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Statistical Methods and Bayesian Inference Research Faculty | GradNova

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Statistical Methods and Bayesian Inference

Statistical Methods and Bayesian Inference

7 faculty research Statistical Methods and Bayesian Inference on GradNova.

D

Dr. Charles Walter

Assistant Professor

Computer Science

University of Mississippi

Data-Driven Disease Surveillance

Health, Environment, Cognitive Aging

Medical Coding and Health Information

Spatial and Panel Data Analysis

+1

Z

Assistant Professor

Computer Science

University of Minnesota

3D Shape Modeling and Analysis

Computer Graphics and Visualization Techniques

Statistical Methods and Bayesian Inference

Statistical Methods and Inference

+1

T

Trevor Campbell

Associate Member - Statistics

Computer Science

University of British Columbia

Bayesian Methods and Mixture Models

Gaussian Processes and Bayesian Inference

Markov Chains and Monte Carlo Methods

Statistical Methods and Bayesian Inference

+1

R

Rasmus Erlemann

Adjunct Faculty

Computer Science

University of North Carolina at Charlotte

Information and Cyber Security

Software-Defined Networks and 5G

Statistical Distribution Estimation and Applications

Statistical Methods and Bayesian Inference

+1

I

John C. Malone Associate Professor

Computer Science

Johns Hopkins University

Algorithmic Fairness

Applications in Health Care and Public Health

Causal Inference and Missing Data

+7

S

Sivaraman Balakrishnan

Professor

Computer Science

Carnegie Mellon University

Bayesian Methods and Mixture Models

Machine Learning and Algorithms

Sparse and Compressive Sensing Techniques

Statistical Methods and Bayesian Inference

+1

K

K. Selcuk Candan

Professor and Director of CASCADE

Computer Science and Engineering

Arizona State University

Data Integration & Information Fusion

Database/query Processing & Indexing Techniques

Heterogeneous & Imprecise (uncertain/fuzzy) Data Management and Analysis

Multimedia Data Management & Retrieval

+4