Sökning: "expectation maximisation"

Visar resultat 1 - 5 av 11 avhandlingar innehållade orden expectation maximisation.

  1. 1. Spatio-Temporal Estimation for Mixture Models and Gaussian Markov Random Fields - Applications to Video Analysis and Environmental Modelling

    Författare :Johan Lindström; Matematisk statistik; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; vegetation; time series analysis; video segmentation; spatio-temporal modelling; precipitation; Markov chain Monte Carlo; Gaussian Markov random fields; expectation maximisation; change point detection; Bayesian recursive estimation; African Sahel; adaptive Gaussian mixtures;

    Sammanfattning : In this thesis computationally intensive methods are used to estimate models and to make inference for large, spatio-temporal data sets. The thesis is divided into two parts: the first two papers are concerned with video analysis, while the last three papers model and investigate environmental data from the Sahel area in northern Africa. LÄS MER

  2. 2. Sensor Fusion and Control Applied to Industrial Manipulators

    Författare :Patrik Axelsson; Mikael Norrlöf; Fredrik Gustafsson; Paolo Rocco; Linköpings universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Industrial Robots; Sensor Fusion; Iterative Learning Control; H-infinity Controller; Controllability; Extended Kalman Filter; Particle Filter; Expectation Maximisation; Continuous-time Filtering; Norm-optimal ILC;

    Sammanfattning : One of the main tasks for an industrial robot is to move the end-effector in a predefined path with a specified velocity and acceleration. Different applications have different requirements of the performance. LÄS MER

  3. 3. Inference techniques for stochastic nonlinear system identification with application to the Wiener-Hammerstein models

    Författare :Giuseppe Giordano; Chalmers University of Technology; []
    Nyckelord :NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; nonlinear systems; system identification; stochastic; Maximum Likelihood; Wiener-Hammerstein; Monte Carlo; Newton s method;

    Sammanfattning : Stochastic nonlinear systems are a specific class of nonlinear systems where unknown disturbances affect the system's output through a nonlinear transformation. In general, the identification of parametric models for this kind of systems can be very challenging. LÄS MER

  4. 4. Pharmacometric Methods and Novel Models for Discrete Data

    Författare :Elodie L Plan; Mats O Karlsson; Laura Sargentini-Maier; Armel Stockis; Christian Laveille; Uppsala universitet; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacometrics; pharmacodynamics; disease progression; modelling; discrete data; count; ordered categorical; repeated time-to-event; RTTCE; RCEpT; NONMEM; FOCE; LAPLACE; SAEM; AGQ; pain scores; epilepsy seizures; gastroesophageal symptoms; statistical power; simulations; diagnostics; PHARMACY; FARMACI; Pharmacokinetics and Drug Therapy; Farmakokinetik och läkemedelsterapi;

    Sammanfattning : Pharmacodynamic processes and disease progression are increasingly characterized with pharmacometric models. However, modelling options for discrete-type responses remain limited, although these response variables are commonly encountered clinical endpoints. Types of data defined as discrete data are generally ordinal, e.g. LÄS MER

  5. 5. Rao-Blackwellised particle methods for inference and identification

    Författare :Fredrik Lindsten; Thomas Schön; Lennart Ljung; Fredrik Gustafsson; Tobias Rydén; Linköpings universitet; []
    Nyckelord :TECHNOLOGY; TEKNIKVETENSKAP;

    Sammanfattning : We consider the two related problems of state inference in nonlinear dynamical systems and nonlinear system identification. More precisely, based on noisy observations from some (in general) nonlinear and/or non-Gaussian dynamical system, we seek to estimate the system state as well as possible unknown static parameters of the system. LÄS MER