My Account Log in

1 option

Two-dimensional Regression Modelling with Copula Dependencies and a Focus on Count Data and Sports Applications / Hendrik van der Wurp.

Ebook Central Academic Complete Available online

View online
Format:
Book
Author/Creator:
van der Wurp, Hendrik, author.
Language:
English
Subjects (All):
Machine learning.
Physical Description:
1 online resource (117 pages)
Edition:
First edition.
Place of Publication:
Göttingen : Cuvillier Verlag, [2023]
Contents:
Intro
Chapter 1 Introduction
1.1 Guideline Through the Thesis and Description ofOriginality and Contributed Work
1.2 Notation and Basics
1.3 Motivation for Copulas
1.4 Introduction to Copulas
1.5 Underlying Methodology of the GJRM Framework
Chapter 2A Penalisation Approach forCompetitive Settings
2.1 Methodology
2.2 Simulations: Validating the Novel Penalisation
2.3 Application on Bundesliga Data in Real Time
Chapter 3 An Approach to Variable Selectionvia LASSO-Type Penalisation
3.1 Methodology
3.2 Simulations: Validating the LASSO-type Penalisation
Chapter 4 An Application to FIFA World Cups
4.1 The Data Set
4.2 Measures of Predictive Performance
4.3 Results
4.4 Summary of Results for FIFA World Cups
Chapter 5Case Study: Football and MachineLearning
5.1 Introduction
5.2 Data
5.3 Models and Evaluation Measures
5.4 Results
Chapter 6 Conclusion and Perspective
Bibliography
Appendix ATables
Appendix B Programming - Changes to GJRM
Appendix C Known Issues.
Notes:
Includes bibliographical references.
Description based on print version record.
Other Format:
Print version: van der Wurp, Hendrik Two-dimensional Regression Modelling with Copula Dependencies and a Focus on Count Data and Sports Applications
ISBN:
9783736969254

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Library Catalog Using Articles+ Library Account