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The Resource Complex data modeling and computationally intensive statistical methods, Pietro Mantovan (editor), Piercesare Secchi (editor)

Complex data modeling and computationally intensive statistical methods, Pietro Mantovan (editor), Piercesare Secchi (editor)

Contributor
Summary
The last years have seen the advent and development of many devices able to record and store an always increasing amount of complex and high dimensional data; 3D images generated by medical scanners or satellite remote sensing, DNA microarrays, real time financial data, system control datasets. The analysis of this data poses new challenging problems and requires the development of novel statistical models and computational methods, fueling many fascinating and fast growing research areas of modern statistics. The book offers a wide variety of statistical methods and is addressed to statisticians working at the forefront of statistical analysis. --
Language
eng
Work
Publication
Extent
1 online resource (x, 164 pages)
Contents
  • Cover
  • Preface
  • Table of Contents
  • List of Contributors
  • Space-Time Texture Analysis in Thermal Infraredimaging for Classification of Raynauds Phenomenon
  • 1 Introduction
  • 2 Thedata
  • 3 Processing Thermal High Resolution Infrared Images
  • 3.1 Segmentation
  • 3.2 Registration
  • 4 Feature Extraction
  • 4.1 St-Gmrfs
  • 4.2 Texture Statistics Through Co-Occurrence Matrices
  • 5 Classification Results
  • 6 Conclusions
  • References
  • Mixed-Effects Modelling of Kevlar Fibre Failure Timesthrough Bayesian Non-Parametrics
  • 1 Introduction
  • 2 Accelerated Life Models for Kevlar Fibre Life Data
  • 3 The Bayesian Semiparametric Aft Model
  • 4 Data Analysis
  • 5 Conclusions
  • Appendix
  • References
  • Space Filling and Locally Optimal Designs for Gaussian Universal Kriging
  • 1 Introduction
  • 2 Kriging Methodology
  • 3 Optimality of Space Filling Designs
  • 4 Locally Optimal Designs for Universal Kriging
  • 4.1 Optimal Designs for Estimation
  • 4.2 Optimal Designs for Prediction
  • 5 Conclusions
  • References
  • Exploitation, Integration and Statistical Analysis of Thepublic Health Database and Stemi Archive in Thelombardia Region
  • 1 Introduction
  • 2 The Momi2 Study
  • 3 The Stemi Archive
  • 4 The Public Health Database
  • 4.1 Healthcare Databases
  • 4.2 Health Information Systems in Lombardia
  • 5 The Statistical Perspective
  • 5.1 Frailty Models
  • 5.2 Generalised Linear Mixed Models
  • 5.3 Bayesian Hierarchical Models
  • 6 Conclusions
  • References
  • Bootstrap Algorithms for Variance Estimation in PsSampling
  • 1 Introduction
  • 2 The Na239;ve Boostrap
  • 3 Holmbergs PsBootstrap
  • 4 The 0.5 Ps-Bootstrap
  • 5 The X-Balanced Ps-Bootstrap
  • 6 Simulation Study
  • 7 Conclusions
  • References
  • Fast Bayesian Functional Data Analysis of Basal Body Temperature
  • 1 Introduction
  • 2 Methods
  • 2.1 Rvm in Linear Models
  • 2.2 Extension to Linear Mixed Model
  • 3 Results: Application to Bbt Data
  • 3.1 Subject-Specific Profiles
  • 3.2 Subject-Specific and Population Average Profiles
  • 3.3 Prediction
  • 4 Conclusions
  • References
  • A Parametric Markov Chain to Model Age- and State-Dependent Wear Processes
  • 1 Introduction
  • 2 System Description and Preliminary Technological Considerations
  • 3 Data Description and Preliminary Statistical Considerations
  • 4 Model Description
  • 5 Parameter Estimation
  • 6 Testing Dependence on Time and/or State
  • 7 Conclusions
  • References
