Search for dissertations about: "Dynamic mixture models"

Showing result 1 - 5 of 25 swedish dissertations containing the words Dynamic mixture models.

2. 1. Bayesian Sequential Inference for Dynamic Regression Models

   Author : Parfait Munezero; Mattias Villani; Helga Wagner; Stockholms universitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Bayesian sequential inference; Dynamic regression models; Particle filter; Online prediction; Particle smoothing; Linear Bayes; Statistics; statistik;

   Abstract : Many processes evolve over time and statistical models need to be adaptive to change. This thesis proposes flexible models and statistical methods for inference about a data generating process that varies over time. The models considered are quite general dynamic predictive models with parameters linked to a set of covariates via link functions. READ MORE

4. 2. Probabilistic Models for Species Tree Inference and Orthology Analysis

   Author : Ikram Ullah; Jens Lagergren; Arndt von Haeseler; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; phylogenetics; phylogenomics; gene tree; species tree; expectation maximization; mixture model; dynamic programming; markov chain monte carlo; PrIME; JPrIME; Datalogi; Computer Science;

   Abstract : A phylogenetic tree is used to model gene evolution and species evolution using molecular sequence data. For artifactual and biological reasons, a gene tree may differ from a species tree, a phenomenon known as gene tree-species tree incongruence. Assuming the presence of one or more evolutionary events, e.g. READ MORE

5. 3. Perspectives on Probabilistic Graphical Models

   Author : Dong Liu; Ragnar Thobaben; Harri Lähdesmäki; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Bayesian methods; graphical models; inference; learning; statistics; Electrical Engineering; Elektro- och systemteknik;

   Abstract : Probabilistic graphical models provide a natural framework for the representation of complex systems and offer straightforward abstraction for the interactions within the systems. Reasoning with help of probabilistic graphical models allows us to answer inference queries with uncertainty following the framework of probability theory. READ MORE

6. 4. Catalysis in Dynamic Systems: Control within Molecular Reaction Networks

   Author : Fredrik Schaufelberger; Olof Ramström; Leonard Prins; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; systems chemistry; dynamic covalent chemistry; catalyst screening; reaction networks; organocatalysis; imine exchange; combinatorial chemistry; dynamic systemic resolution; feedback; error-correction; Morita-Baylis-Hillman reaction; C-H activation; H-bond catalysis; transamination; Kemi; Chemistry;

   Abstract : Life as we know it is based on complex networks of biochemical reactions that constantly interact within large dynamic systems. The field of systems chemistry uses chemical models to study how reaction networks – and thereby life – function on a molecular level. READ MORE

7. 5. Speech Enhancement Using Nonnegative MatrixFactorization and Hidden Markov Models

   Author : Nasser Mohammadiha; Arne Leijon; W. Bastiaan Kleijn; Cédric Févotte; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Speech enhancement; noise reduction; nonnegative matrix factorization; hidden Markov model; probabilistic latent component analysis; online dictionary learning; super-Gaussian distribution; MMSE estimator; temporal dependencies; dynamic NMF;

   Abstract : Reducing interference noise in a noisy speech recording has been a challenging task for many years yet has a variety of applications, for example, in handsfree mobile communications, in speech recognition, and in hearing aids. Traditional single-channel noise reduction schemes, such as Wiener filtering, do not work satisfactorily in the presence of non-stationary background noise. READ MORE