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The Hollander Distinguished Lectureship

Myles Hollander Distinguished Lectureship

This lectureship will take place on Wednesday, November 9th at 11:00 a.m.

See the Program

Click here to register for the 2022 Myles Hollander Lectureship

All attendees must register for the lecture, whether attending in-person or by Zoom!

FSU Announces Dr. Trevor Hastie as the 2022 Myles Hollander Distinguished Lecturer
The Department of Statistics at Florida State University is pleased to announce that Trevor Hastie, John A. Overdeck Professor of Mathematical Sciences, Professor of Statistics and Professor of Biomedical Data Science in the School of Humanities and Sciences at Stanford University, is the 2022 Myles Hollander Distinguished Lecturer. Hastie will present Cross-validation in Model Selection and Assessment.

About Dr. Trevor Hastie
Hastie received his bachelor’s degree from Rhodes University, South Africa in 1976, his master’s degree from the University of Cape Town in 1979, and his Ph.D. from Stanford University in 1984. Hastie’s research focuses on applied statistics, specifically in the fields of statistical modeling, bioinformatics and machine learning. Before becoming a Stanford professor in 1994, he worked at AT&T Bell Laboratories for almost a decade, where he contributed to the development of the statistical modeling environment popular in the R computing system. Hastie has published six books and over 200 articles, and he has co-edited a large software library on modeling tools for statistical computing. Recent awards include the Breiman Award from the American Statistical Association in 2020 and the University of Bologna Sigillum Magnum in 2019. Hastie is an elected member of the Royal Netherlands Academy of Arts and Science and the U.S. National Academy of Sciences. He is a fellow of the American Statistical Association, the Institute of Mathematical Statistics and the Royal Statistical Society.

Lecture Abstract

Cross-validation is ubiquitous in data science, and is used for both model selection and assessment. Yet in some regards it is poorly understood. In this talk we discuss three aspects of CV:
•    What CV estimates?
•    Confidence intervals for prediction error using nested CV.
•    Out-of-bag error for random-forests and standard error estimates.
The research discussed is joint work with Stephen Bates, a post-doctoral researcher at University of California, Berkeley; Samyak Rajanala, a doctoral student at Stanford University; and Rob Tibshirani, a statistics professor at Stanford.
This lecture is dedicated to the late Leo Breiman, a distinguished statistician at the University of California, Berkeley, and Colin Mallows, a renowned statistician who worked at Bell Labs and AT&T Labs for forty years.


The Myles Hollander Distinguished Lectureship is sponsored by:


About the Lectureship
The Myles Hollander Distinguished Lectureship was established by Robert O. Lawton Distinguished Professor and statistics professor emeritus at Florida State University Myles Hollander, in appreciation of the university, its statistics department, and the statistics profession. The annual lectureship recognizes an internationally renowned leader and pioneering researcher in statistics who has made a sustained impact on the field, and the lectures will feature topics spanning the breadth of statistics.

About Myles Hollander
Professor Emeritus Myles Hollander joined the FSU Department of Statistics in 1965 upon completion of his M.S. and Ph.D. in Statistics at Stanford University after earning his B.S. in Mathematics from Carnegie Institute of Technology. He made substantial and enduring research contributions to nonparametric statistics, reliability theory, survival analysis, biostatistics and probability theory, among other areas. Hollander co-authored textbooks on nonparametric statistics, biostatistics, and introductory statistics.

Hollander is Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics and an Elected Member of the International Statistical Institute. He served as editor of the Journal of the American Statistical Association, Theory and Methods (1994-1996) after being editor-elect (1993-1994). In 2003, the American Statistical Association recognized him with the Gottfried E. Noether Senior Scholar Award for his excellence in theory, methodology, and applications in nonparametric statistics.

At FSU, Hollander served as statistics chair for nine years (1978-1981, 1999-2005). He received the Professorial Excellence Award in 1977, was named Distinguished Research Professor in 1996, and in 1998 was named Robert O. Lawton Distinguished Professor, the highest honor Florida State faculty bestow upon one of their own. He retired in 2007 after 42 years of service.

For questions, please email us at: events@stat.fsu.edu

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