Yili Hong, SPES JSM 2018 Program Chair

SPES has a slate of four invited and three topic-contributed sessions lined up for the upcoming JSM in Vancouver. SPES is also co-sponsoring multiple invited and topic-contributed sessions.

Invited Sessions

• Lead with Statistics in Uncertainty Quantification, organized by Lulu Kang from Illinois Institute of Technology, with speakers Jeff Wu, David Steinberg, and David Woods
• A Life Cycle View of Statistics, organized by David Steinberg from Tel Aviv University, with panelists Laura Freeman, Ron Kenett, John Peterson, and Agus Sudjianto
• Statistical Methods for Remote Sensing Data, organized by Jonathan Hobbs from Jet Propulsion Laboratory, with speakers Amy Braverman, Matthias Katzfuss, and Andrew Finley
• Experimental Design Thinking for Big Data, organized by Xinwei Deng from Virginia Tech and Devon Lin from Queen’s University, with speakers Min Yang, John Stufken, and Peter Chien

Topic-Contributed Sessions

• New Approaches to Modeling and Inference for Complex Space-Time Data, organized by Ta-Hsin Li from IBM T. J. Watson Research Center
• Advancement in Statistical Methods for Reliability Data, organized by Lu Lu from the University of South Florida
• Statistical Aspects in Stochastic and Deterministic Simulation, organized by Wei Xie from Rensselaer Polytechnic Institute and Qiong Zhang from Virginia Commonwealth University

Co-Sponsored Invited and Topic-Contributed Sessions

• Statistical Process Monitoring of High-Volume Data Streams, with Quality and Productivity
• New-Generation Experimental Design and Causal Inference in High-Tech Companies, with Quality and Productivity
• Field to Fork: Leading with Statistics in the Food Industry, with Quality and Productivity
• Novel Theory and Methods in Big Data Analytics, with Statistical Learning and Data Science
• Statistical Computing on Parallel Architectures, with Statistical Computing

Continuing Education Course

• Topics in Design of Computer Experiment: Recent Advances in Latin Hypercube and Uniform Designs, led by Dennis Lin of Pennsylvania State University (there is an added fee for this course)