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Explore advanced statistical concepts in this comprehensive lecture on fitting models. Delve into cross-validation techniques, regularization methods, and importance sampling. Examine the challenges of model mis-selection and learn about robust regression approaches. Gain insights into information criteria and their applications in statistical analysis. Conclude with a summary and outlook on the future of statistical modeling. Access additional course materials through the provided GitHub repository for a deeper understanding of the topics covered.
