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Bayesian Modeling and Causal Inference

Bayesian Modeling and Causal Inference

79 faculty research Bayesian Modeling and Causal Inference on GradNova.

J
Jamie Tucker-Foltz

Secondary Faculty, Assistant Professor

Computer Science

Yale University

Bayesian Modeling and Causal Inference
Complex Network Analysis Techniques
Game Theory and Voting Systems
Internet Traffic Analysis and Secure E-Voting
+1
C
Bayesian Inference
Deep Learning
Machine Learning
Optimization
+5
D
Bayesian Modeling and Causal Inference
Complex Systems and Time Series Analysis
Control Systems and Identification
Gene Regulatory Network Analysis
+1
M
Computer Networks
Data Fusion & Learning
Speech & Audio Signal Processing
Statistical Signal Processing
+5
D
Computational Biology and Bioinformatics
Bayesian Methods and Mixture Models
Bayesian Modeling and Causal Inference
Wildlife Ecology and Conservation
+2
M
Bayesian Modeling and Causal Inference
Complex Network Analysis Techniques
Data Quality and Management
Machine Learning and Algorithms
+1
N
Data Management
Scientific Computing and Data Management
Advanced Database Systems and Queries
Bayesian Modeling and Causal Inference
+2
D
Advanced Causal Inference Techniques
Bayesian Modeling and Causal Inference
Cryptography and Data Security
Economic and Environmental Valuation
+1
M
Bayesian Methods and Mixture Models
Bayesian Modeling and Causal Inference
Ethics and Social Impacts of AI
Machine Learning and Algorithms
+1
B
Adversarial Robustness in Machine Learning
Bayesian Modeling and Causal Inference
Machine Learning and Data Classification
Reinforcement Learning in Robotics
+1
S
Bayesian Modeling and Causal Inference
Brain Tumor Detection and Classification
Distributed Sensor Networks and Detection Algorithms
Functional Brain Connectivity Studies
+1
I
Data Mining
Deep Learning
Topic Modeling
Bayesian Modeling and Causal Inference
+3
O
Advanced Graph Neural Networks
Bayesian Modeling and Causal Inference
Data Mining Algorithms and Applications
Machine Learning and Algorithms
+1
J
Advanced Graph Neural Networks
Bayesian Modeling and Causal Inference
Computational Drug Discovery Methods
Data Mining Algorithms and Applications
+1
A
Anthony (Tony) Pinar

Associate Teaching Professor, Electrical and Computer Engineering; Senior Design Coordinator, Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Michigan Technological University

Data Fusion
Electronic Design
Machine Learning
Signal and Image Processing
+5
Z
Bayesian Modeling and Causal Inference
Face Recognition and Analysis
Human Pose and Action Recognition
Robot Manipulation and Learning
+1
N
Bayesian Modeling and Causal Inference
Disability Education and Employment
Down Syndrome and Intellectual Disability Research
Family and Disability Support Research
+1
A
Bayesian Modeling and Causal Inference
Complexity and Algorithms in Graphs
Machine Learning and Algorithms
Markov Chains and Monte Carlo Methods
+1
Y
Bayesian Modeling and Causal Inference
Multimodal Machine Learning Applications
Topic Modeling
D
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Bayesian Modeling and Causal Inference
Explainable Artificial Intelligence (xai)
K
Advanced Bandit Algorithms Research
Advanced Causal Inference Techniques
Bayesian Modeling and Causal Inference
Explainable Artificial Intelligence (xai)
+1
A
Bayesian Modeling and Causal Inference
Formal Methods in Verification
Logic, Programming, and Type Systems
Machine Learning and Algorithms
+1
R
Causal Inference
Causal Machine Learning
Data Mining
Generative AI
+7
B
AI-Based Problem Solving and Planning
Bayesian Modeling and Causal Inference
Logic, Reasoning, and Knowledge
Machine Learning and Algorithms
+1
2

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