National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Spatial epidemiology
Jalovcová, Adéla ; Dvořák, Jiří (advisor) ; Pawlas, Zbyněk (referee)
This work deals with spa al sta s cs methods that are suitable for analysing spa al epidemiological data. The work presents tests of spa al autocorrela on and applies them on data of the number of people infected by Covid 19. The main part of the work is Bayesian modelling of epidemiological data using Integrated Nested Laplace Approxima ons. We summarise the main principles of this method and present a chosen model for given data. Besides the spa al aspect of the data, the work shows how to incorporate other risk factors into the model and how to make the model spa o-temporal. Furthermore the work applies the model on the data and tests the suitability of the model with a global envelope test.
Fractional Poisson Process
Jalovcová, Adéla ; Čoupek, Petr (advisor) ; Maslowski, Bohdan (referee)
This work concerns the fractional Poisson process and its properties. The aim of this work is to derive some of its properties in detail. The first chapter contains the basics of the theory of random processes, fractional calculus, especially in connection with fractional differential equations, the Laplace transform and some properties of the classical Poisson process. The second chapter contains the definition of the fractional Poisson process and from it, using the theory from Chapter 1, we derive the fractional Poisson distribution, mean value and variance, as well as the proof of non-stationarity of increments and other properties. Finally, simulations of its trajectories are given of various values of parameters. 1

Interested in being notified about new results for this query?
Subscribe to the RSS feed.