Search for dissertations about: "Matematisk_statistik"
Showing result 1 - 5 of 358 swedish dissertations containing the word Matematisk_statistik.
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1. On Methods for Real Time Sampling and Distributions in Sampling
Abstract : This thesis is composed of six papers, all dealing with the issue of sampling from a finite population. We consider two different topics: real time sampling and distributions in sampling. The main focus is on Papers A–C, where a somewhat special sampling situation referred to as real time sampling is studied. READ MORE
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2. Perfect simulation of some spatial point processes
Abstract : Coupling from the past (CFTP) algorithms are presented that generate perfectly distributed samples from the multi-type Widom--Rowlinson (W--R) model and some generalizations of it. The classical W--R model is a point process in the plane or the space consisting of points of several different types. READ MORE
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3. Models for Additive and Sufficient Cause Interaction
Abstract : The aim of this thesis is to develop and explore models in, and related to, the sufficient cause framework, and additive interaction. Additive interaction is closely connected with public health interventions and can be used to make inferences about the sufficient causes in order to find the mechanisms behind an outcome, for instance a disease. READ MORE
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4. Topics on Large Deviations in Artificial Intelligence
Abstract : Artificial intelligence has become one of the most important fields of study during the last decade. Applications include medical sciences, autonomous vehicles, finance and everyday life. Therefore the analysis of convergence and stability of these algorithms is of utmost importance. READ MORE
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5. Data driven modeling in the presence of time series structure: : Improved bounds and effective algorithms
Abstract : This thesis consists of five appended papers devoted to modeling tasks where the desired models are learned from data sets with an underlying time series structure. We develop a statistical methodology for providing efficient estimators and analyzing their non-asymptotic behavior. READ MORE