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Statistics Department Seminar Series: Pragya Sur, Department of Statistics, Stanford University
"A modern maximum-likelihood approach for high-dimensional logistic regression"
Logistic regression is arguably the most widely used and studied non-linear model in statistics. Classical maximum-likelihood theory based...
Statistics Department Seminar Series: Yuansi Chen, Department of Statistics, University of California, Berkeley
"Stability-driven deep model interpretation and provably fast MCMC sampling"
Data science is transforming many traditional ways in which we approach scientific problems. While the abundance of data and algorithms...
Statistics Department Seminar Series: Qingyuan Zhao, Department of Statistics, Wharton School, University of Pennsylvania
Mendelian randomization: A comprehensive statistical approach and applications to preventing heart disease
Mendelian randomization (MR) can give unbiased estimate of a confounded causal effect by using genetic variants as instrumental variables....
