BIDSA Hybrid Seminar 2021: Haavard Rue, King Abdullah University of Science and Technology
BIDSA is pleased to invite you to the workshop "Giornata Teorica", organized by Luca Trevisan and Alon Rosen. The event will take place in hybrid form on Monday December 13th and will include talks and presentations from several speakers. Read more to find out the full programme.
The 2021 edition of Junior Bayes Beyond the Borders (JB^3) is an online seminar series jointly organized by the BayesLab at Bocconi University and j-ISBA, the junior section of the International Society for Bayesian Analysis (ISBA). This year the series will feature talks by the winners of the Blackwell-Rosenbluth Award by j-ISBA.
Tommaso Rigon, Bocconi PhD in Statistics alumnus, received the Savage Award 2020 in Theory & Methods for his PhD dissertation, Finite-dimensional nonparametric priors: Theory and applications.
Irrigation agriculture plays a major role in global food security: it currently produces about 40% of all food consumed worldwide in just 20% of the total cultivated land. The water demand for irrigation agriculture has been constantly rising over the last decades, and it is expected to increase even further due to changes in precipitation patterns, higher temperatures and the expansion of irrigated areas to meet the soaring food demand.
Triggered by a challenging biological problem, Hugo Lavenant, Assistant Professor at Department of Decision Sciences and BIDSA Affiliate, has developed innovative mathematical models for stem cell differentiation.
Founded in 1992, ISBA approaches its 30th anniversary. Over these years, it has promoted the development and application of Bayesian statistics. This approach to modeling and prediction is based on the celebrated theorem by Thomas Bayes, where available knowledge about the parameters in a probabilistic model is updated with the information contained in the data.
The Assistant Professor has been awarded for the first edition of the prize assigned to early-career scholars, under the age of 40, for the contributions to the Statistical Sciences.