June 18, 2021

Download Ebook Free Statistical Modelling Using Local Gaussian Approximation

Statistical Modelling using Local Gaussian Approximation

Statistical Modelling using Local Gaussian Approximation
Author : Dag Bjarne Tjostheim,Hakon Otneim,Bard Stove
Publisher : Academic Press
Release Date : 2021-11-15
Category : Business & Economics
Total pages :352
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Statistical Modeling using Local Gaussian Approximation extends powerful characteristics of the Gaussian distribution - perhaps the most well-known and most used distribution in statistics - to a large class of non-Gaussian and nonlinear situations through local approximation. This extension enables the reader to follow new methods in assessing conditional distribution functions, conditional mean functions and conditional quantile functions. Three R packages are integrated with the text, based on local Gaussian correlation, density and conditional density estimation, and local spectral analysis. The book is of particular relevance and interest to researchers in econometrics and financial econometrics. Reviews local dependence modelling with applications to time series and finance markets Introduces new techniques for density estimation, conditional density estimation and tests of conditional independence with applications in economics Evaluates local spectral analysis, discovering hidden frequencies in extremes and hidden phase differences Integrates textual content with three useful R packages

Statistical Modelling using Local Gaussian Approximation

Statistical Modelling using Local Gaussian Approximation
Author : Dag Bjarne Tjostheim,Hakon Otneim,Bard Stove
Publisher : Academic Press
Release Date : 2021-11-01
Category : Business & Economics
Total pages :352
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Statistical Modeling using Local Gaussian Approximation extends powerful characteristics of the Gaussian distribution – perhaps the most well-known and most used distribution in statistics – to a large class of non-Gaussian and nonlinear situations through local approximation. This extension enables the reader to follow new methods in assessing conditional distribution functions, conditional mean functions and conditional quantile functions. Three R packages are integrated with the text, based on local Gaussian correlation, density and conditional density estimation, and local spectral analysis. The book is of particular relevance and interest to researchers in econometrics and financial econometrics. Reviews local dependence modeling, with applications to time series and finance markets Introduces new techniques for density estimation, conditional density estimation, and tests of conditional independence with applications in economics Evaluates local spectral analysis, discovering hidden frequencies in extremes and hidden phase differences Integrates textual content with three useful R packages

Stochastic Models, Statistics and Their Applications

Stochastic Models, Statistics and Their Applications
Author : Ansgar Steland,Ewaryst Rafajłowicz,Krzysztof Szajowski
Publisher : Springer
Release Date : 2015-02-04
Category : Mathematics
Total pages :492
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This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic models in engineering. Stochastic models and related statistical procedures play an important part in furthering our understanding of the challenging problems currently arising in areas of application such as the natural sciences, information technology, engineering, image analysis, genetics, energy and finance, to name but a few. This collection arises from the 12th Workshop on Stochastic Models, Statistics and Their Applications, Wroclaw, Poland.

Biomedical Image Segmentation

Biomedical Image Segmentation
Author : Ayman El-Baz,Xiaoyi Jiang,Jasjit S. Suri
Publisher : CRC Press
Release Date : 2016-11-17
Category : Medical
Total pages :526
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As one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and diagnostic techniques. A large variety of different imaging techniques, each with its own physical principle and characteristics (e.g., noise modeling), often requires modality-specific algorithmic treatment. In recent years, substantial progress has been made to biomedical image segmentation. Biomedical image segmentation is characterized by several specific factors. This book presents an overview of the advanced segmentation algorithms and their applications.

