Stochastic Models Statistical Methods And Algorithms In Image Analysis

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Stochastic Models, Statistical Methods, and Algorithms in Image Analysis

Piero Barone,Arnoldo Frigessi,Mauro Piccioni
Stochastic Models Statistical Methods and Algorithms in Image Analysis Book PDF

Author : Piero Barone,Arnoldo Frigessi,Mauro Piccioni
Publisher : Springer Science & Business Media
Page : 266 pages
File Size : 51,6 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461229209

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Stochastic Models, Statistical Methods, and Algorithms in Image Analysis by Piero Barone,Arnoldo Frigessi,Mauro Piccioni Pdf

This volume comprises a collection of papers by world- renowned experts on image analysis. The papers range from survey articles to research papers, and from theoretical topics such as simulated annealing through to applied image reconstruction. It covers applications as diverse as biomedicine, astronomy, and geophysics. As a result, any researcher working on image analysis will find this book provides an up-to-date overview of the field and in addition, the extensive bibliographies will make this a useful reference.

Stochastic Models, Statistical Methods, and Algorithms in Image Analysis

Piero Barone,Arnoldo Frigessi,Mauro Piccioni
Stochastic Models Statistical Methods and Algorithms in Image Analysis Book PDF

Author : Piero Barone,Arnoldo Frigessi,Mauro Piccioni
Publisher : Springer
Page : 258 pages
File Size : 49,9 Mb
Release : 1992-06-24
Category : Mathematics
ISBN : 0387978100

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Stochastic Models, Statistical Methods, and Algorithms in Image Analysis by Piero Barone,Arnoldo Frigessi,Mauro Piccioni Pdf

This volume comprises a collection of papers by world- renowned experts on image analysis. The papers range from survey articles to research papers, and from theoretical topics such as simulated annealing through to applied image reconstruction. It covers applications as diverse as biomedicine, astronomy, and geophysics. As a result, any researcher working on image analysis will find this book provides an up-to-date overview of the field and in addition, the extensive bibliographies will make this a useful reference.

Stochastic Models, Statistical Methods, and Algorithms in Image Analysis

Piero Barone,Arnoldo Frigessi,Mauro Piccioni
Stochastic Models Statistical Methods and Algorithms in Image Analysis Book PDF

Author : Piero Barone,Arnoldo Frigessi,Mauro Piccioni
Publisher : Unknown
Page : 268 pages
File Size : 41,8 Mb
Release : 1992-06-24
Category : Algorithms
ISBN : 1461229219

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Stochastic Models, Statistical Methods, and Algorithms in Image Analysis by Piero Barone,Arnoldo Frigessi,Mauro Piccioni Pdf

This volume comprises a collection of papers by world- renowned experts on image analysis. The papers range from survey articles to research papers, and from theoretical topics such as simulated annealing through to applied image reconstruction. It covers applications as diverse as biomedicine, astronomy, and geophysics. As a result, any researcher working on image analysis will find this book provides an up-to-date overview of the field and in addition, the extensive bibliographies will make this a useful reference.

Stochastic Models, Statistics and Their Applications

Ansgar Steland,Ewaryst Rafajłowicz,Ostap Okhrin
Stochastic Models Statistics and Their Applications Book PDF

Author : Ansgar Steland,Ewaryst Rafajłowicz,Ostap Okhrin
Publisher : Springer Nature
Page : 450 pages
File Size : 46,6 Mb
Release : 2019-10-15
Category : Mathematics
ISBN : 9783030286651

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Stochastic Models, Statistics and Their Applications by Ansgar Steland,Ewaryst Rafajłowicz,Ostap Okhrin Pdf

This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019. Addressing the needs of theoretical and applied researchers alike, the contributions provide an overview of the latest advances and trends in the areas of mathematical statistics and applied probability, and their applications to high-dimensional statistics, econometrics and time series analysis, statistics for stochastic processes, statistical machine learning, big data and data science, random matrix theory, quality control, change-point analysis and detection, finance, copulas, survival analysis and reliability, sequential experiments, empirical processes, and microsimulations. As the book demonstrates, stochastic models and related statistical procedures and algorithms are essential to more comprehensively understanding and solving present-day problems arising in e.g. the natural sciences, machine learning, data science, engineering, image analysis, genetics, econometrics and finance.

Image Analysis, Random Fields and Dynamic Monte Carlo Methods

Gerhard Winkler
Image Analysis Random Fields and Dynamic Monte Carlo Methods Book PDF

Author : Gerhard Winkler
Publisher : Springer Science & Business Media
Page : 321 pages
File Size : 51,8 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9783642975226

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Image Analysis, Random Fields and Dynamic Monte Carlo Methods by Gerhard Winkler Pdf

This text is concerned with a probabilistic approach to image analysis as initiated by U. GRENANDER, D. and S. GEMAN, B.R. HUNT and many others, and developed and popularized by D. and S. GEMAN in a paper from 1984. It formally adopts the Bayesian paradigm and therefore is referred to as 'Bayesian Image Analysis'. There has been considerable and still growing interest in prior models and, in particular, in discrete Markov random field methods. Whereas image analysis is replete with ad hoc techniques, Bayesian image analysis provides a general framework encompassing various problems from imaging. Among those are such 'classical' applications like restoration, edge detection, texture discrimination, motion analysis and tomographic reconstruction. The subject is rapidly developing and in the near future is likely to deal with high-level applications like object recognition. Fascinating experiments by Y. CHOW, U. GRENANDER and D.M. KEENAN (1987), (1990) strongly support this belief.

