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CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Activity Details


Register CE_11C 		Sun, 7/30/2017, 8:30 AM - 5:00 PM H-Holiday Ballroom 1
Preparing Statistician/Statistics Graduates to Be Data Scientists (ADDED FEE) — Professional Development Continuing Education Course
ASA , Quality and Productivity Section , Section on Physical and Engineering Sciences
Instructor(s): Ming Li, Amazon and TAMU - Commerce, Hui Lin, DuPont Pioneer
8:30 AM Preparing Statistician/Statistics Graduates to Be Data Scientist (ADDED FEE) — Ming Li, Amazon and TAMU - Commerce ; Hui Lin, DuPont Pioneer
 
 

38 		Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-342
Reliability Insights — Contributed Papers
Quality and Productivity Section , Section on Physical and Engineering Sciences
Chair(s): Subhabrata Chakraborti, University of Alabama
2:05 PM Sequential Test Planning for Polymer Composites — I-Chen Lee ; Yili Hong, Virginia Tech ; Sheng-T Tseng, National Tsing-Hua University ; Tirthankar Dasgupta, Rutgers University
2:20 PM Bayesian Inference of Accelerated Life Tests for Lognormal Life Distribution and Inverse Power Relationship — Ananda Jayawardhana, Pittsburg State University
2:35 PM A General Algorithm for Computing Simultaneous Prediction Intervals for the (Log)-Location-Scale Family of Distributions — William Meeker, Iowa State University ; Yimeng Xie, Virginia Tech ; Yili Hong, Virginia Tech ; Luis A Escobar, Louisiana State University
2:50 PM TEMPORAL CHANGES in the POWER PRODUCTION of REAL-WORLD PHOTOVOLTAIC SYSTEMS UNDER DIVERSE CLIMATIC CONDITIONS — Rojiar Haddadian, Case Western Reserve University ; Yang Hu, Case Western Reserve University ; Alan J. Curran, Case Western Reserve University ; Ahmad M Karimi, Case Western Reserve university ; Timothy J. Peshek, Case Western Reserve University ; Roger H. French, Case Western Reserve university
3:05 PM Condition-Based Maintenance Policy under Gamma Degradation Process — David Han, University of Texas At San Antonio
3:20 PM On a Time Reversal Approach for Testing a Poisson Intensity Against Smooth and Rough Alternatives — Moinak Bhaduri, University of Nevada, Las Vegas
3:35 PM Convergence Results for Identification of Systems with Binary Subsystems — Long Wang, Johns Hopkins University ; James C Spall, Applied Physics Laboratory
 
 

42 		Sun, 7/30/2017, 2:00 PM - 3:50 PM CC-348
A Cornecopia of Statistics — Contributed Papers
General Methodology , Section on Statistics in Defense and National Security , ENAR , WNAR , Section on Teaching of Statistics in the Health Sciences , Section on Physical and Engineering Sciences , Biometrics Section
Chair(s): Minge Xie, Rutgers University
2:05 PM Time Series Disaggregation for Simulation of Spare Parts Inventory Management — Thomas Willemain, Rensselaer Polytechnic Institute ; Adam George Petrie, University of Tennessee
2:20 PM Variance Estimation for the Sample Mean of Dependent Data Stream — Lei Jin, Texas A&M University -Corpus Christi
2:35 PM Clustering Adult Cystic Fibrosis and Chronic Obstructive Pulmonary Disease Patients Based on Lung Function Dynamics — Barbara Bailey, San Diego State University
2:50 PM Computation of Ancestry Scores with Mixed Families and Unrelated Individuals — Fred Wright, North Carolina State University ; Yi-Hui Zhou, North Carolina State University ; J. S. (Steve) Marron, University of North Carolina
3:05 PM Very High Energy Particle-Beam and Gamma Radiation Exposure and Familial Relatedness in Mice — Mark P Little, National Cancer Institute ; Pavel Chernyavskiy, National Cancer Institute ; Elijah Edmondson, Frederick National Laboratory for Cancer Research ; Michael Weil, Colorado State University
3:35 PM Estimation of the Variance of Nonparametric Trend Estimates from Time Series Replicates Using the Empirical Moment Generating Function — Sucharita Ghosh, Swiss Federal Research Institute WSL
 
