Invited Program
Invited speakers and abstracts
Link to abstract under presenting author's name.
Participants will also be invited to submit full papers of their presentations for possible publication in a special issue of Applied Stochastic Models in Business and Industry. Download the flyer for more information.
Invited 1-A, Room 2207
Wednesday, June 10, 2015, 10:30-12:00
Business Analytics: The Tip of the Iceberg
Organizer and Chair: Anne Hansen, Intel Corporation
1) Statistics and Big Data at Google, Tim Hesterberg, Google Corporation
2) Integrating Analytics and Engineers at GE, Martha Gardner, GE Global Research
Invited 1-B, room 2210
Wednesday, June 10, 2015, 10:30-12:00
Applications of Text Analytics
Organizer: Mark Bailey, SAS Institute
Chair: Cat Truxillo, SAS Institute
1) Harness the Power of Text Mining: Unstructured Data Analysis for Quality and Productivity Applications, W. Heath Rushing, Adsurgo LLC Presentation
2) How to Early Detect Pervasive Quality Issues: A Business Case in Using Perceptual Quality Control Methods with SAS Text Analytics, Murali Pagolu, SAS Institute and Mohammed Chaara, Lenovo
Invited 2-A, room 2207
Wednesday, June 10, 2015, 1:30-3:00
Modern Regression Methods
Organizer and Chair: Diane K. Michelson, SAS Institute
1) Variable Selection via Penalized Regression: An Overview, Howard Bondell, NCSU Presentation
2) Penalized Regression for Variable Screening in Designed Experiments, Clay Barker, SAS Institute Presentation
3) Ammunition Projectile Chemical Coating Experiment, Douglas Ray, US Army and Tom Donnelly, SAS Institute Presentation
Invited 2-B, room 2210
Wednesday, June 10, 2015, 1:30-3:00
Computer Experiments
Organizer and Chair: Bill Notz, Ohio State University
1) When importance sampling meets stochastic simulations, Youngjun Choe, University of Michigan
2) Latin Hypercube Design-based Block Bootstrap for Computer Experiment Modeling, Ying Hung, Rutgers University
3) Modeling an Augmented Lagrangian for Blackbox Constrained Optimization, Bobby Gramacy, University of Chicago Presentation
Invited 3-A, room 2207
Wednesday, June 10, 2015, 4:00-5:30
Reliability and Quality Control
Organizer: Theresa L. Utlaut, Intel Corporation
Chair: Anne Hansen, Intel Corporation
1) Risk Assessment Based on Limited Field Data, Bill Meeker, Iowa State University
2) Bayesian Additive Modeling for Quality Control of 3D Printed Products, Arman Sabbaghi, Purdue University Presentation
Invited 3-B, room 2210
Wednesday, June 10, 2015, 4:00-5:30
Decision Making Using Simulation
Organizer: Scott Kowalski, Minitab
Chair: Doug Gorman, Minitab
1) Product Optimization using Monte Carlo Simulation to Incorporate Factor Variation, Jennifer Atlas, Minitab
2) Using Simulation to Incorporate Response Variability into Pareto Front Optimization, Christine Anderson-Cook, Los Alamos National Laboratory Presentation
Invited 4-A, room 2207
Thursday, June 11, 2015, 10:30-12:00
Latest Developments in Statistical Process Control
Organizer and Chair: Jun Li, University of California, Riverside
1) Dynamic Control Limits for the Risk-adjusted Bernoulli CUSUM Chart for Monitoring Surgical Outcome Quality, Bill Woodall, Virginia Tech Presentation
2) Monitoring and Diagnosis of High-Dimensional Data Streams Via Recursive Smooth-Sparse Decomposition, Kamran Paynabar and Hao Yan, Georgia Tech
3) CUSUM Algorithm for Detecting Translations in Gamma Distributions, Dan Jeske, University of California, Riverside
Invited 4-B, room 2210
Thursday, June 11, 2015, 10:30-12:00
Novel Statistical Approaches for Reliability and Safety Studies
Organizer and Chair: Nalini Ravishanker, University of Connecticut
1) Nonparametric Estimation of the Conditional Mean Residual Life Function, Sujit K. Ghosh, NCSU
