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Bayesian Modeling and Causal Inference

Bayesian Modeling and Causal Inference

47 faculty research Bayesian Modeling and Causal Inference on GradNova.

Y
Advanced Research in Systems and Signal Processing
Bayesian Modeling and Causal Inference
Reinforcement Learning in Robotics
N
Auction Theory and Applications
Bayesian Modeling and Causal Inference
Ethics and Social Impacts of AI
Game Theory and Voting Systems
+1
M
Bayesian Modeling and Causal Inference
Computability, Logic, AI Algorithms
Cryptography and Data Security
Fault Detection and Control Systems
+4
J
Bayesian Modeling and Causal Inference
Bioinformatics and Genomic Networks
Gene Regulatory Network Analysis
S
Bayesian Modeling and Causal Inference
Diabetes Management and Research
Machine Learning in Healthcare
Nutritional Studies and Diet
+1
L
Auction Theory and Applications
Bayesian Modeling and Causal Inference
Game Theory and Voting Systems
Internet Traffic Analysis and Secure E-Voting
+1
D
Bayesian Modeling and Causal Inference
Graph Theory and Algorithms
Machine Learning and Algorithms
S
Artificial Intelligence and Robotics
Data Science and Engineering
Reinforcement Learning in Robotics
AI-Based Problem Solving and Planning
+3
T
Artificial Intelligence and Robotics
Data Science and Engineering
Machine Learning and Data Classification
Machine Learning and Algorithms
+3
L
Applications of AI and ML to Energy (microgrids, Power Systems), Health, and Other Domains
Artificial Intelligence and Machine Learning
Data Mining and Data Science
Bayesian Modeling and Causal Inference
+4
I
Algorithmic Fairness
Applications in Health Care and Public Health
Causal Inference and Missing Data
Dependent Data
+7
S
Suchi Saria

John C. Malone Associate Professor

Computer Science

Johns Hopkins University

Computational Health Informatics
Information Extraction in Domains With Structured and Unstructured Data
Machine Learning
Predictive Modeling in Health Care
+7
Y
Bayesian Modeling and Causal Inference
Cryptography and Data Security
Data Management and Algorithms
Extraction and Separation Processes
+1
K
Kuldeep S. Meel

Stephen Fleming Early-Career Associate Professor

College of Computing

Georgia Institute of Technology

Advanced Database Systems and Queries
Bayesian Modeling and Causal Inference
Data Management and Algorithms
Time Series Analysis and Forecasting
+1
X
Xiaotian Han

Kevin J. Kranzusch Assistant Professor I, Department of Computer and Data Sciences

Computer Science

Case Western Reserve University

Algal Biology and Biofuel Production
Cervical Cancer and HPV Research
Endometrial and Cervical Cancer Treatments
Marine and Coastal Ecosystems
+6
F
Advanced Database Systems and Queries
Bayesian Methods and Mixture Models
Bayesian Modeling and Causal Inference
Data Management and Algorithms
+1
G
AI-Based Problem Solving and Planning
Bayesian Modeling and Causal Inference
Control Systems and Identification
Machine Learning and Algorithms
+4
D
AI-Based Problem Solving and Planning
Astro and Planetary Science
Bayesian Modeling and Causal Inference
Robotic Mechanisms and Dynamics
+1
K
Advanced Causal Inference Techniques
Bayesian Modeling and Causal Inference
Statistical Methods and Inference
L
Advanced Causal Inference Techniques
Bayesian Modeling and Causal Inference
Statistical Methods and Inference
Statistical Methods and Bayesian Inference
+3
D
Diet and Metabolism Studies
Gastroesophageal Reflux and Treatments
Gastrointestinal Motility and Disorders
Helicobacter Pylori-Related Gastroenterology Studies
+6
E
Formal Methods
Program Analysis
Programming Languages and Runtimes
Bayesian Modeling and Causal Inference
+4
H
Adversarial Robustness in Machine Learning
Bayesian Modeling and Causal Inference
Explainable Artificial Intelligence (xai)
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