Marcin Jurek
Department of Statistics and Data Sciences
University of Texas at Austin
Gaussian processes as a tool to represent complex phenomena
Methods based on Gaussian processes are emerging as some of the most important and versatile tools in statistics these days but in the past, their wider application was hampered by poor scalability. In this talk, we will discuss a specific approximation algorithm and describe in detail its construction and properties. We will then show that it is particularly well suited to spatio-temporal problems as well as data assimilation and explain how it can be used in this context. We will also illustrate that the proposed methods can be used in a wide variety of fields, ranging from atmospheric sciences to studying human mobility.
DATE: Thursday, 1/19/23
TIME: 3:30 PM
PLACE: AUST 105
Webex link: https://uconn-cmr.webex.com/uconn-cmr/j.php?MTID=m4b422f1f8ecbdd1a9f16130ebf2bc823
Coffee will be served at 3:00 pm in the Noether Lounge (AUST 326)
For more information, contact: Tracy Burke at tracy.burke@uconn.edu