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Independence Tests and Dependence Measures for Unbiased and Biased Samples

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Statistical Inference Courses Correlation Analysis Courses Non-Parametric Tests Courses

Course Description

Overview

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Explore independence tests and dependence measures for unbiased and biased samples in this 47-minute lecture from the Computational Genomics Summer Institute (CGSI) 2023. Delve into the concepts presented by Or Zuk, examining various statistical approaches to measuring and testing dependence. Gain insights from related research papers, including studies on correlation of distances, truncated data applications in redshift surveys, and non-parametric tests of independence. Enhance your understanding of statistical methods used in computational genomics and their applications in analyzing complex datasets.

Syllabus

Or Zuk | Independence Tests and Dependence Measures, for Unbiased and Biased Samples | CGSI 2023


Taught by

Computational Genomics Summer Institute CGSI

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