summary:In this paper we analyze the asymptotic behavior of the IPF algorithm for the problem of finding a 2x2x2 contingency table whose pair marginals are all equal to a specified 2x2 table, depending on a parameter. When this parameter lies below a certain threshold the marginal problem has no solution. We show that in this case the IPF has a “period three limit cycle” attracting all positive initial tables, and a bifurcation occur when the parameter crosses the threshold
Log-linear and logistic models can be fitted to data in contingency tables either by an iterative pr...
The CANDECOMP/PARAFAC (CP) model decomposes a three-way array into a prespecified number of R factor...
AbstractWe show that the complexity of the Markov bases of multidimensional tables stabilizes eventu...
summary:In this paper we analyze the asymptotic behavior of the IPF algorithm for the problem of fin...
summary:The BIPF algorithm is a Markovian algorithm with the purpose of simulating certain probabili...
The asymptotic behavior of the iterative proportional fitting procedure (IPF procedure) is analyzed ...
In this paper we study the computation of Markov bases for contingency tables whose cell entries hav...
AbstractWe provide a polyhedral description of the conditions for the existence of the maximum likel...
This dissertation investigates the difficulty of counting two classes of combinatorial objects, line...
International audienceThe iterative proportional fitting procedure (IPFP), introduced in 1937 by Kru...
Convergence of the Iterative Proportional Fitting procedure is analyzed. The input comprises a nonne...
Diaconis-Sturmfels developed an algorithm for sampling from conditional distributions for a statisti...
A new analysis of the Iterative Proportional Fitting procedure is presented. The input data consist ...
We consider connected Markov chain for sampling 3 3 K contingency tables having xed two-dimensiona...
In the classic Integer Programming Feasibility (IPF) problem, the objective is to decide whether, fo...
Log-linear and logistic models can be fitted to data in contingency tables either by an iterative pr...
The CANDECOMP/PARAFAC (CP) model decomposes a three-way array into a prespecified number of R factor...
AbstractWe show that the complexity of the Markov bases of multidimensional tables stabilizes eventu...
summary:In this paper we analyze the asymptotic behavior of the IPF algorithm for the problem of fin...
summary:The BIPF algorithm is a Markovian algorithm with the purpose of simulating certain probabili...
The asymptotic behavior of the iterative proportional fitting procedure (IPF procedure) is analyzed ...
In this paper we study the computation of Markov bases for contingency tables whose cell entries hav...
AbstractWe provide a polyhedral description of the conditions for the existence of the maximum likel...
This dissertation investigates the difficulty of counting two classes of combinatorial objects, line...
International audienceThe iterative proportional fitting procedure (IPFP), introduced in 1937 by Kru...
Convergence of the Iterative Proportional Fitting procedure is analyzed. The input comprises a nonne...
Diaconis-Sturmfels developed an algorithm for sampling from conditional distributions for a statisti...
A new analysis of the Iterative Proportional Fitting procedure is presented. The input data consist ...
We consider connected Markov chain for sampling 3 3 K contingency tables having xed two-dimensiona...
In the classic Integer Programming Feasibility (IPF) problem, the objective is to decide whether, fo...
Log-linear and logistic models can be fitted to data in contingency tables either by an iterative pr...
The CANDECOMP/PARAFAC (CP) model decomposes a three-way array into a prespecified number of R factor...
AbstractWe show that the complexity of the Markov bases of multidimensional tables stabilizes eventu...