Conference On
High-Dimensional Statistics

High-Dimensional Statistics has grown out of modern research activities in diverse fields such as science, technology, and business, aided by powerful computing

Conference On
High-Dimensional Statistics

It encompasses several emerging fields in statistics such as high-dimensional inference, dimension reduction, data mining, machine learning, and bioinformatics.

Conference On
High-Dimensional Statistics

High-dimensional statistical techniques are being integrated into courses in other disciplines to create advanced interdisciplinary programs.

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Next Admissions Event: TUCC Tuesday - December 2, 2014 at 10:00 am

Conference on
High-Dimensional
Statistics

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Schedule

All talks will be given at Alter Hall, 7th floor.

Time	Event Information
8:30 am – 9:00 am	CONTINENTAL BREAKFAST Opening Remarks by Hai-Lung Dai, Provost and Senior Vice President for Academic Affairs Introduction by Moshe Porat, Dean, Fox School of Business
9:00 am – 10:30 am	Session I: High-Dimensional Statistical Inference Session Chair: Stan Altan, Senior Research Fellow, Johnson & Johnson Jianqing Fan: Endogeneity in Ultra High Dimensional Models Liza Levina: Mixed and Covariate-Dependent Graphical Models
10:30 am – 10:45 am	COFFEE BREAK
10:45 am – 12:15 pm	Session II: Spatio-Temporal Data Applications Session Chair: Kris Ghosh, Vice President of Informatics, Covance Sudipto Banerjee: On Hierarchical Modeling for Massively Scalable Inference from Spatially Oriented Datasets Zoran Obradovic: Learning from High Dimensional Partially Observed Temporal Data
12:15 pm – 1:30 pm	LUNCH Keynote Speaker: Sastry Pantula: Big Data and Opportunities in the International Year of Statistics Introduction by Paul A. Pavlou, Director, PhD Program in Business Administration, Fox School
1:30 pm – 3:00 pm	Session III: Computational Algorithms for High-Dimensional Data Session Chair: Joseph Heyse, Vice President of Biostatistics, Merck Research Labs Edward George: EMVS: The EM Approach to Bayesian Variable Selection Diane Lambert: Statistics At Google Scale
3:00 pm – 3:15 pm	COFFEE BREAK
3:15 pm – 4:45 pm	Session IV: Genomic Applications Session Chair: Eric Ross, Director, Assistant Vice President of Biometrics and Information Sciences, Fox Chase Cancer Center Mark van der Laan: Targeted Learning with High Dimensional Data John Storey: Cross-Dimensional Inference of Dependent High-Dimensional Data
4:45 pm – 5:00 pm	Closing Remarks: Sanat Sarkar, Cyrus H.K. Curtis Professor and Chair, Department of Statistics

Links

Statistics Department

Fox School of Business

Philadelphia

Conference onHigh-DimensionalStatistics

Schedule

All talks will be given at Alter Hall, 7th floor.

Conference on
High-Dimensional
Statistics