Frontiers of Bayesian Inference and Data Science (24w5196)

The Casa Matemática Oaxaca (CMO) will host the "Frontiers of Bayesian Inference and Data Science" workshop in Oaxaca, from September 1 to September 6, 2024.

Data science in general and Bayesian statistical inference in particular has become a key tool for the industry and research institutions during the last 30 years. Computational advances have allowed for the application of the Bayesian framework for data analysis in a plethora of real world problems; from helping to locate aircraft wreckage to the daily use for updating web-pages to maximize user engagement. That's why BIRS is conducting a 5 day workshop on "Frontiers of Bayesian Inference and Data Science".

The workshop will focus on junior career researchers while also including senior researcher from all stages to present overview talks on current research frontier topics, conduct a mentoring panel for young researchers and a session on data science (DS) education where the need and experience on developing DS academical degrees will be discussed. Exciting topics on Bayesian inference and data science such as generalized Bayesian procedures, reinforcement learning, likelihood-free and non-parametric methods, breakthrough applications and more will be presented.

The Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, are collaborative Canada-US-Mexico ventures that provide an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station in Banff is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT). The research station in Oaxaca is funded by CONACYT