Search for dissertations about: "probability density function"
Showing result 1 - 5 of 95 swedish dissertations containing the words probability density function.
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1. Modelling and Inference for Spatio-Temporal Marked Point Processes
Abstract : 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. READ MORE
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2. Nonparametric Functional Estimation under Order Restrictions
Abstract : This thesis consists of three papers (Papers A-C) on problems in nonparametric functional estimation, in particular density and regression function estimation and deconvolution, under order assumptions. Pointwise limit distribution results are stated for the obtained estimators, which include isotonic regression estimates, nonparametric maximum likelihood estimates of monotone densities, estimates of convex regression and density functions and deconvolution estimates. READ MORE
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3. Mathematical Modeling of Turbulent Reactive Flows
Abstract : The purpose of this thesis has been to study and develop mathematical models of non-premixed turbulent reacting flows. The models developed can be used both by the chemical process industry and for turbulent combustion applications. Furthermore, the models are general and not developed for any specific chemical or mechanical system. READ MORE
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4. Order restricted inference over countable preordered sets. Statistical aspects of neutron detection
Abstract : This thesis consists of four papers. In the first paper, we study the isotonic regression estimator over a general countable preordered set. We obtain the limiting distribution of the estimator and study its properties. Also, it is shown that the isotonisation preserves the rate of convergence of the underlying estimator. READ MORE
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5. Bayesian Modeling of Conditional Densities
Abstract : This thesis develops models and associated Bayesian inference methods for flexible univariate and multivariate conditional density estimation. The models are flexible in the sense that they can capture widely differing shapes of the data. The estimation methods are specifically designed to achieve flexibility while still avoiding overfitting. READ MORE