 

53 * ! 		Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-328
Complex Risk Structures or Constraints of Reliability of Systems — Invited Papers
Section on Risk Analysis , Section on Physical and Engineering Sciences , Quality and Productivity Section
Organizer(s): Jen Tang, Purdue University
Chair(s): Dennis K.J. Lin, Penn State University
4:05 PM Confidence Distributions for Regime Shifts — Nils Lid Hjort, University of Oslo
4:30 PM Some Models for Load-Sharing Systems and Analyzes — Narayanaswamy Balakrishnan, McMaster University
4:55 PM Semi-Analytical Approach for Designing Accelerated Degradation Tests — Sheng-T Tseng, National Tsing-Hua University ; I-Chen Lee ; Yili Hong, Virginia Tech
5:20 PM Optimal Design of Accelerated Degradation Tests for Wiener Degradation Processes with Budget Constraint and Time-Censoring — Jen Tang, Purdue University ; Ming-Yung Lee, Providence University
5:45 PM Floor Discussion
 
 

62 * ! 		Sun, 7/30/2017, 4:00 PM - 5:50 PM CC-348
New Directions in Computer Experiments — Topic Contributed Papers
Section on Physical and Engineering Sciences
Organizer(s): Matthew Pratola, The Ohio State University
Chair(s): Matthew Pratola, The Ohio State University
4:05 PM Practical Heteroskedastic Gaussian Process Modeling for Large Simulation Experiments — Mickael Binois ; Robert Gramacy, Virginia Tech Department of Statistics ; Mike Ludkovski, University of California, Santa Barbara
4:25 PM Bayesian Calibration of Inexact Computer Models — Matthew Plumlee, University of Michigan
4:45 PM Robust Parameter Design Using Computer Experiments — V. Roshan Joseph, Georgia Institute of Technology ; Li Gu, Wells Fargo & Company ; Shan Ba, Procter & Gamble Company ; William Myers, The Procter & Gamble Company
5:05 PM Nonparametric Functional Calibration of Computer Models — Andrew Brown, Clemson University ; Sez Atamturktur, Glenn Department of Civil Engineering, Clemson University
5:25 PM Discussant: Dave Higdon, SDAL, VBI, Virginia Tech
5:45 PM Floor Discussion
 
 

214681 		Sun, 7/30/2017, 6:00 PM - 9:00 PM H-Key Ballroom 10
Section on Physical and Engineering Sciences Executive Committee Meeting — Other Cmte/Business
Section on Physical and Engineering Sciences
Chair(s): James Wendelberger, Los Alamos National Laboratory and University of New Mexico
 
 

130 * 		Mon, 7/31/2017, 8:30 AM - 10:20 AM CC-306
Statistical Computation, Simulation, and Computer Experiments — Contributed Papers
Section on Physical and Engineering Sciences , Quality and Productivity Section
Chair(s): Terri Henderson
8:35 AM Controlling Sources of Inaccuracy in Stochastic Kriging — Wenjia Wang, Georgia Institute of Technology
8:50 AM Statistical Methods for Prediction of High-Performance Computing I/O Variability — Li Xu, Virginia Tech
9:05 AM Experiment Design and Analysis for Novel Computer Hardware Testing — Sarah Michalak, Los Alamos National Laboratory ; Lisa Moore, Los Alamos National Laboratory ; John Daly, University of Maryland ; Nathan DeBardeleben, Los Alamos National Laboratory ; Gary Delp, Mayo Clinic ; Laura Monroe, Los Alamos National Laboratory ; Heather Quinn, Los Alamos National Laboratory ; James Rose, Mayo Clinic
9:20 AM Detecting Changes in Simulations — Joanne Wendelberger, Los Alamos National Laboratory ; Divya Banesh, Los Alamos National Laboratory ; James Ahrens, Los Alamos National Laboratory
9:35 AM Hidden Markov Model Using Transaction Patterns for ATM Card Fraud Detection — Alfred Akinsete, Marshall University ; Bridget Nkemnole, University of Lagos
9:50 AM Quantification of Sparsely Sampled Atomic-Scale Phenomena Using a Spatio-Temporal Mixture Model — Bryan A. Stanfill, Pacific Northwest National Laboratory ; Maggie Johnson, Iowa State University ; Sarah Reehl, Pacific Northwest National Lab ; Petruta Caragea, Iowa State University ; Lisa Bramer, Pacific Northwest National Lab
10:05 AM A Statistical Framework for Power Theft Detection in Smart Grid Networks — Jin Tao, University of Florida ; George Michailidis, University of Florida
 
