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Advanced Causal Inference Techniques Research Faculty | GradNova

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Advanced Causal Inference Techniques

Advanced Causal Inference Techniques

5 faculty research Advanced Causal Inference Techniques on GradNova.

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

V

RKS Family Professor of Computer Science

Computer Science

Columbia University

Computer Networks

Information Theory

Modeling and Performance Evaluation

With Particular Attention to Net Neutrality and the Economics of the Internet

+5

K

Professor

Computer Science

Carnegie Mellon University

Advanced Causal Inference Techniques

Bayesian Modeling and Causal Inference

Statistical Methods and Inference

L

Larry A Wasserman

Professor

Computer Science

Carnegie Mellon University

Advanced Causal Inference Techniques

Bayesian Modeling and Causal Inference

Statistical Methods and Inference

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