Search for dissertations about: "Gibbs sampling"
Showing result 1 - 5 of 17 swedish dissertations containing the words Gibbs sampling.
-
1. Statistical models of TF/DNA interaction
Abstract : Gene expression is regulated in response to metabolic necessities and environmental changes throughout the life of a cell. A major part of this regulation is governed at the level of transcription, deciding whether messengers to specific genes are produced or not. READ MORE
-
2. Structural Models of Network Contacts Between Actors Governed by Activity and Attraction
Abstract : This thesis consists of five papers on the subject of statistical modeling of stochastic networks. The NG-model proposed in Paper I combines a block structure with parameters that capture the identities of vertices and thus the new approach stresses the concept of ego-nets, which describes the structure around identified vertices. READ MORE
-
3. Particle filters and Markov chains for learning of dynamical systems
Abstract : Sequential Monte Carlo (SMC) and Markov chain Monte Carlo (MCMC) methods provide computational tools for systematic inference and learning in complex dynamical systems, such as nonlinear and non-Gaussian state-space models. This thesis builds upon several methodological advances within these classes of Monte Carlo methods. READ MORE
-
4. Bayesian Models for Multilingual Word Alignment
Abstract : In this thesis I explore Bayesian models for word alignment, how they can be improved through joint annotation transfer, and how they can be extended to parallel texts in more than two languages. In addition to these general methodological developments, I apply the algorithms to problems from sign language research and linguistic typology. READ MORE
-
5. Stochastic Models Involving Second Order Lévy Motions
Abstract : This thesis is based on five papers (A-E) treating estimation methods for unbounded densities, random fields generated by Lévy processes, behavior of Lévy processes at level crossings, and a Markov random field mixtures of multivariate Gaussian fields. In Paper A we propose an estimator of the location parameter for a density that is unbounded at the mode. READ MORE