 

Register 193 		Mon, 7/31/2017, 12:30 PM - 1:50 PM CC-Ballroom II
Section on Physical and Engineering Sciences P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Physical and Engineering Sciences , Quality and Productivity Section
Organizer(s): Yili Hong, Virginia Tech
ML21: Design of Experiment for Big Data Era — Dennis K.J. Lin, Penn State University
 
 

203 * ! 		Mon, 7/31/2017, 2:00 PM - 3:50 PM CC-331/332
Emerging Statistical Methods for Big Tensor Data in Chemometrics and Related Fields — Invited Papers
Section on Physical and Engineering Sciences , Quality and Productivity Section , Section on Statistical Computing
Organizer(s): Ping Ma, University of Georgia
Chair(s): Ping Ma, University of Georgia
2:05 PM Tensor Sufficient Dimension Reduction — Wenxuan Zhong, University of Georgia
2:30 PM SPARSE LOW-RANK TENSOR RESPONSE REGRESSION — Will Wei Sun, University of Miami ; Lexin Li, University of California at Berkeley
2:55 PM Multiway Component Analysis with Functional and Structural Constraints — Nathaniel Helwig, University of Minnesota
3:20 PM Novel Statistical Approaches for Mining Big Text Data — Ke Deng, Tsinghua University ; Jun Liu, Harvard University
3:35 PM Floor Discussion
 
 

267 * 		Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-340
Rethinking the Analysis of Modern Designed Experiments — Invited Papers
Section on Physical and Engineering Sciences , Quality and Productivity Section
Organizer(s): Byran Smucker, Miami University (Ohio)
Chair(s): Byran Smucker, Miami University (Ohio)
8:35 AM Analyzing Supersaturated Designs — Maria L. Weese, Miami University
9:00 AM Normal Plots of Effects: It's Time to Move On — Russell Lenth, University of Iowa
9:25 AM Analyzing Definitive Screening Designs Taking Advantage of Their Structure — Bradley Allen Jones, JMP Division/SAS
9:50 AM Discussant: Robert Mee, University of Tennessee
10:15 AM Floor Discussion
 
 

280 * ! 		Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-341
Climate Statistics: Studies on the Physics and Impacts of Climate Change Using Data Science — Topic Contributed Papers
Section on Physical and Engineering Sciences , Section on Statistics and the Environment , International Statistical Institute
Organizer(s): Ansu Chatterjee, University of Minnesota
Chair(s): Megan Heyman, Rose-Hulman Institute of Technology
8:35 AM Predicting the Next Decade — Timothy DelSole
8:55 AM Uncertainty Quantification for Remote Sensing Data — Amy Braverman, Jet Propulsion Laboratory ; Jonathan Hobbs, Jet Propulsion Laboratory
9:15 AM The Scale Enhanced Wild Bootstrap Method for Evaluating Climate Models Using Wavelets — Ansu Chatterjee, University of Minnesota ; Amy Braverman, Jet Propulsion Laboratory ; Megan Heyman, Rose-Hulman Institute of Technology ; Noel Cressie, University of Wollongong
9:35 AM Modeling Weather-Induced Home Insurance Risks with Support Vector Machine Regression — Vyacheslav Lyubchich, University of Maryland Center for Environmental Science ; Yulia R. Gel, University of Texas at Dallas ; Asim Kumer Dey, University of Texas at Dallas
9:55 AM Uncertainty Quantification for High-Resolution Hydrology Applications in the Western United States — Jonathan Hobbs, Jet Propulsion Laboratory ; Michael Turmon, Jet Propulsion Lab/Caltech ; J T Reager, Jet Propulsion Lab/Caltech ; Cedric David, Jet Propulsion Lab/Caltech ; James Famiglietti, Jet Propulsion Lab/Caltech
10:15 AM Floor Discussion
 