2) Bayesian Replacement Strategies for Rail Tracks, Refik Soyer, George Washington University
3) Statistical Assessment of Highway Transportation Safety, Yaohua Zhang, University of Connecticut Presentation
Invited 5-A, room 2207
Thursday, June 11, 2015, 1:30-3:00
Developments in Design
Organizer and Chair: Arman Sabbaghi, Purdue University
1) Recent Advances in Design of Computer Experiments, Dennis Lin, Penn State University Presentation
2) An Experimental Design Algorithm for Large-Scale Statistical Computation, Peter Qian, University of Wisconsin, Madison
3) Hidden Connections Between Different Projections under the Linear-Quadratic Parameterization, Arman Sabbaghi, Purdue University Presentation
Discussant: Jon Stallings, NCSU
Invited 5-B, room 2210
Thursday, June 11, 2015, 1:30-3:00
Big Data in Business and Industry
Organizer and Chair: Philip J. Ramsey, University of New Hampshire
1) Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective, Maria Weese, Miami University Presentation
2) Fox News Network Data Analysis: Bayesian Dynamic Modeling, Karou Irie, Duke University
Invited 6-A, room 2207
Thursday, June 11, 2015, 4:00-5:30
Panel Discussion - Modern DOE Training Methods
Organizer: Diane K. Michelson, SAS Institute
Moderator: Philip J. Ramsey, University of New Hampshire
Panel:
Shari Kraber, Stat-Ease
Doug Montgomery, Arizona State University
Joanne Wendelberger, Los Alamos National Laboratory
Mark Bailey, SAS Institute Presentation
Invited 6-B, room 2210
Thursday, June 11, 2015, 4:00-5:30
Functional Data Analysis
Organizer, Diane K. Michelson, SAS Institute
Chair: Anne Hansen, Intel Corporation
1) Exploratory Analysis of Functional Data, Naveen N. Narisetty, University of Michigan
2) Generalized Function-on-Function Regression, Janet Kim, North Carolina State University Presentation
Invited 7-A, room 2207
Friday, June 12, 2015, 8:30-10:00
Covering Arrays
Organizer and Chair: Joseph Morgan, SAS Institute
1) Covering Arrays and Software Testing, Joseph Morgan, SAS Institute Presentation
2) Using a Covering Array Augmented with Specific Test Cases to Test a Statistical Analysis Application, Michael Crotty, SAS Institute Presentation
3) Covering Arrays and Access Control Policies, JeeHyun Hwang, SAS Institute
Natrella Session, room 2210
Friday, June 12, 2015, 8:30-10:00
Organizer: Will Guthrie, NIST
Chair: Martha Gardner, GE
1) Analytical Heuristic Decision-Making Methods for Complex High-Dimensional Failure Data Selection and Classification, Keivan Sadeghzadeh, Nasser Fard, Northeastern University Presentation
2) Uncertainty analysis for importance sampling estimators with stochastic simulations, Youngjun Choe, University of Michigan
Invited 8-A, room 2207
Friday, June 12, 2015, 10:30-12:00
Design and Analysis of Screening Experiments
Organizer: Mark Bailey, SAS Institute
Chair: Maria L. Weese, University of Miami, OH
1) The Necessity of the Sparsity Assumption in Unreplicated Screening Experiments, Bradley Jones, SAS Institute Presentation
2) Model Selection Strategies for Definitive Screening Designs, Maria L. Weese, University of Miami, OH, Douglas C. Montgomery, Arizona State University, Philip J. Ramsey, University of New Hampshire Presentation
3) Designs of variable resolution robust to non-negligible two-factor interactions, Ryan Lekivetz, SAS Institute Presentation
Plenary speakers and abstracts
John Sall, Welcome Presentation
Christopher Gotwalt, What is REML? Why Does it Work? And How Do We Extend it to the Generalized Linear Mixed Model? Presentation
Janet Myhre, Honored Guest, Consulting U Education Presentation
Michael Rappa, Analytics: A Quick Guide
Jerry Williams, The Bottom Line on Stewardship - a Catalyst for Innovation
Blan Godfrey, A Random Walk through Statistics Or Forrest Gump Does Quality
2015 QPRC
