Lecture

Nonparametric Statistics: Bayesian Approach

Description

This lecture covers non-parametric statistics, focusing on topics such as kernel density estimation, bandwidth selection, and asymptotic risk. It also delves into Bayesian statistics, discussing concepts like posterior distribution, point estimation, and credible intervals. The instructor provides insights on linear regression, including the least squares method and model assumptions.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_u7tw5z6t

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing, Non-parametric statistics

Data analysis: Regression analysis

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