22min chapter

Learning Bayesian Statistics cover image

#112 Advanced Bayesian Regression, with Tomi Capretto

Learning Bayesian Statistics

CHAPTER

Unlocking Sparse Matrices in Bayesian Modeling

This chapter explores the role of sparse matrices in linear models, emphasizing their computational efficiency by minimizing calculations related to zero values. It discusses the development of custom tools for sparse matrix functionalities within software frameworks, including the integration of these concepts into Bayesian modeling. The chapter also highlights collaboration and mentorship opportunities for those looking to enhance their skills in this advanced area of statistical modeling.

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