Search for dissertations about: "Markov models"

Showing result 1 - 5 of 247 swedish dissertations containing the words Markov models.

  2. 1. Hidden Markov models : Identification, control and inverse filtering

    Author : Robert Mattila; Bo Wahlberg; Eric Moulines; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; hidden markov models; system identification; method of moments; inverse filtering; abdominal aortic aneurysm; medical; markov decision process; structure; Electrical Engineering; Elektro- och systemteknik;

    Abstract : The hidden Markov model (HMM) is one of the workhorse tools in, for example, statistical signal processing and machine learning. It has found applications in a vast number of fields, ranging all the way from bioscience to speech recognition to modeling of user interactions in social networks. READ MORE

  4. 2. Probabilistic Sequence Models with Speech and Language Applications

    Author : Gustav Eje Henter; W. Bastiaan Kleijn; Arne Leijon; Gernot Kubin; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Time series; acoustic modelling; speech synthesis; stochastic processes; causal-state splitting reconstruction; robust causal states; pattern discovery; Markov models; HMMs; nonparametric models; Gaussian processes; Gaussian process dynamical models; nonlinear Kalman filters; information theory; minimum entropy rate simplification; kernel density estimation; time-series bootstrap;

    Abstract : Series data, sequences of measured values, are ubiquitous. Whenever observations are made along a path in space or time, a data sequence results. To comprehend nature and shape it to our will, or to make informed decisions based on what we know, we need methods to make sense of such data. READ MORE

  5. 3. Semi-Markov Models for Insurance and Option Rewards

    Author : Fredrik Stenberg; Dmitrii Silvestrov; Kimmo Eriksson; Nikolaos Limnios; Mälardalens högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; semi-Markov process; discrete time; insurance; actuarial; higher order reward; disability; variance; skewness; kurtosis; reward process; stochastic volatility; controlling semi-Markov process; Monte Carlo algorithm; convergence; optimal stopping; skeleton approximation; regime switching; semi-Markov modulated; European option; American option; Lévy process.; MATHEMATICS; MATEMATIK; Matematik tillämpad matematik;

    Abstract : This thesis presents studies of semi-Markov models for insurance and option rewards. The thesis consists of the introduction and six papers. The introduction presents the results of the thesis in an informal way.In paper A, a general semi-Markov reward model is presented. READ MORE

  6. 4. Hidden Markov Models: Identification, Inverse Filtering and Applications

    Author : Robert Mattila; Bo Wahlberg; Cristian R. Rojas; John Lygeros; Jan H. van Schuppen; Tobias Rydén; Ayca Özcelikkale; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; hidden Markov models; HMM; inverse filtering; identification; estimation; method of moments; counter-adversarial autonomous systems; adversarial signal processing; belief estimation; abdominal aortic aneurysm; medical; Electrical Engineering; Elektro- och systemteknik;

    Abstract : A hidden Markov model (HMM) comprises a state with Markovian dynamics that is hidden in the sense that it can only be observed via a noisy sensor. This thesis considers three themes in relation to HMMs, namely, identification, inverse filtering and applications. READ MORE

  7. 5. Latent variable models for longitudinal twin data

    Author : Annica Dominicus; Juni Palmgren; Nancy L. Pedersen; Michael G. Kenward; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Latent variable models; twin models; variance components; change point models; non-ignorable nonresponse; likelihood ratio tests; Mathematical statistics; Matematisk statistik;

    Abstract : Longitudinal twin data provide important information for exploring sources of variation in human traits. In statistical models for twin data, unobserved genetic and environmental factors influencing the trait are represented by latent variables. In this way, trait variation can be decomposed into genetic and environmental components. READ MORE