Stochastic Models, Statistics and Their Applications

Anonim
Stochastic Models Statistics and Their Applications Book PDF

Author : Anonim
Publisher : Unknown
Page : 449 pages
File Size : 45,5 Mb
Release : 2019
Category : Stochastic processes
ISBN : 3030286665

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Stochastic Models, Statistics and Their Applications by Anonim Pdf

This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019. Addressing the needs of theoretical and applied researchers alike, the contributions provide an overview of the latest advances and trends in the areas of mathematical statistics and applied probability, and their applications to high-dimensional statistics, econometrics and time series analysis, statistics for stochastic processes, statistical machine learning, big data and data science, random matrix theory, quality control, change-point analysis and detection, finance, copulas, survival analysis and reliability, sequential experiments, empirical processes, and microsimulations. As the book demonstrates, stochastic models and related statistical procedures and algorithms are essential to more comprehensively understanding and solving present-day problems arising in e.g. the natural sciences, machine learning, data science, engineering, image analysis, genetics, econometrics and finance.

Spatial Statistics and Digital Image Analysis

National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Board on Mathematical Sciences,Panel on Spatial Statistics and Image Processing
Spatial Statistics and Digital Image Analysis Book PDF

Author : National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Board on Mathematical Sciences,Panel on Spatial Statistics and Image Processing
Publisher : National Academies Press
Page : 257 pages
File Size : 40,6 Mb
Release : 1991-02-01
Category : Mathematics
ISBN : 9780309043762

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Spatial Statistics and Digital Image Analysis by National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Board on Mathematical Sciences,Panel on Spatial Statistics and Image Processing Pdf

Spatial statistics is one of the most rapidly growing areas of statistics, rife with fascinating research opportunities. Yet many statisticians are unaware of those opportunities, and most students in the United States are never exposed to any course work in spatial statistics. Written to be accessible to the nonspecialist, this volume surveys the applications of spatial statistics to a wide range of areas, including image analysis, geosciences, physical chemistry, and ecology. The book describes the contributions of the mathematical sciences, summarizes the current state of knowledge, and identifies directions for research.

Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis

György Terdik
Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis Book PDF

Author : György Terdik
Publisher : Springer Science & Business Media
Page : 275 pages
File Size : 50,8 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461215523

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Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis by György Terdik Pdf

The object of the present work is a systematic statistical analysis of bilinear processes in the frequency domain. The first two chapters are devoted to the basic theory of nonlinear functions of stationary Gaussian processes, Hermite polynomials, cumulants and higher order spectra, multiple Wiener-Itô integrals and finally chaotic Wiener-Itô spectral representation of subordinated processes. There are two chapters for general nonlinear time series problems.

Image Analysis, Random Fields and Markov Chain Monte Carlo Methods

Gerhard Winkler
Image Analysis Random Fields and Markov Chain Monte Carlo Methods Book PDF

Author : Gerhard Winkler
Publisher : Springer Science & Business Media
Page : 389 pages
File Size : 52,6 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9783642557606

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Image Analysis, Random Fields and Markov Chain Monte Carlo Methods by Gerhard Winkler Pdf

"This book is concerned with a probabilistic approach for image analysis, mostly from the Bayesian point of view, and the important Markov chain Monte Carlo methods commonly used....This book will be useful, especially to researchers with a strong background in probability and an interest in image analysis. The author has presented the theory with rigor...he doesn’t neglect applications, providing numerous examples of applications to illustrate the theory." -- MATHEMATICAL REVIEWS

Robust Statistics, Data Analysis, and Computer Intensive Methods

Helmut Rieder
Robust Statistics Data Analysis and Computer Intensive Methods Book PDF

Author : Helmut Rieder
Publisher : Springer Science & Business Media
Page : 439 pages
File Size : 40,6 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461223801

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Robust Statistics, Data Analysis, and Computer Intensive Methods by Helmut Rieder Pdf

