Information détaillée concernant le cours
| Titre | Introduction to Bayesian Statistics and Modelling |
| Dates | 4th & 11th October 2024, 9:00-18:00 |
| Organisateur(s)/trice(s) | |
| Intervenant-e-s | Dr Michaël Papinutto |
| Description | This two-day course on Bayesian Statistics offers a comprehensive exploration of both theoretical framework and computational methods in Bayesian statistics. Starting with an historical overview of inferential statistics, contrasting the Bayesian and Frequentist paradigms, participants will recap frequentist statistics and delve gently into Bayesian concepts, including Bayes' Theorem, probability distributions, and Bayes Factors. Hands-on sessions with JASP and using Python with the PyMC library will facilitate the understanding and application of Bayesian inference. Finally, more advanced topics will be covered, enabling students to gain a deeper knowledge of the Bayesian framework through probabilistic programming, thus becoming autonomous in their approach to Bayesian inference and modelling. |
| Lieu |
Online |
| Information | |
| Places | 20 |
| Délai d'inscription | 02.10.2024 |
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