 

335 		Tue, 8/1/2017, 10:30 AM - 12:20 PM CC-326
SPEED: Reliable Statistical Learning and Data Science — Contributed Speed
Section on Statistical Learning and Data Science , Section on Physical and Engineering Sciences , International Statistical Institute
Chair(s): Jacob Bien, Cornell University
10:35 AM Estimating an Inverse Mean Subspace — Jiaying Weng ; Xiangrong Yin, University of Kentucky
10:40 AM Variable Selection on Functional Data Using Kernel Machine — Haoyu Wang, North Carolina State University
10:45 AM Expected Conditional HSIC for Testing Independence — Chenlu Ke ; Xiangrong Yin, University of Kentucky
10:50 AM Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application — Chongshu Chen, University of Rochester
10:55 AM Coefficient Estimation and Hypothesis Testing on Interval-Valued Data Regression by Measurement Error — Yaotong Cai, University of Georgia ; lynne Billard, University of Georgia
11:00 AM Quantifying Uncertainty in Latent Dirichlet Allocation — Christine Chai, Duke University
11:05 AM Learning from Imbalanced Data: a Review of Some Existing Methodologies — Josephine Akosa, Oklahoma State University ; Melinda McCann, Oklahoma State University
11:10 AM Tuning Variable Selection via Noise When Prediction Is Not the Primary Objective — Eric Reyes, Rose-Hulman Institute of Technology ; Xiaomo Wang, Rose-Hulman Institute of Technology
11:15 AM A Simulation Study to Evaluate Variable Importance Measures in Random and Conditional Inference Forests with Imputation for Data with Missing and Correlated Predictors — Hung-Wen Yeh ; Rayus Kuplicki, Laureate Institute for Brain Research ; Trang Le, University of Tulsa ; Martin P. Paulus, Laureate Institute for Brain Research
11:20 AM Sparse Network Tomography for Anomaly Detection — Elizabeth Hou, University of Michigan ; Yason Yilmaz, University of South Florida ; Alfred Hero, University of Michigan
11:30 AM High-Dimensional Discriminant Analysis for Spatially Correlated Data — Yingjie Li, Michigan State University ; Tapabrata Maiti, Michigan State University
11:40 AM Linear Combinations of Percentiles for Tests in the One Way Layout — Yvonne Zubovic, Indiana University Purdue University Fort Wayne
11:45 AM Multivariate Functional Data Clustering with Automatic Variable Selection — Zhongnan Jin ; Yili Hong, Virginia Tech ; Qingyu Yang, Department of Industrial and Systems Engineering Wayne State University
11:50 AM Robust Mode Detection Schemes in a Non-Stationary Environment — Francois Alastair Marshall, Queen's University
11:55 AM Statistical Challenges in Materials Mechanics: Microstructure to Performance — Scott Vander Wiel, Los Alamos National Laboratory
12:00 PM A New Multivariate Measure of Agreement in Method-Comparison Studies — Sasiprapa Hiriote, Department of Statistics, Faculty of Science, SILPAKORN UNIVERSITY ; Vernon M Chinchilli, Department of Public Health Sciences, Penn State Hershey College of Medicine
12:05 PM Using Bandit Algorithms on Changing Reward Rates — Jeffrey Roach, OpenMail
12:10 PM Supervised Binning Techniques for Predictive Modeling — Zhen Zhang, C Spire ; Lei Zhang, Mississippi State Dept. of Health ; James Veillette, C Spire ; Kendell Churchwell, C Spire
12:15 PM Floor Discussion
 
