Sökning: "Ottmar Cronie"

Hittade 3 avhandlingar innehållade orden Ottmar Cronie.

  1. 1. Different Aspects of Inference for Spatio-Temporal Point Processes

    Författare :Ottmar Cronie; Göteborgs universitet; []
    Nyckelord :LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Asymptotic normality; Consistency; Edge correction; Immigration-death process; Least squares estimation; Maximum likelihood estimation; Spatio-temporal marked point process; Transition probability.; Consistency;

    Sammanfattning : This thesis deals with inference problems related to the Renshaw-Särkkä growth interaction model (RS-model). It is a continuous time spatio-temporal point process with time dependent interacting marks, in which the immigrationdeath process (a continuous time Markov chain) controls the arrivals of new marked points as well as their potential life-times. LÄS MER

  3. 2. Modelling and Inference for Spatio-Temporal Marked Point Processes

    Författare :Ottmar Cronie; Göteborgs universitet; []
    Nyckelord :LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Asymptotic normality; Consistency; Cox-Ingersoll-Ross process; Diffusion process; Edge correction; Goodness-of-fit; Richards growth function; Growth-interaction process; Immigration-death process; Least squares estimation; Markov process; Maximum likelihood estimation; Open-growth; Spatio-temporal marked point process; Stationarity; Stochastic differential equation; Transition density; Asymptotic normality;

    Sammanfattning : This thesis deals with inference problems related to the growth-interaction process (GI-process). The GI-process is a continuous time spatio-temporal point process with dynamic interacting marks (closed disks), in which the immigration-death process (ID-process) controls the arrivals of new marked points as well as their potential life-times. LÄS MER

  4. 3. Statistical methods in medical image estimation and sparse signal recovery

    Författare :Fekadu Lemessa Bayisa; Jun Yu; Ottmar Cronie; Henning Omre; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Computed tomography; magnetic resonance imaging; Gaussian mixture model; skew-Gaussian mixture model; hidden Markov random field; hidden Markov model; supervised statistical learning; synthetic CT images; pseudo-CT images; spike and slab prior; adaptive algorithm;

    Sammanfattning : This thesis presents work on methods for the estimation of computed tomography (CT) images from magnetic resonance (MR) images for a number of diagnostic and therapeutic workflows. The study also demonstrates sparse signal recovery method, which is an intermediate method for magnetic resonance image reconstruction. LÄS MER