And Applied Mathematical Sciences Institute

Statistical and Applied Mathematical Science Institute

Statistical and Applied Mathematical Sciences Institute

Statistical and Applied Mathematical Sciences Institute (Supplement)

Statistical modeling of crosssample variation and learning of latent structures in microbiome sequencing data

Statistical models to investigate longdistance QTL transcription regulation

Structured nonparametric methods for mixtures of exposures

Student Travel Support for the Isaac Newton Institute Workshops on Statistical Methods for Complex, HighDimensional Dat

Synthetic Data for the National Center for Health Statistics

TC: Large: Collaborative Research: Practical Privacy: Metrics and Methods for Protecting Recordlevel and Relational Data

The Valencia/ISBA Eighth World Meeting on Bayesian Statistics

The Valencia/ISBA Eighth World Meeting on Bayesian Statistics

Topological Methods for Morphology: Classifying Shape and Function via Dictionary Learning

Understanding Regression Heterogeneity Through Joint Estimation of Conditional Quantiles

Unsupervised Detection of Bias in Record Linkage

ZioXTPatch data in ARIC