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Document type:
Masterarbeit
Author(s):
Sebastian Scharl
Title:
D-vine Regression Based Bayesian Networks Applied to the Sachs Dataset
Abstract:
Appropriately modeling multivariate data is an important and present topic in statistics. Bayesian Networks, following Pearl (1988), have become a useful and intuitive tool to chal-lenge this task. A common approach is to model each conditional density as a conditional normal density receiving a Linear Gaussian Bayesian Network (Koller and Friedman, 2009), which then represents a multivariate Gaussian distribution. This automatically results in disadvantages if the underlying data is not jointly...     »
Subject:
MAT Mathematik
DDC:
510 Mathematik
Supervisor:
Claudia Czado
Advisor:
Claudia Czado
Date of acceptation:
20.04.2021
Year:
2021
Quarter:
2. Quartal
Year / month:
2021-04
Month:
Apr
Pages:
212
Language:
en
University:
Technische Universität München
Faculty:
Fakultät für Mathematik
TUM Institution:
Professur für Angewandte Mathematische Statistik
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