Search for dissertations about: "kernel density estimates"

Found 5 swedish dissertations containing the words kernel density estimates.

2. 1. Nonparametric Functional Estimation under Order Restrictions

   Author : Dragi Anevski; Matematisk statistik; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; monotonicity; convexity; deconvolution; kernel smoothing; NPMLE; long range dependence; greatest convex minorant; mixing; Density estimation; limit distribution.; regression; Mathematics; Matematik;

   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

4. 2. Topics in multifractal measures, nonparametrics and biostatistics

   Author : Attila Frigyesi; Anestesiologi och intensivvård; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; confidence interval; mixed effects; Statistics; operations research; programming; actuarial mathematics; Statistik; operationsanalys; programmering; aktuariematematik; operational model of pharmacological agonism; concentration-response curves; dose-response curves; ventilation perfusion scintigraphy; V Q-scan; pulmonary embolism; automated method; box counting; correlation dimension; Hentschel-Procaccia dimension; Rényi dimension; generalized dimensions; fractal dimension estimation; dimension spectrum; multifractal measures; kernel density estimates; absolute continuity; singular distribution functions;

   Abstract : This thesis consists of four papers. The first two papers, which comprise the main part of the thesis, deal with an unexpected connection between kernel density estimators and dimension spectra for multifractal measures. READ MORE

5. 3. Resampling Evaluation of Signal Detection and Classification : With Special Reference to Breast Cancer, Computer-Aided Detection and the Free-Response Approach

   Author : Anna Bornefalk Hermansson; Rolf Larsson; Ulf Olsson; Dankmar Böhning; Uppsala universitet; []
   Keywords : Statistics; breast cancer; trend modelling; FROC; confidence intervals; threshold independence; bootstrap; kernel density estimation; mammography; computer-aided detection; Statistik;

   Abstract : The first part of this thesis is concerned with trend modelling of breast cancer mortality rates. By using an age-period-cohort model, the relative contributions of period and cohort effects are evaluated once the unquestionable existence of the age effect is controlled for. READ MORE

6. 4. Discrete Scale-Space Theory and the Scale-Space Primal Sketch

   Author : Tony Lindeberg; Jan-Olof Eklundh; Jan. J Koenderink; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Computer vision; low-level processing; scale-space; diffusion; Gaussian filtering; discrete smoothing; primal sketch; segmentation; descriptive elements; scale detection; image structure; focus-of-attention; tuning low-level processing; blob detection; edge detection; edge focusing; histogram analysis; junction classification; perceptual grouping; texture analysis; critical points; classification of blob events; bifurcations; drift velocity; density of local extrema; multi-scale representation; digital signal processing; Computer Science; Datalogi;

   Abstract : This thesis, within the subfield of computer science known as computer vision, deals with the use of scale-space analysis in early low-level processing of visual information. The main contributions comprise the following five subjects:The formulation of a scale-space theory for discrete signals. READ MORE

7. 5. On inference in partially observed Markov models using sequential Monte Carlo methods

   Author : Jonas Ströjby; Matematisk statistik; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES;

   Abstract : This thesis concerns estimation in partially observed continuous and discrete time Markov models and focus on both inference about the conditional distribution of the unobserved process as well as parameter inference for the dynamics of the unobserved process. Paper A concerns calibration of advanced stock price models, in particular the Bates and NIG-CIR models, using options data observed through bid-ask spreads. READ MORE