To celebrate Peter Huber's 60th birthday in 1994, our university had invited for a festive occasion in the afternoon of Thursday, June 9. The invitation to honour this outstanding personality was followed by about fifty colleagues and former students from, mainly, allover the world. Others, who could not attend, sent their congratulations by mail and e-mail (P. Bickel:" ... It's hard to imagine that Peter turned 60 ... "). After a welcome address by Adalbert Kerber (dean), the following lectures were delivered. Volker Strassen (Konstanz): Almost Sure Primes and Cryptography -an Introduction Frank Hampel (Zurich): On the Philosophical Foundations of Statistics 1 Andreas Buja (Murray Hill): Projections and Sections High-Dimensional Graphics for Data Analysis. The distinguished speakers lauded Peter Huber a hard and fair mathematician, a cooperative and stimulating colleague, and an inspiring and helpful teacher. The Festkolloquium was surrounded with a musical program by the Univer 2 sity's Brass Ensemble. The subsequent Workshop "Robust Statistics, Data Analysis and Computer Intensive Methods" in Schloss Thurnau, Friday until Sunday, June 9-12, was organized about the areas in statistics that Peter Huber himself has markedly shaped. In the time since the conference, most of the contributions could be edited for this volume-a late birthday present-that may give a new impetus to further research in these fields.

Nonparametric Statistics for Stochastic Processes

Denis Bosq
Nonparametric Statistics for Stochastic Processes Book PDF

Author : Denis Bosq
Publisher : Springer Science & Business Media
Page : 181 pages
File Size : 51,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781468404890

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Nonparametric Statistics for Stochastic Processes by Denis Bosq Pdf

This book provides a mathematically rigorous treatment of the theory of nonparametric estimation and prediction for stochastic processes. It discusses discrete time and continuous time, and the emphasis is on the kernel methods. Several new results are presented concerning optimal and superoptimal convergence rates. How to implement the method is discussed in detail and several numerical results are presented. This book will be of interest to specialists in mathematical statistics and to those who wish to apply these methods to practical problems involving time series analysis.

Stochastic Population Models

James H. Matis,Thomas R. Kiffe
Stochastic Population Models Book PDF

Author : James H. Matis,Thomas R. Kiffe
Publisher : Springer Science & Business Media
Page : 215 pages
File Size : 55,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461212447

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Stochastic Population Models by James H. Matis,Thomas R. Kiffe Pdf

The book focuses on stochastic modeling of population processes. The book presents new symbolic mathematical software to develop practical methodological tools for stochastic population modeling. The book assumes calculus and some knowledge of mathematical modeling, including the use of differential equations and matrix algebra.

Modeling and Inverse Problems in Imaging Analysis

Bernard Chalmond
Modeling and Inverse Problems in Imaging Analysis Book PDF

Author : Bernard Chalmond
Publisher : Springer Science & Business Media
Page : 322 pages
File Size : 45,8 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9780387216621

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Modeling and Inverse Problems in Imaging Analysis by Bernard Chalmond Pdf

More mathematicians have been taking part in the development of digital image processing as a science and the contributions are reflected in the increasingly important role modeling has played solving complex problems. This book is mostly concerned with energy-based models. Most of these models come from industrial projects in which the author was involved in robot vision and radiography: tracking 3D lines, radiographic image processing, 3D reconstruction and tomography, matching, deformation learning. Numerous graphical illustrations accompany the text.

Stochastic Processes and Orthogonal Polynomials

Wim Schoutens
Stochastic Processes and Orthogonal Polynomials Book PDF

Author : Wim Schoutens
Publisher : Springer Science & Business Media
Page : 170 pages
File Size : 54,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461211709

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Stochastic Processes and Orthogonal Polynomials by Wim Schoutens Pdf

The book offers an accessible reference for researchers in the probability, statistics and special functions communities. It gives a variety of interdisciplinary relations between the two main ingredients of stochastic processes and orthogonal polynomials. It covers topics like time dependent and asymptotic analysis for birth-death processes and diffusions, martingale relations for Lévy processes, stochastic integrals and Stein's approximation method. Almost all well-known orthogonal polynomials, which are brought together in the so-called Askey Scheme, come into play. This volume clearly illustrates the powerful mathematical role of orthogonal polynomials in the analysis of stochastic processes and is made accessible for all mathematicians with a basic background in probability theory and mathematical analysis. Wim Schoutens is a Postdoctoral Researcher of the Fund for Scientific Research-Flanders (Belgium). He received his PhD in Science from the Catholic University of Leuven, Belgium.

Random Sums and Branching Stochastic Processes

Ibrahim Rahimov
Random Sums and Branching Stochastic Processes Book PDF

Author : Ibrahim Rahimov
Publisher : Springer Science & Business Media
Page : 207 pages
File Size : 48,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461242161

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Random Sums and Branching Stochastic Processes by Ibrahim Rahimov Pdf

The aim of this monograph is to show how random sums (that is, the summation of a random number of dependent random variables) may be used to analyse the behaviour of branching stochastic processes. The author shows how these techniques may yield insight and new results when applied to a wide range of branching processes. In particular, processes with reproduction-dependent and non-stationary immigration may be analysed quite simply from this perspective. On the other hand some new characterizations of the branching process without immigration dealing with its genealogical tree can be studied. Readers are assumed to have a firm grounding in probability and stochastic processes, but otherwise this account is self-contained. As a result, researchers and graduate students tackling problems in this area will find this makes a useful contribution to their work.