Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme
Activity Details
70 *
Sun, 7/28/2019,
4:00 PM -
5:50 PM
CC-703
Science of Test and Advancements in Reliability Modeling — Topic Contributed Panel
Section on Statistics in Defense and National Security , Government Statistics Section, Committee on Applied Statisticians
Organizer(s): Raymond Hill, Air Force Instittute of Technology
Chair(s): Laura Freeman
4:05 PM
Science of Test and Advancements in Statistics and Reliability Modeling
Presentation 1
Presentation 2
Presentation 3
Presentation 4
Presentation 5
Panelists:
Raymond Hill, Air Force Instittute of Technology
Douglas Montgomery, ASU
G. Geoff Vining, Va Tech
Eric Chicken, Florida State University
Susan Sanchez, Naval Postgraduate School
5:40 PM
Floor Discussion
109 * !
Mon, 7/29/2019,
8:30 AM -
10:20 AM
CC-703
Maximizing the Impact of Statistical Collaboration — Invited Papers
Section on Statistical Consulting , Committee on Applied Statisticians
Organizer(s): Eric Vance, LISA-University of Colorado Boulder
Chair(s): Amanda Koepke, National Institute of Standards and Technology
8:35 AM
Essential Technical Skills for Collaborative Statisticians and Data Scientists
Presentation
Brian Zaharatos; Zachary Mullen, University of Colorado Boulder
9:00 AM
Essential Professional Skills for Collaborative Statisticians and Data Scientists
Presentation
Heather S Smith, Cal Poly, San Luis Obispo
9:25 AM
How Stat Labs Can Transform Evidence to Action for Maximum Impact
Presentation
Eric Vance, LISA-University of Colorado Boulder
9:50 AM
Discussant: David Morganstein, Westat
10:10 AM
Floor Discussion
119 * !
Mon, 7/29/2019,
8:30 AM -
10:20 AM
CC-506
Statistical Data Editing Modernisation — Topic Contributed Papers
Government Statistics Section , Survey Research Methods Section, Committee on Applied Statisticians
Organizer(s): Katie Davies, Office for National Statistics
Chair(s): Charlotte Gaughan, Office for National Statistics
8:35 AM
A Generalized Framework to Evaluate Imputation Strategies: Recent Developments
Presentation
Darren Gray, Statistics Canada
8:55 AM
Evaluating Imputation Methods for the Agricultural Resource Management Survey
Darcy Miller, National Agricultural Statistics Service ; Andrew Dau, National Agricultural Statistics Service; Audra Zakzeski, National Agricultural Statistics Service
9:15 AM
Improving Edit and Imputation Strategies Through Feature Selection
Presentation
Andrew Stelmack, Statistics Canada
9:35 AM
Improving Efficiency of Imputation Using Machine Learning
Presentation
Katie Davies, Office for National Statistics ; Vinayak Anand-Kumar, Office for National Statistics
9:55 AM
Incorporating Administrative Data into Population Census 2020
Presentation 1
Presentation 2
Jeslyn Tan, Ministry of Manpower ; Jeremy Heng, Ministry of Manpower
10:15 AM
Floor Discussion
120 * !
Mon, 7/29/2019,
8:30 AM -
10:20 AM
CC-712
Learn Something New: Techniques for Broadening Your Statistical Skillset — Topic Contributed Papers
Committee on Applied Statisticians , Section on Statistical Consulting, Section on Statistical Computing
Organizer(s): Lauren Hund, Sandia National Laboratories
Chair(s): Adah Zhang, Sandia National Laboratories
8:35 AM
Statistical Thinking and Analysis for Large and Complex Data
Presentation
Joanne Wendelberger, Los Alamos National Laboratory
8:55 AM
Sharpening the Tools in Your Data Science Toolbox
Presentation
Jessica Minnier, Oregon Health & Science University
9:15 AM
What's Your Point? Flipping the Paradigm for Communication in Statistical Science
Elizabeth Mannshardt, US Environmental Protection Agency
9:35 AM
Lessons Learned from Collecting and Analyzing High-Dimensional GPS Data on Adolescent Activity Patterns
Catherine A. Calder, The Ohio State University ; Christopher R. Browning, The Ohio State University; Bethany Boettner, The Ohio State University; Kori Khan, The Ohio State University
9:55 AM
Discussant: Gabriel Huerta, University of New Mexico
10:15 AM
Floor Discussion
221 * !
Mon, 7/29/2019,
2:00 PM -
3:50 PM
CC-112
Statistics in Marketing and Advertising: Saying it with Integrity, Accuracy, and Impact — Invited Papers
Section on Statistics in Marketing , Section on Statistical Consulting, Committee on Applied Statisticians
Organizer(s): Suddhasatta Acharyya, Daiichi Sankyo Inc.
Chair(s): Amit Bhattacharyya, Alexion Pharmaceuticals
2:05 PM
Measuring the Causal Effects of Digital Advertising
Ziggy Lin, Facebook
2:35 PM
Improved Estimation of View Through Lift from Randomized A/B Tests
Kingshuk Roy Choudhury, Amazon ; Anuvrat Singh, Amazon
3:05 PM
Discussant: Suddhasatta Acharyya, Daiichi Sankyo Inc.
