(This article was originally published at Statistics – The stupidest thing…, and syndicated at StatsBlogs.)
The Joint Statistical Meetings are in Chicago next week. I thought I’d write down the set of sessions that I plan to attend. Please let me know if you have further suggestions.
First things first: snacks. Search the program for “spotlight” or “while supplies last” for the free snacks being offered. Or go to the page with the full list.
Sunday
- (2:00 – 3:50) Open source statistical software for data science
- Skipper Seabold on Software Engineering
- Jake VanderPlas on Python
- Doug Bates on Julia
- Dirk Eddelbuettel on Rcpp
- Michael Kane on Grammars & structures in R, Python, and Julia
- (4:00-5:50) Hard choice:
- Sequencing association studies and rare-variant analysis for complex traits with Gonçalo Abecasis, Xihong Lin, Seunggeun Lee, Iuliana Ionita-Laza
- Extraordinary impact of statistics, with David Siegmund, Heike Hofmann, and Sally Morton
- Precision medicine with Kim-Anh Do, Hongzhe Li, and Li Hsu (and with Bhramar Mukherjee as discussant)
- Media and statistics with Howard Wainer, Barry Nussbaum, Julie Rehmeyer, and Don Berry (and Andrew Gelman as discussant)
- Information visualization with Jorge Poco, Anushka Anand, Zan Armstrong, Zhicheng Liu, and Gordon Kindlmann (organized by Yihui Xie)
- (6:00 – 8:00) Opening Mixer & Invited posters (featuring Garrentt Grolemund, Tian Zheng, Liz Sweeney, David Robinson, Hilary Parker, Alyssa Frazee, and Jeff Leek)
Monday
- (8:30-10:20) Applied data visualization (organized by Hilary Parker)
- Hadley Wickham on Linked brushing in R
- Andreas Gros on Data vis at Facebook
- Lynn Cherny on Cocktail party horror stories about data vis for clients
- Andrei Scheinkman on Data vis at 538
- Jeff Leek on Teaching data vis to 100k data scientists
Also of interest: Introductory Overview on Causal Inference by Judea Pearl
- (10:30 – 12:20) Statistics in genomics and genetics
- John Storey on latent variable methods
- Rafael Irizarry on overcoming bias and batch effects in RNA-seq data
- Kathryn Roeder on testing high-dim differential matrices
- Michael Newton on Graph-restricted mixture models
- (4:45-6:15) ASA President’s invited address: Joe Palca (NPR) on Science and news: A marriage of convenience
Tuesday
- (8:30 – 10:20) Hard choice:
- Statistical genetics for large-scale genomic data with Mary Sara McPeek, Timothy Thornton, Michael Epstein, and Michael Wu
- Intro Overview on Data science with Philip Yu and Michael Jordon
- Microbiome data analysis with Xiang Zhan, Pixu Shi, Georg Gerber, Hyunwook Koh, and Richard Bonneau
- (10:30-12:20) Hard choice:
- Data journalism and statistical expertise with Regina Nuzzo, Alberto Cairo, Mark Hansen, Carl Bialik, and Katherine Hobson
- Data in and outside the undergrad classroom with Ani Adhikari, Mark Daniel Ward, Robert Gould, and Colin Rundel (organized by Mine Cetinkaya-Rundel)
- (2:05-3:50) Hard choice:
- Single-cell RNA-seq with Raphael Gottardo, John Marioni, Rahul Satija, and Stephanie Hicks (organized by Rafael Irizarry)
- The 3d Genome with Mark Segal, Zhaohui Qin, Zheng Xu, and Deepak Nag Ayyala (organized by Shili Lin)
- Interactive visualizations with Vincent Nijs, Ryan Hafen, Joseph Cheng, John Muschelli, Carson Sievert, and Yihui Xie (organized by Ramnath Vaidyanathan
- Integrative data analyses with Sunduz Keles, Yuan Jiang, Yongdai Kim, and Jun Xie
- (8:00-9:30) ASA President’s Address: Jessica Utts on Appreciating statistics
Wednesday
- (8:30 – 10:20) Reproducibility in statistics and data science
- Jenny Bryan
- me
- Karthik Ram
- Mine Cetinkaya-Rundel
- Yihui Xie (discussant)
- (10:35 – 12:20) 2016 Statistical computing and graphics award honors William S. Cleveland with Nicholas Fisher, Dianne Cook, Luke-Jon Tierney, Steve Scott, and Jim Harner
- (2:05 – 3:50) Hard choice:
- Batch effects in genomics data with Claire Ruberman, Jingshu Wang, Jennifer Listgarten, Davide Risso, and Florian Buettner
- Genomics and epigenomics data with Ker-Chau Li, Yuping Zhang, Hongkai Ji, Guo-Cheng Yuan, and Hao Wu
- When the plot is not the end: computing and reasoning on data visualizations with Barrett Schloerke, Haley Jeppson, Gabriel Becker, and Hector Corrada Bravo
- (4:45-6:15) Fisher Lecture: Alice Whittemore on Personalizing disease prevention
Thursday
- (8:35 – 10:20) Julia for modern statistical computing with Josh Day, John Myles White, Stefan Karpinski, and Jiahao Chen (and Doug Bates as discussant)
- (10:35-12:20) Showcasing statistics and public policy with Andrew Gelman, Peter Imrey, and J. R. Lockwood (and David Banks as discussant)
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