510-229-2990

Applications:
Electrical Engineering, Epidemiology, Law, Operations Research, Transportation Research
Methodologies:
Algorithms, Bayesian Methods, Causal Inference, Classification, Decision Science, Deep Learning, High-Dimensional Data Analysis, Machine Learning, Mathematics, Missing Data and Imputation, Signal Processing, Statistical Analysis and Simulation, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis

Ya’acov Ritov

Professor

Department of Statistics

My main interest is theoretical statistics as implied to complex model from semiparametric to ultra high dimensional regression analysis. In particular the negative aspects of Bayesian and causal analysis as implemented in modern statistics.

An analysis of the position of SCOTUS judges.