3:35 PM
Floor Discussion
324 *
Tue, 7/30/2019,
10:30 AM -
12:20 PM
CC-205
The Juggling Collaborative Statistician: Which Balls to Drop? — Invited Panel
Section on Statistical Consulting , Committee on Applied Statisticians, Biometrics Section, Korean International Statistical Society
Organizer(s): Julia L Sharp, Colorado State University
Chair(s): Mary J Kwasny, Northwestern University
10:35 AM
The Juggling Collaborative Statistician: Which Balls to Drop?
Presentation 1
Presentation 2
Panelists:
Alexandra Hanlon, University of Pennsylvania
Emily Griffith, North Carolina State University
Ji-Hyun Lee, University of Florida
Julia L Sharp, Colorado State University
Jungwha Julia Lee, Northwestern University
Mimi Kim, Albert Einstein College of Medicine
12:15 PM
Floor Discussion
399 * !
Tue, 7/30/2019,
2:00 PM -
3:50 PM
CC-503
Statistical Collaboration at All Levels: Challenges, Implementation, and Rewards — Topic Contributed Panel
Section on Statistical Consulting , Committee on Applied Statisticians, Committee on Career Development
Organizer(s): Shelley Hurwitz, Harvard Medical School
Chair(s): Alicia Carriquiry, Iowa State University
2:05 PM
Statistical Collaboration at All Levels: Challenges, Implementation, and Rewards
Panelists:
Amit Bhattacharyya, Alexion Pharmaceuticals
Edward Mulrow, NORC at the University of Chicago
Frank Bretz, Novartis Pharma AG
Shari Medendorp, Premier Research
William (Bill) Wang, Merck Research Lab
3:45 PM
Floor Discussion
566 * !
Wed, 7/31/2019,
2:00 PM -
3:50 PM
CC-101
Analytics in Insurance Operations: Novel Statistical Methods and Applications — Topic Contributed Papers
Casualty Actuarial Society , Committee on Applied Statisticians, Business and Economic Statistics Section
Organizer(s): Peng Shi, University of Wisconsin-Madison
Chair(s): Peng Shi, University of Wisconsin-Madison
2:05 PM
Incorporating Frequency-Severity Dependence into Collective Risk Models
Presentation
Zifeng Zhao, University of Notre Dame ; Peng Shi, University of Wisconsin-Madison
2:25 PM
Loss Reserving Models for the Unearned Premium Risk
Presentation
Mathieu Pigeon, UQAM ; Jean-Philippe Boucher, UQAM; Sebastien Jessup, UQAM
2:45 PM
Multi-Peril Ratemaking for Property Insurance Using Longitudinal Data
Presentation
Lu Yang, University of Amsterdam ; Peng Shi, University of Wisconsin-Madison
3:05 PM
Deductible Ratemaking and Related Issues
Presentation
Gee Lee, Michigan State University
3:25 PM
A New Perspective from a Dirichlet Model for Insurance Loss Reserving
Karthik Sriram, Indian Institute of Management Ahmedabad
3:45 PM
Floor Discussion
568 * !
Wed, 7/31/2019,
2:00 PM -
3:50 PM
CC-703
Experimentation at Scale: Current Challenges in A/B Testing — Topic Contributed Panel
Section on Statistics in Marketing , Section on Statistical Learning and Data Science, Committee on Applied Statisticians
Organizer(s): Martin Tingley, Netflix
Chair(s): Dean Eckles, MIT
2:05 PM
Experimentation at Scale: Current Challenges in A/B Testing
Presentation
Panelists:
David Afshartous, Amazon
Eytan Bakshy, Facebook
Kathy Zhong, Google
Martin Tingley, Netflix
3:40 PM
Floor Discussion
602 * !
Thu, 8/1/2019,
8:30 AM -
10:20 AM
CC-201
Game Analytics: How Data Science Transforms the Game Industry — Topic Contributed Papers
Section on Statistical Learning and Data Science , Section on Statistics in Marketing, Committee on Applied Statisticians, Business Analytics/Statistics Education Interest Group
Organizer(s): Qiaolin Chen, Tencent
Chair(s): Dong Xi, Novartis
8:35 AM
Machine Learning and Big Data Analytics at Tencent Games
Qiaolin Chen ; Xu Cheng, Tencent; Jiachun Du, Tencent; Botao Li, Tencent; Zeng Zhao, Tencent
8:55 AM
Combining Advanced Statistics and Machine Learning to Improve Games at Ubisoft
Presentation
Antoine Rebecq; Jean-Michel Daignan, Ubisoft
9:15 AM
Product Diffusion on a Dynamic Matching Platform: The Case of a MMOG
Chenyu Yang, University of Rochester
9:35 AM
Online Skill Rating Algorithms
Nicolas Grenon-Godbout ; Jonathan Dumas , Ubisoft; Simon Fontaine, Ubisoft; Gabrielle Rit, Ubisoft; Timothy Park, Ubisoft
9:55 AM
Discussant: Xiaoyang Yang, Riot Games
10:15 AM
Floor Discussion