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2007-5-3 Boosted Lasso Peng Zhao [email protected] Department of Statistics University of Berkeley 367 Evans Hall Berkeley, CA 94720-3860, USA Bin Yu [email protected] Department of Statisticsget price
2007-9-24 technologies have to be integrated into statistics, and statistical thinking in turn must be integrated into computer technologies. 1. INTRODUCTION “Information technology (IT) is a broad subject concerned with technology and other aspects of managing and processing information, especially in large or-ganizations.get price
2012-7-18 Berkeley, CA 94720-1776 USA e-mail: [email protected] [email protected] [email protected] [email protected] Abstract: Given i.i.d. observations of a random vector X ∈ Rp, we study the problem of estimating both its covariance matrix Σ∗, and its inverse covariance or concentration matrix Θ ∗= (Σ )−1get price
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I am a member of the U.S. National Academy of Sciences and a fellow of the American Academy of Arts and Sciences. I was a Guggenheim Fellow in 2006, and the Tukey Memorial Lecturer of the Bernoulli Society in 2012. I was President of IMS (Institute of Mathematical Statistics) in 2013-2014 and the Rietz Lecturer of IMS in 2016.get price
Bin Yu is Chancellor's Distinguished Professor and Class of 1936 Second Chair in the Departments of statistics and EECS, and Center for Computational Biology at UC Berkeley. She obtained her BS Degree in Mathematics from Peking University, and MS and PhD Degrees in Statistics from UC Berkeley. She was Assistant Professor at UW-Madison, Visitingget price
Research. In 2014, I was elected to the National Academy of Sciences based on my statistical and scientific contributions, as well as my broad vision of data science best described in my article Veridical Data Science, written together with my former student Karl Kumbier. In this work, I introduced a framework based on three principlesget price
2015-11-17 Yu's research interestes are varied and included empirical processes, Markov Chain Monte Carlo methods, information theory and signal processing. She is currently working on statistical machine learning theory and get price
Statistics at UC Berkeley. We are a community engaged in research and education in probability and statistics. In addition to developing fundamental theory and methodology, we are actively involved in statistical problems that arise in such diverse fields as molecular biology, geophysics, astronomy, AIDS research, neurophysiology, sociology, political science, education, get price
2010-10-21 Department of Statistics University of California Berkeley, CA 94720, USA e-mail: [email protected] [email protected] [email protected] Abstract: Networks or graphs can easily represent a diverse set of data sources that are characterized by interacting units or actors. Social networks, representing peopleget price
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Bin Yu is Chancellor's Distinguished Professor and Class of 1936 Second Chair in the Departments of statistics and EECS, and Center for Computational Biology at UC Berkeley. She obtained her BS Degree in Mathematics from Peking University, and MS and PhD Degrees in Statistics from UC Berkeley. She was Assistant Professor at UW-Madison, Visitingget price
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