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Philip B. Stark

Professor of Statistics
Department of Statistics
stark@stat.berkeley.edu
(510) 394-5077

Research Expertise and Interest

astrophysics, causal inference, educational technology, elections, geophysics, inverse problems, law, litigation, statistics, uncertainty quantification

Description

<p>My research centers on inference (inverse) problems, especially confidence procedures tailored for specific goals. Applications include the Big Bang, causal inference, the U.S. census, earthquake prediction, election auditing, food web models, the geomagnetic field, geriatric hearing loss, information retrieval, Internet content filters, nonparametrics (confidence sets for function and probability density estimates with constraints), the seismic structure of Sun and Earth, spectroscopy, spectrum estimation, and uncertainty quantification for computational models of complex systems. Numerical optimization is important to my work; I've published some software. <p>Consulting and expert witness topics have included truth in advertising, election contests, equal protection under the law, intellectual property and patent litigation, jury selection, trade secret litigation, employment discrimination litigation, import restrictions, insurance litigation, natural resource legislation, environmental litigation, sampling in litigation, wage and hour class actions, product liability class actions, consumer class actions, the U.S. census, clinical trials, signal processing, geochemistry, IC mask quality control, behavioral targeting, water treatment, sampling the web, risk assessment, and oil exploration.