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13th ISBA World Meeting on Bayesian Statistics

Advances in Bayesian Model Choice

Advances in Scalable Monte Carlo Algorithms for Bayesian Statistics

Analysis of Glutathione Stransferase polymorphism, Lifestyle & Cancer Risk

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

Beyond Riemannian Geometry In Inference

Building Better Teams: A Network Analysis Approach

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

CAREER: Scalable Record Linkage through the Microclustering Property

CAREER: Scalable Record Linkage through the Microclustering Property

CRCNS: Geometrybased Brain Connectome Analysis

CRCNS: Geometrybased Brain Connectome Analysis

Collaborative Proposal: SGER: Social Measures of the Katrina Aftermath

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

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: Bayesian Analysis and Applications

Collaborative Research: Numerical Algebra and Statistical Inference

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

Collaborative Research: Record Linkage and PrivacyPreserving Methods for Big Data

Collaborative Research: Statistical And Computational Models and Methods for Extracting Knowledge from Massive Disparate

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

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

Collaborative Research: Using Precursor Information to Update Probabilistic Hazard Maps

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

Emergence of Cardiometabolic Risk Across the Lifecycle in China

Epidemiologic factors and survival by molecular subtypes of ovarian cancer

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

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

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.

Large Scale Model Averaging and Model Selection

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

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

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

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 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

Public Health Research Grant

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

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

R13 Conference Grant application for the Institute for Mathematical Statistics New Researchers Conference to be held July 26 , 201 8

RTI Research on Development of Drug Use Models

Random dynamical systems and limit theorems for optimal tracking

Reproducibility and Robustness of Dimensionality Reduction

Reproducibility and Robustness of Dimensionality Reduction

Research in Bayesian Analysis: Largescale Regression and Prediction Models with Applications in Bioinformatics and Appl

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

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

SCREMS: Distributed Environments for Stochastic Computation

Scalable probabilistic inference for huge multidomain graphs

Sharing Confidential Datasets With Geographic Identifiers Via Multiple Imputation

Spacetime Modeling for Linking Climate Change, Pollutant Exposure, Built Environments, and Health 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 (Supplement)

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

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