Add to ORKGThe aim of this work is to highlight some interesting connections between contingency tables analysis and design of experiments. In particular, we consider two-way tables in correspondence to two-factor designs. We provide a condition that characterizes the estimability of the independence model for all saturated fractions
The goal of the paper is to recall a recently introduced concept of con-ditional independence in evi...
Several competing computational techniques for dealing with sampling zeros were evaluated when estim...
AbstractA contingency table summarizes the conditional frequencies of two attributes and shows how t...
The aim of this work is to highlight some interesting connections between contingency tables analysi...
In this paper we study a new class of statistical models for contingency tables. We define this clas...
We use a close connection between the theory of Markov fields and that of log-linear interaction mod...
The Diaconis-Sturmfels algorithm is a method for sampling from conditional distributions, based on t...
The Diaconis-Sturmfels algorithm is a method for sampling from conditional distributions, based on t...
Frequently, contingency tables are generated in a multinomial sampling. Multinomial probabilities ar...
The analysis of R×C contingency tables usually features a test for independence between row and colu...
Log-linear models are a classical tool for the analysis of contingency tables. In particular, the su...
Diaconis-Sturmfels developed an algorithm for sampling from conditional distributions for a statisti...
This thesis is mainly concerned with conditional inference for contingency tables, where the MCMC me...
In this work we define log-linear models to compare several square contingency tables under the quas...
In a multinomial sampling, contingency tables can be parametrized by probabilities of each cell. The...
The goal of the paper is to recall a recently introduced concept of con-ditional independence in evi...
Several competing computational techniques for dealing with sampling zeros were evaluated when estim...
AbstractA contingency table summarizes the conditional frequencies of two attributes and shows how t...
The aim of this work is to highlight some interesting connections between contingency tables analysi...
In this paper we study a new class of statistical models for contingency tables. We define this clas...
We use a close connection between the theory of Markov fields and that of log-linear interaction mod...
The Diaconis-Sturmfels algorithm is a method for sampling from conditional distributions, based on t...
The Diaconis-Sturmfels algorithm is a method for sampling from conditional distributions, based on t...
Frequently, contingency tables are generated in a multinomial sampling. Multinomial probabilities ar...
The analysis of R×C contingency tables usually features a test for independence between row and colu...
Log-linear models are a classical tool for the analysis of contingency tables. In particular, the su...
Diaconis-Sturmfels developed an algorithm for sampling from conditional distributions for a statisti...
This thesis is mainly concerned with conditional inference for contingency tables, where the MCMC me...
In this work we define log-linear models to compare several square contingency tables under the quas...
In a multinomial sampling, contingency tables can be parametrized by probabilities of each cell. The...
The goal of the paper is to recall a recently introduced concept of con-ditional independence in evi...
Several competing computational techniques for dealing with sampling zeros were evaluated when estim...
AbstractA contingency table summarizes the conditional frequencies of two attributes and shows how t...