VK: coinRecently, a maximum pseudolikelihood (MPL) inference method has been successfully applied to statistical physics models with intractable likelihoods. We use information theory to derive a relation between the pseudolikelihood and likelihood functions. Furthermore, we show the consistency of the pseudolikelihood method for a general model.Peer reviewe
Interest in log-linear modeling for social-network data has grown steadily since Holland and Leinhar...
This paper describes a technique for computing approximate maximum pseudolikelihood estimates of the...
This chapter surveys computational methods for posterior inference with intractable likelihoods, tha...
VK: coinRecently, a maximum pseudolikelihood (MPL) inference method has been successfully applied to...
Maximum pseudolikelihood estimation (MPLE) constitutes a computationally ef-ficient and easily imple...
The development of the literature on the pseudo maximum likelihood (PML) estimators would not have b...
In a transformation model , where the errors are i.i.d. and independent of the explanatory variables...
This article concerns parameter estimation for general state space models, following a frequentist l...
40 pages, 24 figuresWe propose and test improvements to state-of-the-art techniques of Bayesian stat...
In this text we will look at two parameter estimation methods for Markov random fields on a lattice...
We propose and test improvements to state-of-the-art techniques of Bayeasian statistical inference ...
Theory is developed to show that second-order distributional behaviour of pseudolikelihood ratios ca...
In this paper we generalize Besag\u27s pseudo-likelihood function for spatial statistical models on ...
In this paper we generalize Besag's pseudo-likelihood function for spatial statistical models on a r...
In many spatial and spatial-temporal models, and more generally in models with com- plex dependencie...
Interest in log-linear modeling for social-network data has grown steadily since Holland and Leinhar...
This paper describes a technique for computing approximate maximum pseudolikelihood estimates of the...
This chapter surveys computational methods for posterior inference with intractable likelihoods, tha...
VK: coinRecently, a maximum pseudolikelihood (MPL) inference method has been successfully applied to...
Maximum pseudolikelihood estimation (MPLE) constitutes a computationally ef-ficient and easily imple...
The development of the literature on the pseudo maximum likelihood (PML) estimators would not have b...
In a transformation model , where the errors are i.i.d. and independent of the explanatory variables...
This article concerns parameter estimation for general state space models, following a frequentist l...
40 pages, 24 figuresWe propose and test improvements to state-of-the-art techniques of Bayesian stat...
In this text we will look at two parameter estimation methods for Markov random fields on a lattice...
We propose and test improvements to state-of-the-art techniques of Bayeasian statistical inference ...
Theory is developed to show that second-order distributional behaviour of pseudolikelihood ratios ca...
In this paper we generalize Besag\u27s pseudo-likelihood function for spatial statistical models on ...
In this paper we generalize Besag's pseudo-likelihood function for spatial statistical models on a r...
In many spatial and spatial-temporal models, and more generally in models with com- plex dependencie...
Interest in log-linear modeling for social-network data has grown steadily since Holland and Leinhar...
This paper describes a technique for computing approximate maximum pseudolikelihood estimates of the...
This chapter surveys computational methods for posterior inference with intractable likelihoods, tha...