BITESIZE | How to Make Your Models Faster, with Haavard Rue & Janet van Niekerk
Learning Bayesian Statistics
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Advancements in Computational Modeling: Scaling and Application
This chapter discusses the evolution and efficiency of InLar in scaling with data and model size, drawing on personal experiences with Bayesian statistics. It highlights the challenges of developing covariance and correlation matrices and sets the stage for exploring practical applications of these computational methods.
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