510-229-2990

Applications:
Engineering, Healthcare Research, Social Science
Methodologies:
Bayesian Methods, Causal Inference, Data Mining, Machine Learning, Mathematical and Statistical Modeling, Statistics

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.