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Statistical Methods and Inference

Statistical Methods and Inference

57 faculty research Statistical Methods and Inference on GradNova.

S
Mathematical Approximation and Integration
Matrix Theory and Algorithms
Numerical Methods and Algorithms
Scientific Computing and Data Management
+1
G
Galen Reeves

Associate Professor in the Department of Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Duke University

Compressed Sensing
High-Dimensional Statistical Inference
Information Theory
Machine Learning
+6
A
Advanced Bandit Algorithms Research
Markov Chains and Monte Carlo Methods
Sparse and Compressive Sensing Techniques
Statistical Methods and Inference
+1
O
Machine Learning and Algorithms
Markov Chains and Monte Carlo Methods
Random Matrices and Applications
Statistical Methods and Inference
+1
I
Algorithms and Data Compression
Complexity and Algorithms in Graphs
Machine Learning and Algorithms
Machine Learning and Data Classification
+1
Y
Yudong Chen

Sheldon B. and Marianne S. Lubar Professor

Computer Science

University of Wisconsin–Madison

Complex Network Analysis Techniques
Machine Learning and Algorithms
Sparse and Compressive Sensing Techniques
Statistical Methods and Inference
+1
N
Nishant Mehta

Associate professor; data science advisor

Computer Science

University of Victoria

Machine Learning Theory
Advanced Bandit Algorithms Research
Machine Learning and Algorithms
Statistical Methods and Inference
+2
A
Alfred O. Hero

John H. Holland Distinguished University Professor of EECS; R. Jamison and Betty Williams Professor of Engineering; Professor, EECS – Electrical and Computer Engineering; Professor (courtesy), Biomedical Engineering; EECS – Computer Science and Engineering; Statistics

Department of Electrical and Computer Engineering

University of Michigan

Theory and Algorithms Underlying Data Science and Machine Learning. Theory Includes Applied Probability, Statistical Modeling, and Optimization. Applications Include Complex Networks, Spatio-Temporal Processes, Computational Biology, Personalized Health, and Security.
Sparse and Compressive Sensing Techniques
Distributed Sensor Networks and Detection Algorithms
Statistical Methods and Inference
+2
T
Metal Alloys Wear and Properties
Microstructure and Mechanical Properties of Steels
Network Security and Intrusion Detection
Smart Grid Security and Resilience
+1
S
Machine Learning
Statistical Methods and Inference
Plant Water Relations and Carbon Dynamics
Financial Risk and Volatility Modeling
+2
R
Bayesian Modeling and Causal Inference
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
Probabilistic and Robust Engineering Design
+1
K
Advanced Electron Microscopy Techniques and Applications
Electron and X-Ray Spectroscopy Techniques
Machine Learning in Healthcare
RNA Modifications and Cancer
+1
T
Bayesian Methods and Mixture Models
Gaussian Processes and Bayesian Inference
Markov Chains and Monte Carlo Methods
Statistical Methods and Bayesian Inference
+1
D
Artificial Intelligence & Machine Learning
Statistical & Theoretical Machine Learning
Machine Learning and Algorithms
Generative Adversarial Networks and Image Synthesis
+3
R
Information and Cyber Security
Software-Defined Networks and 5G
Statistical Distribution Estimation and Applications
Statistical Methods and Bayesian Inference
+1
E
Emily Fox

Professor of Statistics and of Computer Science

Computer Science

Stanford University

Congenital Diaphragmatic Hernia Studies
Congenital Heart Defects Research
Mesenchymal Stem Cell Research
Neonatal Respiratory Health Research
+6
P
Obstructive Sleep Apnea Research
Sleep and Related Disorders
Sleep and Wakefulness Research
Statistical Methods and Inference
+1
P
Artificial Intelligence, Machine Learning, and Natural Language Processing
Theory of Computing, Algorithms, and Quantum Computing
Machine Learning and Algorithms
Complexity and Algorithms in Graphs
+3
M
Probabilistic and Robust Engineering Design
Probability and Risk Models
Simulation Techniques and Applications
Statistical Distribution Estimation and Applications
+1
I
Algorithmic Fairness
Applications in Healthcare and Public Health
Causal Inference and Missing Data
Dependent Data
+7
M
Causal Inference
Machine Learning
Philosophical Ethics and Theory
Advanced Causal Inference Techniques
+3
A
Anru Zhang

Professor of Biostatistics & Bioinformatics, Associate Professor of Biostatistics & Bioinformatics and Associate Professor of Computer Science

Computer Science

Duke University

Automotive and Human Injury Biomechanics
Effects of Vibration on Health
Traffic Control and Management
Sparse and Compressive Sensing Techniques
+4
F
Florentina Bunea

Professor of Statistics and Data Science

Computer Science

Cornell University

Asymptotic Statistics
High-Dimensional Statistical Inference
Latent Space Estimation
Machine Learning
+11
A
Adam Krzyzak

Professor, Computer Science and Software Engineering

Computer Science

Concordia University

Control Systems and Identification
Face and Expression Recognition
Image and Signal Denoising Methods
Neural Networks and Applications
+1
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