Title: Study of the dependence structure in economic and financial data Author: Radana Hlavandová Department: Department of Probability and Mathematical Statistics Supervisor: RNDr. Jitka Zichová, Dr., Department of Probability and Mathematical Statistics Abstract: The thesis focuses on the issue of graphical models as a possible \\method for determining relationships between different variables. The thesis provides a broad theoretical basis for two methods of testing data, the test of zero partial correlation coefficients and the test based on maximum likelihood estimate. The last mentioned approach is a test of a graphical model with a data set on the basis of deviance. The thesis describes the theory of conditional independence and Marko...
With graphical Markov models, one can investigate complex dependences, summarize some results of sta...
A graphical model is simply a representation of the results of an analysis of relationships between ...
In canonical vector time series autoregressions, which permit dependence only on past values, the er...
Title: Dependence analysis of categorical data from banking Author: Miroslav Khýr Department: Depart...
In this thesis we apply graphical statistics models for analyzing causality relations among various ...
Partial correlations are the natural interaction terms to be associated with the edges of the indepe...
Graphical models in statistics and econometrics provide capability to describe causal relations usin...
When data are available for all nodes of a Gaussian graphical model, then, it is possible to use sam...
<div><p>This article introduces a graphical goodness-of-fit test for copulas in more than two dimens...
In this paper graphical modelling is used to select a sparse structure for a multivariate time serie...
This paper discusses two graphical methods for the investigation of local association of two continu...
RePEc Working Papers Series: No: 19/2008In this paper graphical modelling is used to select a sparse...
This paper provides a general methodology for testing for dependence in time series data, with parti...
The thesis is composed of three parts. Part I introduces the mathematical and statistical tools that...
The contingency table literature on tests for dependence among discrete multi-category variables ass...
With graphical Markov models, one can investigate complex dependences, summarize some results of sta...
A graphical model is simply a representation of the results of an analysis of relationships between ...
In canonical vector time series autoregressions, which permit dependence only on past values, the er...
Title: Dependence analysis of categorical data from banking Author: Miroslav Khýr Department: Depart...
In this thesis we apply graphical statistics models for analyzing causality relations among various ...
Partial correlations are the natural interaction terms to be associated with the edges of the indepe...
Graphical models in statistics and econometrics provide capability to describe causal relations usin...
When data are available for all nodes of a Gaussian graphical model, then, it is possible to use sam...
<div><p>This article introduces a graphical goodness-of-fit test for copulas in more than two dimens...
In this paper graphical modelling is used to select a sparse structure for a multivariate time serie...
This paper discusses two graphical methods for the investigation of local association of two continu...
RePEc Working Papers Series: No: 19/2008In this paper graphical modelling is used to select a sparse...
This paper provides a general methodology for testing for dependence in time series data, with parti...
The thesis is composed of three parts. Part I introduces the mathematical and statistical tools that...
The contingency table literature on tests for dependence among discrete multi-category variables ass...
With graphical Markov models, one can investigate complex dependences, summarize some results of sta...
A graphical model is simply a representation of the results of an analysis of relationships between ...
In canonical vector time series autoregressions, which permit dependence only on past values, the er...