Here we are in the middle of the summer. The humidity is reaching peak levels. Offices are vacant as people venture out for their much awaited vacations. And as hard it is for me to believe, JSM (Joint Statistical Meetings) 2014 is right around the corner.
I am really looking forward to so much about JSM this year, not the least of which is all the restaurants I plan to go to in Boston, which merits its own post. After spending many happy hours perusing the JSM Online Program, I have found several sessions I am really excited about. Here are a few of my picks for JSM 2014. It should be said that I am really interested in Networks and Statistical Education which will be reflected in my picks below:
Sunday August 3rd
- 2:00-3:50 Technology’s Impact on Statistics Education: Past, Present, and Future
- 2:00-3:50 Bayesian Modelling in the Social Sciences
- 4:00-5:50 Applications of Stochastic Blockmodels to Network Analysis
- 4:00-5:50 New Approaches to Data Exploration and Discovery
Monday August 4th
- 8:30-10:20 Building Precursors to Big Data: Teaching Undergraduate Data Science Early and Often
- 8:30-10:20 Graphical Models and Their Applications in Health Studies
- 8:30-10:20 Causal Inference in Novel High-Dimensional Settings
- 8:30-10:20 Network Data
- 8:30-10:20 Nonresponse Adjustment
- 10:30-12:20 Spatial Analysis
- 10:30-12:20 Statistical Modeling, Missing Data, and Observational Studies
- 2:00-3:50 HPSS Student Paper Competition Winners Presentation
Tuesday August 5th
- 10:30-12:20 Classroom Activities and Capstone Projects
- 2:00-3:50 Forecasting and Inference
Wednesday August 6th
- 10:30-12:20 Preparing Students for the Future: Teaching Data Science at the Undergraduate Level
- 2:00-3:50 Interesting Implementations of Network Sampling and Bayesian Regression
Thursday August 7th
Miles Ott 