Probabilistic Finite Element Model Updating Using Bayesian Statistics

Probabilistic Finite Element Model Updating Using Bayesian Statistics
Author : Tshilidzi Marwala,Ilyes Boulkaibet,Sondipon Adhikari
Publisher : John Wiley & Sons
Release Date : 2016-09-23
Category : Technology & Engineering
Total pages :248
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Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering Tshilidzi Marwala and Ilyes Boulkaibet, University of Johannesburg, South Africa Sondipon Adhikari, Swansea University, UK Covers the probabilistic finite element model based on Bayesian statistics with applications to aeronautical and mechanical engineering Finite element models are used widely to model the dynamic behaviour of many systems including in electrical, aerospace and mechanical engineering. The book covers probabilistic finite element model updating, achieved using Bayesian statistics. The Bayesian framework is employed to estimate the probabilistic finite element models which take into account of the uncertainties in the measurements and the modelling procedure. The Bayesian formulation achieves this by formulating the finite element model as the posterior distribution of the model given the measured data within the context of computational statistics and applies these in aeronautical and mechanical engineering. Probabilistic Finite Element Model Updating Using Bayesian Statistics contains simple explanations of computational statistical techniques such as Metropolis-Hastings Algorithm, Slice sampling, Markov Chain Monte Carlo method, hybrid Monte Carlo as well as Shadow Hybrid Monte Carlo and their relevance in engineering. Key features: Contains several contributions in the area of model updating using Bayesian techniques which are useful for graduate students. Explains in detail the use of Bayesian techniques to quantify uncertainties in mechanical structures as well as the use of Markov Chain Monte Carlo techniques to evaluate the Bayesian formulations. The book is essential reading for researchers, practitioners and students in mechanical and aerospace engineering.

Bayesian Statistics 7

Bayesian Statistics 7
Author : Dennis V. Lindley
Publisher : Oxford University Press
Release Date : 2003-07-03
Category : Mathematics
Total pages :750
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This volume contains the proceedings of the 7th Valencia International Meeting on Bayesian Statistics. This conference is held every four years and provides the main forum for researchers in the area of Bayesian statistics to come together to present and discuss frontier developments in the field.

Mathematical Reviews

Mathematical Reviews
Author : Anonim
Publisher : Unknown
Release Date : 2001
Category : Mathematics
Total pages :129
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AI Magazine

AI Magazine
Author : Anonim
Publisher : Unknown
Release Date : 2003
Category : Artificial intelligence
Total pages :129
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Bulletin

Bulletin
Author : Anonim
Publisher : Unknown
Release Date : 1996
Category :
Total pages :129
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Dissertation Abstracts International

Dissertation Abstracts International
Author : Anonim
Publisher : Unknown
Release Date : 2008
Category : Dissertations, Academic
Total pages :129
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Journal of the American Statistical Association

Journal of the American Statistical Association
Author : Anonim
Publisher : Unknown
Release Date : 2008
Category : Statistics
Total pages :129
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Mathematical Methods of Statistics

Mathematical Methods of Statistics
Author : Anonim
Publisher : Unknown
Release Date : 2002
Category : Mathematical statistics
Total pages :129
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Local Approximation Techniques in Signal and Image Processing

Local Approximation Techniques in Signal and Image Processing
Author : Vladimir Katkovnik,Vladimir I︠A︡kovlevich Katkovnik,Karen Egiazarian,Jaakko Astola
Publisher : SPIE-International Society for Optical Engineering
Release Date : 2006
Category : Computers
Total pages :553
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This book deals with a wide class of novel and efficient adaptive signal processing techniques developed to restore signals from noisy and degraded observations. These signals include those acquired from still or video cameras, electron microscopes, radar, X-rays, or ultrasound devices, and are used for various purposes, including entertainment, medical, business, industrial, military, civil, security, and scientific. In many cases useful information and high quality must be extracted from the imaging. However, often raw signals are not directly suitable for this purpose and must be processed in some way. Such processing is called signal reconstruction. This book is devoted to a recent and original approach to signal reconstruction based on combining two independent ideas: local polynomial approximation and the intersection of confidence interval rule.

Bulletin of the Novosibirsk Computing Center

Bulletin of the Novosibirsk Computing Center
Author : Anonim
Publisher : Unknown
Release Date : 1993
Category : Numerical analysis
Total pages :129
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Current Index to Statistics, Applications, Methods and Theory

Current Index to Statistics, Applications, Methods and Theory
Author : Anonim
Publisher : Unknown
Release Date : 1999
Category : Mathematical statistics
Total pages :129
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