Thursday October 1
The Michigan League, 2nd floor, Vandenberg Room
5:00pm Registration opens
6:00-8:00pm Poster session and reception
Friday October 2
Rackham Graduate School, 4th floor
8:15am Registration and breakfast
8:50am Opening remarks: Xuming He
Session 1, chair Xuming He
9:00-9:30am Karen Kafadar, University of Virginia
Contributions to Industrial Statistics and their Impact on Medical Screening
9:30-10:00am William Cleveland, Purdue University
Divide & Recombine with Tessera: High Performance Computing for Data Analysis
10:00-10:30am Trevor Hastie, Stanford University
GAM selection via convex optimization
10:30-11:00am Coffee break
Session 2, chair Shuheng Zhou
11:00-11:30am Jeff Wu, Georgia Tech
CME Analysis: a New Method for Unraveling Aliased Effects in Two-Level Fractional Factorial Experiments
11:30-12:00pm William Meeker, Iowa State University
Estimating a Parametric Component Lifetime Distribution from a Collection of Superimposed Renewal Processes
12:00-12:30pm Nozer Singpurwalla, City University of Hong Kong
The Indicative and Irrealis Moods in Bayesian Inference
12:30-2:00pm Lunch break (on your own)
Session 3, chair Long Nguyen
2:00- 2:25pm Earl Lawrence, Los Alamos National Labs
An In Situ Approach to Partitioning a Complex Simulation
2:25-2:50pm Roshan Vengazhiyil, Georgia Tech
Uncertainty Quantification and Robust Parameter Design in Machining Simulations
2:50-3:15pm Judy Jin, University of Michigan
Signals by Integrating ICA and SCA Methods
3:15-3:40pm Casey Diekman, New Jersey Institute of Technology
Discovering Functional Neuronal Connectivity from Serial Patterns in Spike Train Data
3:40-4:10pm Coffee break
Session 4, chair Susan Murphy
4:10-4:40pm Eric Laber, North Carolina State University
Online estimation of optimal treatment allocation strategies
4:40-5:10pm Nalini Ravishanker, University of Connecticut
Clustering Sets of Nonlinear and Nonstationary Time Series
5:10-5:40pm Kwok Leung Tsui, City University of Hong Kong
Evolution of Big Data Analytics
6:00pm Conference banquet Campus Inn, 615 E. Huron St., Regency Ballroom
(drinks and hors d’oeuvres served from 6:00pm, sit down dinner at 7pm)
Saturday October 3
Rackham Graduate School, 4th floor
Session 5, chair Kerby Shedden
9:00-9:30am Jianjun Shi, Georgia Tech
Statistics Methods Driven by Engineering Model for System Performance Improvement
9:30-10:00am Derek Bingham, Simon Fraser University
Prediction Using Outputs From Multi-fidelity Simulators
10:00-10:30am David Higdon, Virginia Tech
Connecting Model-Based Predictions to Reality
10:30-11:00am Coffee break
Session 6, chair Liza Levina
11:00-11:30am Peter Bickel, UC Berkeley
Identifying Erdos-Renyi nodes in block models
11:30-12:00pm Kjell Doksum, University of Wisconsin, Madison
Perspectives on small and large data
12:00-12:30pm Jerry Lawless, University of Waterloo
Big Data and Scientific Inference
12:30-2:00pm Lunch at the Michigan League, 2nd floor, Hussey room (included with registration)
Session 7, chair Ji Zhu
2:00-2:25pm Xiao Wang, Purdue University
Optimal Estimation for the Functional Cox Model
2:25-2:50pm Adam Rothman, University of Minnesota
Indirect multivariate response linear regression
2:50-3:15pm Bowei Xi, Purdue University
Adversarial Data Mining
3:15-3:40pm Aijun Zhang, Hong Kong Baptist University
Big Data Analytics in Online Education
3:40pm Closing remarks