 

391 * ! 		Tue, 8/1/2017, 2:00 PM - 3:50 PM CC-336
Statistical Process Control for Complex Data Structures — Topic Contributed Papers
Quality and Productivity Section , Section on Physical and Engineering Sciences , Section on Statistical Learning and Data Science
Organizer(s): Emmanuel Yashchin, IBM Research
Chair(s): Emmanuel Yashchin, IBM Research
2:05 PM A Wavelet-Based Nonparametric CUSUM Control Chart for Autocorrelated Processes with Applications to Network Surveillance — Daniel Jeske, University of California, Riverside ; Jun Li, University of California, Riverside ; Yangmei Zhou, University of California, Riverside
2:25 PM Prognostics and Health Management for Rechargeable Batteries — Kwokleung Tsui, City University of Hong Kong
2:45 PM Social Media Monitoring: Monitoring Emotions Around the World to See What People React To — Ross Sparks, CSIRO
3:05 PM Discussant: William H Woodall, Virginia Tech
3:25 PM Floor Discussion
 
 

411 * 		Tue, 8/1/2017, 2:00 PM - 3:50 PM CC-322
Developments in the Construction of Experimental Designs — Contributed Papers
Section on Physical and Engineering Sciences , Quality and Productivity Section
Chair(s): Maria L. Weese, Miami University
2:05 PM Design of Order-Of-Addition Experiments Under the Pairwise-Order Framework — Jiayu Peng, Penn State University ; Dennis K.J. Lin, Penn State University
2:20 PM Designing for What's Important: a Comparison of Bayesian and General Weighted Optimality Criteria — Jonathan W. Stallings, North Carolina State University
2:35 PM Bayesian D-Optimal Screening Experiments with Partial Replication — David Edwards, Virginia Commonwealth University ; Robert Leonard, Miami University
2:50 PM Strategies for Mixture-Design Space Augmentation — Martin Bezener, Stat-Ease, Inc.
3:05 PM Locally D-Optimal Designs for Logistic Regression Models with Factorial Effects — Zhongshen Wang, Arizona State University ; John Stufken, Arizona State University
3:20 PM Robust Dose-Level Designs for Binary Responses — Wanchunzi Yu ; John Stufken, Arizona State University
3:35 PM Floor Discussion
 
 

