Overview
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Explore the principles of Bayesian inference in this comprehensive lecture delivered by Vineeth BS as part of the Workshop on Data Assimilation in Weather and Climate Models. Delve into the second installment of the Bayesian inference series, building upon foundational concepts and advancing understanding of this crucial statistical approach. Gain insights into how Bayesian methods are applied in data assimilation for weather forecasting, climate modeling, and environmental sciences. Learn about the integration of prior knowledge with new data to update probabilities and improve predictive accuracy. Discover the relevance of Bayesian techniques in uncertainty estimation, ensemble methods, and their applications in atmospheric and oceanic studies. Enhance your skills in probabilistic reasoning and statistical inference, essential for researchers and practitioners in meteorology, climatology, and related fields.
Syllabus
Bayesian Inference (Lecture 2) by Vineeth BS
Taught by
International Centre for Theoretical Sciences