Search for dissertations about: "nonparametric function estimation"
Showing result 1 - 5 of 10 swedish dissertations containing the words nonparametric function estimation.
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1. Position Estimation and Tracking in Colloidal Particle Microscopy
Abstract : This thesis presents methods for estimating the locations (including depth) of spherical colloidal particles in images recorded in video microscopy. Understanding the behavior of colloidal interactions and diffusion is of crucial importance in a vast number of areas. 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. Local Polynomial Regression with Application on Lidar Measurements
Abstract : This thesis deals with the problem of estimating a function or one of its derivatives from a set of measurements, mainly of a bivariate or spatial nature which is so common in environmental applications. In this work particular attention has been on the lidar (light detection and ranging) application which is a versatile technique for measurement of among other things atmospheric trace gases. READ MORE
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4. Spectral analysis and magnetic resonance spectroscopy
Abstract : This dissertation is concerned with nonparametric approaches for spectral analysis (SA) and algorithms for magnetic resonance spectroscopy (MRS) data analysis.A method to obtain the optimal smoothing window for the class of SA methods based on local smoothing of the periodogram is proposed. READ MORE
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5. On Structured System Identification and Nonparametric Frequency Response Estimation
Abstract : To keep up with the ever increasing demand on performance and efficiency of control systems, accurate models are needed. System identification is concerned with the estimation and validation of mathematical models of dynamical systems from experimental data. READ MORE