425 		Tue, 8/1/2017, 3:05 PM - 3:50 PM CC-Halls A&B
SPEED: Reliable Statistical Learning and Data Science — Contributed Poster Presentations
Section on Statistical Learning and Data Science , Section on Physical and Engineering Sciences , International Statistical Institute
Chair(s): Jessi Cisewski, Yale University
20: Estimating an Inverse Mean Subspace — Jiaying Weng ; Xiangrong Yin, University of Kentucky
21: Variable Selection on Functional Data Using Kernel Machine — Haoyu Wang, North Carolina State University
22: Expected Conditional HSIC for Testing Independence — Chenlu Ke ; Xiangrong Yin, University of Kentucky
23: Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application — Chongshu Chen, University of Rochester
24: Coefficient Estimation and Hypothesis Testing on Interval-Valued Data Regression by Measurement Error — Yaotong Cai, University of Georgia ; lynne Billard, University of Georgia
25: Quantifying Uncertainty in Latent Dirichlet Allocation — Christine Chai, Duke University
26: Learning from Imbalanced Data: a Review of Some Existing Methodologies — Josephine Akosa, Oklahoma State University ; Melinda McCann, Oklahoma State University
27: Tuning Variable Selection via Noise When Prediction Is Not the Primary Objective — Eric Reyes, Rose-Hulman Institute of Technology ; Xiaomo Wang, Rose-Hulman Institute of Technology
28: A Simulation Study to Evaluate Variable Importance Measures in Random and Conditional Inference Forests with Imputation for Data with Missing and Correlated Predictors — Hung-Wen Yeh ; Rayus Kuplicki, Laureate Institute for Brain Research ; Trang Le, University of Tulsa ; Martin P. Paulus, Laureate Institute for Brain Research
29: Sparse Network Tomography for Anomaly Detection — Elizabeth Hou, University of Michigan ; Yason Yilmaz, University of South Florida ; Alfred Hero, University of Michigan
30: High-Dimensional Discriminant Analysis for Spatially Correlated Data — Yingjie Li, Michigan State University ; Tapabrata Maiti, Michigan State University
32: Linear Combinations of Percentiles for Tests in the One Way Layout — Yvonne Zubovic, Indiana University Purdue University Fort Wayne
33: Multivariate Functional Data Clustering with Automatic Variable Selection — Zhongnan Jin ; Yili Hong, Virginia Tech ; Qingyu Yang, Department of Industrial and Systems Engineering Wayne State University
34: Robust Mode Detection Schemes in a Non-Stationary Environment — Francois Alastair Marshall, Queen's University
35: Statistical Challenges in Materials Mechanics: Microstructure to Performance — Scott Vander Wiel, Los Alamos National Laboratory
36: A New Multivariate Measure of Agreement in Method-Comparison Studies — Sasiprapa Hiriote, Department of Statistics, Faculty of Science, SILPAKORN UNIVERSITY ; Vernon M Chinchilli, Department of Public Health Sciences, Penn State Hershey College of Medicine
37: Using Bandit Algorithms on Changing Reward Rates — Jeffrey Roach, OpenMail
38: Supervised Binning Techniques for Predictive Modeling — Zhen Zhang, C Spire ; Lei Zhang, Mississippi State Dept. of Health ; James Veillette, C Spire ; Kendell Churchwell, C Spire
The Speed portion will take place during Session 214539
 
 

214981 		Tue, 8/1/2017, 5:30 PM - 6:30 PM H-Key Ballroom 7
SPES/Q&P Business Meeting — Other Cmte/Business
Section on Physical and Engineering Sciences , Quality and Productivity Section
Chair(s): Ming Li, Amazon and TAMU - Commerce, James Wendelberger, Los Alamos National Laboratory and University of New Mexico
 
 

214730 		Tue, 8/1/2017, 6:30 PM - 8:30 PM H-Key Ballroom 7
Joint Section Mixer - SPES, Q&P, Statistical Consulting, Statistics in Defense and National Security — Other Cmte/Business
Section on Physical and Engineering Sciences , Quality and Productivity Section , Section on Statistical Consulting , Section on Statistics in Defense and National Security
Chair(s): Laura Freeman, IDA, Charles Kincaid, Experis, Ming Li, Amazon and TAMU - Commerce, James Wendelberger, Los Alamos National Laboratory and University of New Mexico
 
 

439 * ! 		Wed, 8/2/2017, 8:30 AM - 10:20 AM CC-329
Scan Statistics in Networks and Graphs — Invited Papers
Section on Statistics in Defense and National Security , Section on Statistics in Epidemiology , Section on Physical and Engineering Sciences
Organizer(s): Joseph Naus, Rutgers University
Chair(s): Joseph Naus, Rutgers University
8:35 AM Network Matched Filters — Vince Lyzinski, Johns Hopkins University ; Sussman L Daniel, Boston University ; Carey E Priebe, Johns Hopkins University
9:00 AM Efficient Pattern Detection in Web-Scale Graphs by Subcore-Tree Decomposition and Subset Scanning — Daniel Bertrand Neill, Carnegie Mellon University ; Chunpai Wang, University at Albany ; Feng Chen, University at Albany ; Daniel Hono, University at Albany
9:25 AM Detecting Cut Constrained Patterns in Networks — James Sharpnack, UC Davis Statistics
9:50 AM Discussant: Nancy Ruonan Zhang, Wharton School , University of Pennsylvania
10:15 AM Floor Discussion
 
 

