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X-WR-CALDESC:Eventos para Instituto de Astrofísica de Andalucía
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SUMMARY:Academic Spanish Course for Foreigners (2025)
DESCRIPTION:The Academic Spanish course for foreigners is designed to facilitate effective communication in academic and profesional contexts. Through a practical and personalized focus\, the participants will develop essential linguistic abilities to discuss scientific articles\, participate in conferences\, give presentations\, and collaborate in international projects. The program includes technical vocabulary\, beginner and advanced grammar\, and simulations of real-life situations. Moreover\, it will promote the cultural immersion to strengthen the comprehension of the Hispanic world\, and their impact on interdisciplinary investigation and collaboration. \nThis course will be taught throughout in the following blocks: \nJanuary 21st – February 27thApril 22nd – May 29thSeptember 23rd – October 30thThe course is taught by Prof. Nazira Ruíz
URL:https://www.iaa.csic.es/evento/academic-spanish-course-for-foreigners-2025/
LOCATION:IAA – CSIC\, Glorieta de la Astronomía\, Granada\, España
CATEGORIES:SO Training
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SUMMARY:SO-IAA School on Bayesian Statistics
DESCRIPTION:During five half days the school will cover topics from the basics of Bayesian inference over model fitting\, computational methods to simulations. \nPractical exercises will be combined with the theoretical lectures \nThe agenda will include: \n\nBasics of Bayesian Inference. A quick review of Bayes theorem\, the basics of probability and probability distributions\, followed by a fun exercise that introduces Bayesian inference in practice and how to define prior distributions. Finally\, some connection to maximum likelihood and linear regression.\nBayesian Computation. Bayesian inference in practice: the basics of sampling algorithms\, and how to know whether your model is less wrong than other models.\nBeyond the linear model: hierarchical and generalized linear models. Going beyond the basics: population inference with hierarchical Bayesian modelling\, fast inference with probabilistic and differentiable programming\, and going beyond linear regression\nSimulation-based Bayesian Inference. Bayesian inference with implicit likelihoods: how to sample posteriors when the likelihood is not accessible\, but a simulator is.\n\nProfessors: Gwen Eadie (University of Toronto) and Daniela Huppenkothen (SRON\, Netherlands)
URL:https://www.iaa.csic.es/evento/so-iaa-school-on-bayesian-statistics/
LOCATION:IAA – CSIC\, Glorieta de la Astronomía\, Granada\, España
CATEGORIES:SO Training
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