Lectures related to Untitled | EPFL Graph Search

Explores model selection criteria like AIC, BIC, and Cp in statistics for data science.

Covers the estimation of distributions using samples and probability models.

Explores replicates, visualization methods, central tendency measures, outliers, dispersion, averages, residuals, and unbiased estimators.

Covers parameter estimation, Fisher information, unbiased estimator, and exponential distributions.

Explores geometric ergodicity in Markov chains and estimators' bias and variance, highlighting efficiency loss quantification.