452 * ! 		Wed, 8/2/2017, 8:30 AM - 10:20 AM CC-349
Methodological and Computational Advances in Bayesian Design for Scientific and Industrial Experimentation — Topic Contributed Papers
Section on Bayesian Statistical Science , Section on Physical and Engineering Sciences
Organizer(s): Dave Woods, University of Southampton
Chair(s): Dave Woods, University of Southampton
8:35 AM Bayesian A-Optimal Design of Experiment with Quantitative and Qualitative Responses — Lulu Kang, Illinois Institute of Technology-Department of Applied Mathematics
8:55 AM Designing Computer Experiments to Maximize Prediction Accuracy — Erin Leatherman, West Virginia University ; Angela Dean, The Ohio State University ; Thomas Santner, The Ohio State University
9:15 AM Sequential Optimal Experimental Design Using Adaptive Transport Maps — Xun Huan, Sandia National Laboratories ; Youssef Marzouk, Massachusetts Institute of Technology
9:35 AM Discussant: Max D. Morris, Iowa State University
9:55 AM Floor Discussion
 
 

487 * 		Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-326
Design and Analysis of Computer Experiments for Complex Systems — Invited Papers
Section on Physical and Engineering Sciences , Section on Statistical Computing , IMS
Organizer(s): Ying Hung
Chair(s): Ying Hung
10:35 AM Replication or exploration? Sequential design for stochastic simulation experiments. — Robert Gramacy, Virginia Tech Department of Statistics ; Bickael Binois, The University of Chicago ; Mike Ludkovski, University of California, Santa Barbara
11:00 AM Analysis of dimension reduction in Gaussian process regression — Minyong Lee, Stanford University ; Art Owen, Stanford University
11:25 AM Stabilizing Gradient Enhanced Emulators with Sparsity Constraints — Peter Qian, University of Wisconsin-Madison ; Jared Huling, University of Wisconsin-Madison
11:50 AM Sequential learning of deformation models in additive manufacturing through calibration of simulation models — Tirthankar Dasgupta, Rutgers University ; Ying Hung
12:15 PM Floor Discussion
 
 

522 		Wed, 8/2/2017, 10:30 AM - 12:20 PM CC-Halls A&B
Contributed Poster Presentations: Section on Physical and Engineering Sciences — Contributed Poster Presentations
Section on Physical and Engineering Sciences
Chair(s): Jessi Cisewski, Yale University
32: Finite Population Agresti-Coull Based Binomial Confidence Intervals and Excel VBA Function — William Harper, Otterbein University
33: From "faster is slower" to "faster is faster" — Guillermo Frank, CONICET and FCEyN-UBA. ; Ignacio Sticco, Departamento de Física. FCEyN, UBA. ; Fernando Cornes, Departamento de Física. FCEyN, UBA. ; Claudio Dorso, Departamento de Física. FCEyN, UBA.
34: Mixed Eff ects Material Strength Models with Model Discrepancy — Jason Bernstein ; Kathleeen Schmidt, Lawrence Livermore National Laboratory ; Ana Kupresanin, Lawrence Livermore National Laboratory ; Jeff Florando, Lawrence Livermore National Laboratory ; Nathan Barton, Lawrence Livermore National Laboratory
35: Reliability Assessment of Multiple Component Systems Using Bayesian Hierarchical Models — James Gilman, NC State University ; Alyson Wilson, North Carolina State University ; Kassie Fronczyk, Institute for Defense Analyses
36: Comparing Treatments When Data Points Are Empirical Distribution Functions — Scott Richter, University of North Carolina At Greensboro ; Melinda McCann, Oklahoma State University
37: Calibration, Uncertainty Quantification, and Propagation for Large Scale Systems — K. Bhat, Los Alamos National Laboratory
38: Estimation of Component's Reliability for Masked Data Complex Systems — Agatha Rodrigues ; Adriano Polpo, Universidade Federal de São Carlos ; Carlos Alberto de Bragança Pereira, Universidade de São Paulo
39: Dynamic Linear Model Forecasts for Wind Direction and Speed — Patrick Edmonds, Iowa State University ; Cindy L Yu, Iowa State University
40: More Powerful Tests For Simple-Order Testing Problem With Scale Paremeters In Gamma Distributions — Huimei Liu, National Chengchi University ; Roger Berger, Arizona State University ; Chia-Hao Chan
 
