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#123 BART & The Future of Bayesian Tools, with Osvaldo Martin

Learning Bayesian Statistics

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Exploring Bayesian Methods: BART vs. Traditional Techniques

This chapter delves into the complexities of Bayesian Additive Regression Trees (BART) compared to other modeling techniques like Gaussian processes and ARIMA. The speakers discuss the challenges of incorporating prior information into BART, their excitement for new applications, and the continuous learning journey in Bayesian methods. Additionally, they touch on the personal impact of literary figures, concluding with a reflection on the influence of José Luis Borges.

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