Table of Contents: Gated Bayesian Networks.

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Gated Bayesian Networks.

Bibliographic Details
Main Author:	Bendtsen, Marcus.
Format:	eBook
Language:	English
Published:	Linköping : Linkopings Universitet, 2017.
Edition:	1st ed.
Series:	Linköping Studies in Science and Technology. Dissertations Series
Subjects:	Electronic books.
Online Access:	Click to View

Table of Contents:

Intro
ABSTRACT
Populärvetenskaplig sammanfattning
Acknowledgments
Contents
List of Figures
List of Tables
Chapter 1 Introduction
Chapter 2 Background
Chapter 3 Learning gated Bayesian networks for algorithmic trading
Chapter 4 Detecting regimes using gated Bayesian networks
Chapter 5 Regime aware learning of Bayesian networks
Chapter 6 Modelling regimes using Bayesian network mixtures
Chapter 7 Modelling causal scenarios using gated models
Chapter 8 Conclusions and future work
Bibliography
Appendix A
Appendix B
Appendix C
Appendix D.