The Space-Time Reading Group meets weekly to discuss current research in spatiotemporal statistics and related fields.
In Spring 2019, we are discussing spatial models motivated by physical processes. In particular, this includes the use of stochastic partial differential equations and dynamical models to design statistical models of spatial processes (as in Lindgren, Rue, and Lindström (2011)).
Meetings are on Mondays from 1:30pm - 2:30pm in the CSSS conference room (Padelford C14A). Light refreshment will be provided.This year, Space-Time Reading Group is jointly organized by John Best and Peter Gao. To receive updates about meetings and other upcoming events, please sign up for the listhost.
Spring 2019 Schedule
|4/15||Max Schneider||Presenting uncertainty in data visualizations|
|4/22||Max Schneider, John Paige, and John Best||Speed talks|
|4/29||John Best||"Stochastic partial differential equation based modelling of large space–time data sets," Sigrist, Künsch, and Stahel (2014).|
|5/6||Peter Gao||"Spatial modeling of significant wave height using stochastic partial differential equations," Hildeman, Bolin, and Rychlik (2019).|
|5/13||Helen Deweese||Accurately estimating point-based hydrological information using spatial interpolation methods|
|5/20||To be announced||To be announced|
|5/27||Meeting canceled (Memorial Day)|
|6/3||To be announced||To be announced|
- Spatial and Spatio-temporal Bayesian models with R-INLA by Marta Blangiardo and Michela Cameletti (Website)
- SPDE/INLA Workshop by RESSTE/EcoStat (Website)