 

Register 540 		Wed, 8/2/2017, 12:30 PM - 1:50 PM CC-Ballroom II
Section on Physical and Engineering Sciences P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Physical and Engineering Sciences
Organizer(s): Yili Hong, Virginia Tech
WL19: Statistical Challenges and Opportunities with Remote Sensing Data — Jonathan Hobbs, Jet Propulsion Laboratory
 
 

571 * ! 		Wed, 8/2/2017, 2:00 PM - 3:50 PM CC-336
Statistics for Computer Experiments: Collaboration Between Industry and Academia — Topic Contributed Papers
Section on Physical and Engineering Sciences
Organizer(s): QIONG ZHANG, Virginia Commonwealth University
Chair(s): David Edwards, Virginia Commonwealth University
2:05 PM Exact Knowledge Gradient for Stochastic Computer Model Assisted Optimal Decision Making — QIONG ZHANG, Virginia Commonwealth University ; Youngdeok Hwang , IBM Thomas J. Watson Research Center
2:25 PM Predicting Solar Irradiance as a Function of Location and Time: Multiple Model Calibration, Non-Stationarity, and Non-Space-Filling Design — Benjamin Haaland, Georgia Institute of Technology
2:45 PM Model Calibration with Censored Data — Shan Ba, Procter & Gamble Company ; Fang Cao, Georgia Institute of Technology ; William Brenneman, The Procter & Gamble Company ; Roshan Joseph Vengazhiyil, Georgia Institute of Technology
3:05 PM Bayesian Pollution Source Identification via an Inverse Physics Model — Youngdeok Hwang , IBM Thomas J. Watson Research Center ; Hang Kim, University of Cincinnati ; Kyongmin Yeo, IBM RESEARCH
3:25 PM Discussant: William Myers, The Procter & Gamble Company
3:45 PM Floor Discussion
 
 

628 * 		Thu, 8/3/2017, 8:30 AM - 10:20 AM CC-320
Statistical Applications in the Physical Sciences — Contributed Papers
Section on Physical and Engineering Sciences
Chair(s): Anirban Mondal, Case Western Reserve University
8:35 AM Neutron Multiplicity: LANL W Covariance Matrix for Curve Fitting — James Wendelberger, Los Alamos National Laboratory and University of New Mexico
8:50 AM Spatio-Temporal Multitaper Spectrum Estimation — Christopher Geoga, Argonne National Laboratory ; Charlotte Haley, Argonne National Laboratory ; Mihai Anitescu, Argonne National Laboratory
9:05 AM Combining Subsystem and Full System Data with Application to Cold-Formed Steel Shear Wall — Guanbo Bian, Johns Hopkins University ; Long Wang, Johns Hopkins University ; Benjamin Schafer, Johns Hopkins University ; James C Spall, Applied Physics Laboratory
9:20 AM Optimal Positioning of Mobile Radiation Sensors Using Mutual Information — Kathleeen Schmidt, Lawrence Livermore National Laboratory ; Ralph Smith, North Carolina State University ; Jason HIte, North Carolina State University ; John Mattingly, North Carolina State University
9:35 AM Time Series Smoother for Effect Detection — Cheng You, Pennsylvania State University ; Dennis K.J. Lin, Penn State University ; Sidney Stanley Young, CGStat
9:50 AM Detection and Estimation of Oscillatory Components in Power Networks — Charlotte Haley, Argonne National Laboratory ; Christopher Geoga, Argonne National Laboratory ; Mihai Anitescu, Argonne National Laboratory
10:05 AM Selecting Basis Quantities for Dimensional Analysis: a Data-Driven Approach — Ching-Chi Yang, Penn State ; Dennis K.J. Lin, Penn State University
 
 
 
 
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