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Biostatistics Seminars

Department of Biostatistics Seminar Series


The Department of Biostatistics presents a regular speaker series each semester, generally on Thursday afternoon each week. Diverse experts lecture on their work in biostatistics.

Upcoming Biostats Seminars

Thu 9/21/2017 3:30PM - 5:00PM
Biostatistics Seminar: Scott Bruce, Temple University
Public Health Auditorium (G23)

Biostatistics Seminar guest speaker, Scott Bruce, of Temple University, will present, "Conditional Adaptive Spectral Analysis of Nonstationary Biomedical Time Series"
Thu 9/28/2017 3:30PM - 5:00PM
Biostatistics Seminar: David Choi - Carnegie Mellon University
Public Health Auditorium (G23)

Biostatistics Seminar guest speaker, David Choi, Carnegie Mellon University, will present, "Estimation of Monotone Treatment Effects in Network Experiments".
Thu 10/5/2017 3:30PM - 4:30PM
Biostatistics Seminar: Hongtu Zhu, MD Anderson Cancer Center
Public Health Auditorium (G23)

Biostatistics Seminar guest speaker, Hongtu Zhu, PhD, The University of Texas MD Anderson Cancer Center, will present, “Statistical Challenges, Opportunities, and Strategies in Large-Scale Medical Studies”.
Thu 10/26/2017 3:30PM - 5:00PM
Biostatistics Seminar: Ying Haung, Fred Hutchinson Cancer Research Center
Public Health Auditorium (G23)

Biostatistics Seminar guest speaker, Ying Haung, Fred Hutchinson Cancer Research Center, will present.
Thu 11/2/2017 3:30PM - 5:00PM
Biostatistics Seminar: Dong-Yun Kim, NIH/NHLBI
Public Health Auditorium (G23)

Biostatistics Seminar guest speaker, Dong-Yun Kim, NIH/NHLBI, will present.
Thu 11/9/2017 3:30PM - 5:00PM
Biostatistics Seminar: Wen-Chi Woo, Merck
Public Health Auditorium (G23)

Biostatistics Seminar guest speaker, Wen-Chi Woo, Merck, will present.
Thu 11/16/2017 3:30PM - 5:00PM
Biostatistics Seminar: Michael Wallace, University of Waterloo
Public Health Auditorium (G23)

Biostatistics Seminar guest speaker, Michael Wallace, University of Waterloo, will present.

Previous Biostats Seminars

Biostatistics Seminar Series

Ali Shojaie, University of Washington - Flexibility in High Dimensions: Sparse Additive Models

Thursday 4/6 3:30PM - 4:30PM
Public Health Auditorium (G23)

Biostatistics Seminar speaker, Ali Shojaie, PhD, Associate Professor, Dept. of Biostatistics, University of Washington, will present, “Flexibility in High Dimensions: Sparse Additive Models with Adaptive Truncation via a Convex Hierarchical Penalty”.
 
ABSTRACT: We consider the problem of nonparametric regression with a potentially large number of covariates. We propose a convex penalized estimation framework that is particularly well-suited for high-dimensional sparse additive models. Existing sparse additive modeling approaches assume that all additive components have the same level of complexity and are thus not data-adaptive. In contrast, the proposed approach selects the appropriate level of complexity for each additive component data-adaptively . Importantly, this flexibility is achieved without sacrificing computational efficiency: We demonstrate that the proposed approach scales similarly to the LASSO with the number of covariates and samples size. We demonstrate these properties through empirical studies on both real and simulated datasets and show that our estimator converges at the minimax rate. 

 

Last Updated On Thursday, March 30, 2017 by Kapko, Bernadette E
Created On Monday, December 19, 2016

Contact

For information on seminars and events in the department, contact:

Bernadette Kapko
bkapko@pitt.edu
412-624-3022

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