Search for dissertations about: "Dynamical Models"

Showing result 1 - 5 of 179 swedish dissertations containing the words Dynamical Models.

  1. 1. Identification of Stochastic Nonlinear Dynamical Models Using Estimating Functions

    University dissertation from KTH Royal Institute of Technology

    Author : Mohamed Abdalmoaty; KTH.; [2019]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Prediction Error Method; Maximum Likelihood; Data-driven; Learning; Stochastic; Nonlinear; Dynamical Models; Non-stationary Linear Predictors; Intractable Likelihood; Latent Variable Models; Estimation; Process Disturbance; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Data-driven modeling of stochastic nonlinear systems is recognized as a very challenging problem, even when reduced to a parameter estimation problem. A main difficulty is the intractability of the likelihood function, which renders favored estimation methods, such as the maximum likelihood method, analytically intractable. READ MORE

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

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Gustav Eje Henter; KTH.; [2013]
    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

  3. 3. Logical Dynamics and Dynamical Systems

    University dissertation from Media-Tryck, Lund University, Sweden

    Author : Rasmus Kraemmer Rendsvig; Lund University.; Lunds universitet.; [2018-02]
    Keywords : Formal epistemology; Modal logic; Dynamic epistemic logic; Dynamical systems; General topology;

    Abstract : This thesis is on information dynamics modeled using *dynamic epistemic logic* (DEL). It takes the simple perspective of identifying models with maps, which under a suitable topology may be analyzed as *topological dynamical systems*. It is composed of an introduction and six papers. READ MORE

  4. 4. Learning Stochastic Nonlinear Dynamical Systems Using Non-stationary Linear Predictors

    University dissertation from Stockholm, Sweden : KTH Royal Institute of Technology

    Author : Mohamed Abdalmoaty; KTH.; [2017]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Stochastic Nonlinear Systems; Nonlinear System Identification; Learning Dynamical Models; Maximum Likelihood; Estimation; Process Disturbance; Prediction Error Method; Non-stationary Linear Predictors; Intractable Likelihood; Latent Variable Models; Electrical Engineering; Elektro- och systemteknik;

    Abstract : The estimation problem of stochastic nonlinear parametric models is recognized to be very challenging due to the intractability of the likelihood function. Recently, several methods have been developed to approximate the maximum likelihood estimator and the optimal mean-square error predictor using Monte Carlo methods. READ MORE

  5. 5. Gaussian process models of social change

    University dissertation from Uppsala : Department of Mathematics

    Author : Björn Rune Helmer Blomqvist; Uppsala universitet.; [2018]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Gaussian processes; Bayesian statistics; Dynamical systems; Social sciences; Tillämpad matematik och statistik; Applied Mathematics and Statistics;

    Abstract : Social systems produce complex and nonlinear relationships in the indicator variables that describe them. Traditional statistical regression techniques are commonly used in the social sciences to study such systems. READ MORE