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Course

MATH-562: Statistical inference

Summary

Inference from the particular to the general based on probability models is central to the statistical method. This course gives a graduate-level introduction of the main ideas of statistical inference.

Lectures

Instructor

Rajita Ramesh Chandak

Official source

https://edu.epfl.ch/coursebook/en/statistical-inference-MATH-562

Moodle Page

http://go.epfl.ch/MATH-562

About this result

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Summary

Lectures

Instructor

Rajita Ramesh Chandak

Official source

https://edu.epfl.ch/coursebook/en/statistical-inference-MATH-562

Moodle Page

http://go.epfl.ch/MATH-562

About this result

Ontological neighbourhood

Statistics

Statistical inference: Statistical hypothesis testing, Mathematical statistics

Lectures in this course (6)

Regular Exponential Family Models

Explores regular exponential family models, unifying distributions like Poisson, binomial, and normal under a common framework.

Exponential Family Models: Statistical Inference

Covers exponential family models and their statistical properties, including canonical statistics and cumulant-generating functions.

Eliminating Nuisance Parameters: Lemmas in Statistical Inference

Explores the elimination of nuisance parameters in statistical models using Lemmas 14 and 15.

Eliminating Nuisance Parameters: Statistical Inference

Covers the elimination of nuisance parameters in statistical inference using Lemmas 14 and 15.

Statistical Inference: Model Selection and Nuisance Parameters

Covers model selection, nuisance parameters, and higher-order inference methods in statistical inference.

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