Sökning: "nonparametric function estimation"
Visar resultat 1 - 5 av 10 avhandlingar innehållade orden nonparametric function estimation.
1. Position Estimation and Tracking in Colloidal Particle Microscopy
Sammanfattning : 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. LÄS MER
2. Nonparametric Functional Estimation under Order Restrictions
Sammanfattning : 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. LÄS MER
3. Local Polynomial Regression with Application on Lidar Measurements
Sammanfattning : 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. LÄS MER
4. Spectral analysis and magnetic resonance spectroscopy
Sammanfattning : 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. LÄS MER
5. On Structured System Identification and Nonparametric Frequency Response Estimation
Sammanfattning : 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. LÄS MER