The 1952 mean–variance theory of Markowitz indicates that large investment portfolios naturally provide better risk diversification than small ones. However, due to parameter estimation errors, one may find ambiguous results in practice. Hence, it is essential to identify relevant stocks to alleviate the impact of estimation error in portfolio selection.
In partially linear model selection, Professor Chih-Ling Tsai and co-authors Hua Liang from the University of Rochester and Hansheng Wang from Peking University develop a profiled forward regression (PFR) algorithm for ultrahigh dimensional variable screening. The PFR algorithm effectively combines the ideas of nonparametric profiling and forward regression.
This book by Professor Chih-Ling Tsai and co-author Allan D. R. McQuarrie from North Dakota State University describes procedures for selecting a model from a large set of competing statistical models.
UPDATE: Andrew Barkett is leaving his post as senior engineer at Facebook to bring his decade of experience in Silicon Valley to become the first-ever chief technology officer for the Republican National Committee.The June 4 announcement has stirred a whirlwind of media coverage, including the Huffington Post and Washington Post.Bark
Agilent Technologies’ Electronic Measurement Group is a $3.6 billion business that over the past decade has seen a dramatic shift in its customer base from U.S., and Western European customers to predominantly Asia-based customers. Today, the majority of the division’s revenues are generated outside of the U.S., with an increasing concentration in China.
(Davis, CA) — The UC Davis Graduate School of Management’s full-time MBA program has been ranked among the top six percent of AACSB International-accredited programs nationwide, according to U.S. News & World Report’s latest graduate business school rankings released today.