Search for dissertations about: "non-parametric smoothing"

Showing result 1 - 5 of 7 swedish dissertations containing the words non-parametric smoothing.

  1. 1. A Non-Stationary perspective on the European and Swedish Business Cycle

    Author : Louise Holm; Högskolan i Skövde; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Business cycles; business cycle dating; non-parametric smoothing; non-stationarity; recession prediction; interest rate spread; binary respons models; Business and economics; Ekonomi; Humanities and Social sciences; Humaniora-samhällsvetenskap; Business cycles; business cycle dating; non-parametric smoothing; non-stationarity; recession prediction; interest rate spread; binary response models.;

    Abstract : Business cycles, the ups and downs observed somewhat simultaneously in numerous macroeconomic variables in an economy and often measured using real GDP, are important and, despite much economic research, still incom- pletely understood. Dating the business cycle has always been of interest in macroeconomic research. READ MORE

  2. 2. Continuous-Time Models in Kernel Smoothing

    Author : Martin Sköld; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; deconvolution; errors-in-variables; continuous time; dependent data; bandwidth selection; asymptotic variance; Density estimation; kernel smoothing; size bias.; Mathematics; Matematik;

    Abstract : This thesis consists of five papers (Papers A-E) treating problems in non-parametric statistics, especially methods of kernel smoothing applied to density estimation for stochastic processes (Papers A-D) and regression analysis (Paper E). A recurrent theme is to, instead of treating highly positively correlated data as ``asymptotically independent'', take advantage of local dependence structures by using continuous-time models. READ MORE

  3. 3. Efficient Image Retrieval with Statistical Color Descriptors

    Author : Linh Viet Tran; Reiner Lenz; Björn Kruse; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; color properties; images; statistical; content-based image retrieval CBIR ; non-parametric density estimators; image database; Kernel; Gram-Schmidt; geometry-based; Information technology; Informationsteknologi;

    Abstract : Color has been widely used in content-based image retrieval (CBIR) applications. In such applications the color properties of an image are usually characterized by the probability distribution of the colors in the image. READ MORE

  4. 4. Advanced Spectral Analysis with Applications

    Author : Niclas Sandgren; Peter Stoica; Thomas L. Marzetta; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; frequency-selective spectral analysis; damped sinusoidal model; prior knowledge; multichannel spectroscopy; phantom experimental data; in-vivo in-vitro data analysis; area-selective analysis; cepstrum thresholding; total-variance reduction; two-dimensional spectral estimation; spectral smoothing; irregular sampling; CARMA signals; Signal processing; Signalbehandling;

    Abstract : Spectral analysis has advanced the last decades as a signal processing tool to extract significant information about certain properties of measured data. The practical use of spectral analysis techniques in time-series analysis has been emphasized in the immense amount of previous literature in the field and by a rapidly growing number of applications. READ MORE

  5. 5. Position Estimation in Uncertain Radio Environments and Trajectory Learning

    Author : Yuxin Zhao; Fredrik Gunnarsson; Fredrik Gustafsson; Carsten Fritsche; Henk Wymeersch; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : To infer the hidden states from the noisy observations and make predictions based on a set of input states and output observations are two challenging problems in many research areas. Examples of applications many include position estimation from various measurable radio signals in indoor environments, self-navigation for autonomous cars, modeling and predicting of the traffic flows, and flow pattern analysis for crowds of people. READ MORE