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"Advances in Combined Permutation Tests"

Lectures / Seminars

by

Prof. Stefano Bonnini

Department of Economics and Management

University of Ferrara, Italy

 

May 17 - 28, 2018

University of Latvia, Riga, Latvia 

 

Faculty of Business, Management and Economics, Faculty of Computing, and Laboratory for Perceptual and Cognitive Systems at the Faculty of Computing 
invite to

Lectures and Seminars

"Advances in Combined Permutation Tests"

by
Prof. Stefano Bonnini
Department of Economics and Management
University of Ferrara, Italy

Prof. Bonnini is a leading expert working on advanced methods in non-parametric statistics. He is an author of "Nonparametric Hypothesis Testing. Rank and Permutation Methods with Applications in R" (2014; Wiley: Chichester) which will be the main focus of his lectures and seminars.

In several application problems, the phenomena under study are multidimensional. Therefore, these phenomena are represented by multivariate variables. In multivariate inferential problems, such as tests of hypotheses for comparing two or more populations, where data are assumed to be determinations of random variables, standard parametric methods (e.g. likelihood ratio test, Hotelling T2 test, ...), when applicable, require stringent assumptions that make them non robust and often inappropriate.
The proposed combined nonparametric test, is based on the breakdown of the problem into as many sub-problems as many variables, and on the application of a univariate permutation test for each sub-problem. The combination of the permutation significance level functions of each test provides a unique test statistic (and a unique p-value) to solve the multivariate problem. 
Reference:
Bonnini S, Corain L, Marozzi M, Salmaso L (2014). Nonparametric Hypothesis Testing. Rank and Permutation Methods with Applications in R. Wiley: Chichester


Timetable

Thursday, May 17, 180 min, seminar
(for participants with minor or no background in R)
Friday, May 18, 90 min, seminar

First two seminars: introduction to basic notions on test of statistical hypothesis and permutation tests (from the methodological side) and R (from the software point of view).

Tuesday, May 22, 90 min, lecture
Wednesday, May 23, 180 min, seminar 
Thursday, May 24, 90 min, seminar

Monday, May 28, 90 min, lecture

In seminars testing methods will be presented in using R codes. Participants are encouraged to take their own computers.

 

All seminars and lectures will take place in Room 322, Faculty of Business, Management and Economics, Aspazijas blvd. 5. Time: 16 15.

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