Continuing education courses66
hasCourse

Computational statistics  

Description

In this course, we will review basic concepts in statistical inference (confidence intervals, parameter estimation, and hypothesis testing). We will then study computer-intensive methods that work without imposing unrealistic or unverifiable assumptions about the data generating mechanism (randomization tests, the bootstrap, and Markov chain Monte Carlo). This will provide us with the foundations to study modern inference problems in statistics and machine learning (false discovery rates, Benjamini-Hochberg procedure, and causal inference). Prerequisites None. Desired prior knowledge: Probability and Statistics More information at: https://curriculum.maastrichtuniversity.nl/meta/466187/computational-statistics

Delivery mode

Presential
English

Name

Computational statistics
English

UNIVERSITY OF TWENTE

Faculty of Geo-Information Science and Earth Observation

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