Tuesday, 08/11/2015
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Managing Analytic Projects: What Works and What Doesn't
Chuck Kincaid, Experis Business Analytics
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Bayes and Big Data
Steven Scott, Google
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The Citation Pattern for Business and Statistics Journals: Changes in the 21st Century
Mary Whiteside, The University of Texas at Arlington; Mark Eakin, The University of Texas at Arlington; Sridhar Nerur, The University of Texas at Arlington
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What Can Be the Extent of Contributions of Statistical Sciences to Cyber-Risk and CLOUD Computing Domain in a Security- and Privacy-Conscious World?
Mehmet Sahinoglu, Auburn University
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Big Data and the Social Sciences
Seth Stephens-Davidowitz, The New York Times/Social Science Research Council
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Sparse Generalized PCA for Selectable High-Dimensional Analysis
Qiaoya Zhang; Yiyuan She, Florida State University; M. Ross Kunz, Idaho National Laboratory
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Vital Collaborations Among Academia, Industry and Government
Dongseok Choi, Oregon Health & Science University; John E. Kolassa, Rutgers University; Mani Lakshminarayanan , Pfizer Inc.; Barry D. Nussbaum , EPA; A. James O'Malley, Dartmouth College; Wei Shen , Eli Lilly and Company
8:30 AM
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Heterogeneous Data Analysis, Based on HDLSS Asymptotics
James Stephen Marron, The University of North Carolina
8:35 AM
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"Am I a Data Scientist?": The Applied Statistics Student's Identity Crisis
Alyssa Frazee, Stripe
8:35 AM
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Phylogenetic Experimental Design in the Era of Big Data
Jeffrey P. Townsend, Yale University
8:35 AM
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Sparse Generalized PCA for Selectable High-Dimensional Analysis
Qiaoya Zhang; Yiyuan She, Florida State University; M. Ross Kunz, Idaho National Laboratory
8:45 AM
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Large Scale Visual Exploration of Radiological and Nuclear Risk Assessment Methods
Landon Sego, Pacific Northwest National Laboratory; Daniel Fortin, Pacific Northwest National Laboratory; Robert Brigantic, PNNL
8:50 AM
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Big Data Approaches for Clinical RNA Sequencing (RNA-Seq)
Shihao Shen, UCLA
8:50 AM
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Efficient Penalty Search for Multiple Changepoint Detection in Big Data
Kaylea Haynes, Lancaster University; Idris Eckley, University of Lancaster; Paul Fearnhead, Lancaster University
8:55 AM
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Examining Model Fit for Logistic Regression on Large Data Sets
Todd Connelly
9:20 AM
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Application of ADMM Method for Large Scale Statistical Models
Ganesh Subramaniam, AT&T Labs Research; Ravi Varadhan, The Johns Hopkins University; Todd Larchuk, AT&T Labs Research; Huitong Qiu, The Johns Hopkins University
9:20 AM
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Evaluating Data Science Contributions in Teaching and Research
Lance Waller, Emory University
9:25 AM
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Bayesian Melding of the Dead-Reckoned Path and GPS Measurements for an Accurate and High-Resolution Path of Marine Mammals
Yang Liu, The University of British Columbia; Brian C. Battaile, The University of British Columbia Marine Mammal Research Unit; James Zidek, The University of British Columbia; Andrew W. Trites, The University of British Columbia Marine Mammal Research Unit
9:35 AM
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The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS): Statistical Designs and Methods for Predicting Non-Fatal Suicidal Behaviors
Tzu-Cheg Kao, Uniformed Services University of the Health Sciences; Steven Heeringa, University of Michigan Institute for Social Research; Alan Zaslavsky, Harvard Medical School; James Naifeh, CSTS, USUHS; Pablo Aliaga, CSTS, USUHS; Patti Vegella, CSTS, USUHS; Tsz Ng, CSTS, USUHS; Bailey Zhang, CSTS, USUHS; Christina Buckley, CSTS, USUHS; Carol Fullerton, CSTS, USUHS; Gary Wynn, CSTS, USUHS; James McCarroll, CSTS, USUHS; Nancy Sampson, Harvard Medical School; Lisa Colpe, NIH/NIMH; Michael Schoenbaum, NIH/NIMH; Kenneth Cox, U.S. Army Public Health Command; Ronald Kessler, Harvard Medical School; Murray Stein, UC San Diego/VA San Diego Healthcare System; Robert Ursano, CSTS, USUHS
9:35 AM
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Tracking Evolution in Text Data Streams via Online Density-Based Clustering
Avory Bryant, Naval Surface Warfare Center
9:35 AM
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Variable Selection Methods for Big Data-A Comparative Study
Jun Liu; Xuejing Mao, AT&T
9:35 AM
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An Efficient GLS Algorithm for Periodic Regression with Autoregressive Errors
Jaechoul Lee, Boise State University; Anthony Dini, Boise State University; William Negri, Boise State University
9:35 AM
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Augmenting Traditional Estimation with Non-Designed Data: Application to the US Unemployment Rate
Robert Montgomery, NORC at the University of Chicago; Martin Barron, NORC at the University of Chicago; Nicki Dunnavant, NORC at the University of Chicago; Yongheng Lin, NORC at the University of Chicago; Ilana Ventura, NORC at the University of Chicago
12:05 PM
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Messy Data: Teaching Students Early on About the Realities of Data
Ann Cannon, Cornell College
2:25 PM
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Fusion Learning by Individual-To-Clique (FLIC): Efficient Approach to Enhancing Individual Inference Through Adaptive Combination of Confidence Distributions
Minge Xie, Rutgers University; Regina Y. Liu, Rutgers University; Jieli Shen, Rutgers University
2:55 PM
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Issues in Methodological Strategies for Marginal Structural Models with Large Data Sets
Bret Zeldow; Jason Roy, University of Pennsylvania
3:20 PM
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