  • Case Studies in Bayesian Computation Using Inla
  • 1 Introduction
  • 2 Latent Gaussian Models
  • 3 Integrated Nested Laplace Approximation
  • 4 The Inla Package for R
  • 5 Case Studies
  • 5.1 A Glmm With Over-Dispersion
  • 5.2 Childhood Under Nutrition in Zambia: Spatial Analysis
  • 5.3 A Simple Example of Survival Data Analysis
  • 6 Conclusions
  • References
  • A Graphical Models Approach for Comparing Gene Sets
  • 1 Introduction
  • 2 Latent Gaussian Models
  • 3 Integ
Isbn
9788847013865
Instance
Label
Complex data modeling and computationally intensive statistical methods
Title
Complex data modeling and computationally intensive statistical methods
Statement of responsibility
Pietro Mantovan (editor), Piercesare Secchi (editor)
Contributor
Subject
Language
eng
Summary
The last years have seen the advent and development of many devices able to record and store an always increasing amount of complex and high dimensional data; 3D images generated by medical scanners or satellite remote sensing, DNA microarrays, real time financial data, system control datasets. The analysis of this data poses new challenging problems and requires the development of novel statistical models and computational methods, fueling many fascinating and fast growing research areas of modern statistics. The book offers a wide variety of statistical methods and is addressed to statisticians working at the forefront of statistical analysis. --
Member of
Assigning source
Provided by publisher
Cataloging source
QE2
Dewey number
519.50285
Illustrations
illustrations
Index
no index present
Language note
English
LC call number
QA276.4
LC item number
.C66 2010
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Mantovan, Pietro
  • Secchi, Piercesare
Series statement
Contributions to statistics,
http://library.link/vocab/subjectName
  • Mathematical statistics
  • MATHEMATICS
  • Mathematical statistics
Label
Complex data modeling and computationally intensive statistical methods, Pietro Mantovan (editor), Piercesare Secchi (editor)
Instantiates
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Cover -- Preface -- Table of Contents -- List of Contributors -- Space-Time Texture Analysis in Thermal Infraredimaging for Classification of Raynauds Phenomenon -- 1 Introduction -- 2 Thedata -- 3 Processing Thermal High Resolution Infrared Images -- 3.1 Segmentation -- 3.2 Registration -- 4 Feature Extraction -- 4.1 St-Gmrfs -- 4.2 Texture Statistics Through Co-Occurrence Matrices -- 5 Classification Results -- 6 Conclusions -- References -- Mixed-Effects Modelling of Kevlar Fibre Failure Timesthrough Bayesian Non-Parametrics -- 1 Introduction -- 2 Accelerated Life Models for Kevlar Fibre Life Data -- 3 The Bayesian Semiparametric Aft Model -- 4 Data Analysis -- 5 Conclusions -- Appendix -- References -- Space Filling and Locally Optimal Designs for Gaussian Universal Kriging -- 1 Introduction -- 2 Kriging Methodology -- 3 Optimality of Space Filling Designs -- 4 Locally Optimal Designs for Universal Kriging -- 4.1 Optimal Designs for Estimation -- 4.2 Optimal Designs for Prediction -- 5 Conclusions -- References -- Exploitation, Integration and Statistical Analysis of Thepublic Health Database and Stemi Archive in Thelombardia Region -- 1 Introduction -- 2 The Momi2 Study -- 3 The Stemi Archive -- 4 The Public Health Database -- 4.1 Healthcare Databases -- 4.2 Health Information Systems in Lombardia -- 5 The Statistical Perspective -- 5.1 Frailty Models -- 5.2 Generalised Linear Mixed Models -- 5.3 Bayesian Hierarchical Models -- 6 Conclusions -- References -- Bootstrap Algorithms for Variance Estimation in PsSampling -- 1 Introduction -- 2 The Na239;ve Boostrap -- 3 Holmbergs PsBootstrap -- 4 The 0.5 Ps-Bootstrap -- 5 The X-Balanced Ps-Bootstrap -- 6 Simulation Study -- 7 Conclusions -- References -- Fast Bayesian Functional Data Analysis of Basal Body Temperature -- 1 Introduction -- 2 Methods -- 2.1 Rvm in Linear Models -- 2.2 Extension to Linear Mixed Model -- 3 Results: Application to Bbt Data -- 3.1 Subject-Specific Profiles -- 3.2 Subject-Specific and Population Average Profiles -- 3.3 Prediction -- 4 Conclusions -- References -- A Parametric Markov Chain to Model Age- and State-Dependent Wear Processes -- 1 Introduction -- 2 System Description and Preliminary Technological Considerations -- 3 Data Description and Preliminary Statistical Considerations -- 4 Model Description -- 5 Parameter Estimation -- 6 Testing Dependence on Time and/or State -- 7 Conclusions -- References -- Case Studies in Bayesian Computation Using Inla -- 1 Introduction -- 2 Latent Gaussian Models -- 3 Integrated Nested Laplace Approximation -- 4 The Inla Package for R -- 5 Case Studies -- 5.1 A Glmm With Over-Dispersion -- 5.2 Childhood Under Nutrition in Zambia: Spatial Analysis -- 5.3 A Simple Example of Survival Data Analysis -- 6 Conclusions -- References -- A Graphical Models Approach for Comparing Gene Sets -- 1 Introduction -- 2 Latent Gaussian Models -- 3 Integ
Control code
701368921
Dimensions
unknown
Extent
1 online resource (x, 164 pages)
Form of item
online
Isbn
9788847013865
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-88-470-1386-5
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
978-88-470-1385-8
Specific material designation
remote
System control number
(OCoLC)701368921
Label
Complex data modeling and computationally intensive statistical methods, Pietro Mantovan (editor), Piercesare Secchi (editor)
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Cover -- Preface -- Table of Contents -- List of Contributors -- Space-Time Texture Analysis in Thermal Infraredimaging for Classification of Raynauds Phenomenon -- 1 Introduction -- 2 Thedata -- 3 Processing Thermal High Resolution Infrared Images -- 3.1 Segmentation -- 3.2 Registration -- 4 Feature Extraction -- 4.1 St-Gmrfs -- 4.2 Texture Statistics Through Co-Occurrence Matrices -- 5 Classification Results -- 6 Conclusions -- References -- Mixed-Effects Modelling of Kevlar Fibre Failure Timesthrough Bayesian Non-Parametrics -- 1 Introduction -- 2 Accelerated Life Models for Kevlar Fibre Life Data -- 3 The Bayesian Semiparametric Aft Model -- 4 Data Analysis -- 5 Conclusions -- Appendix -- References -- Space Filling and Locally Optimal Designs for Gaussian Universal Kriging -- 1 Introduction -- 2 Kriging Methodology -- 3 Optimality of Space Filling Designs -- 4 Locally Optimal Designs for Universal Kriging -- 4.1 Optimal Designs for Estimation -- 4.2 Optimal Designs for Prediction -- 5 Conclusions -- References -- Exploitation, Integration and Statistical Analysis of Thepublic Health Database and Stemi Archive in Thelombardia Region -- 1 Introduction -- 2 The Momi2 Study -- 3 The Stemi Archive -- 4 The Public Health Database -- 4.1 Healthcare Databases -- 4.2 Health Information Systems in Lombardia -- 5 The Statistical Perspective -- 5.1 Frailty Models -- 5.2 Generalised Linear Mixed Models -- 5.3 Bayesian Hierarchical Models -- 6 Conclusions -- References -- Bootstrap Algorithms for Variance Estimation in PsSampling -- 1 Introduction -- 2 The Na239;ve Boostrap -- 3 Holmbergs PsBootstrap -- 4 The 0.5 Ps-Bootstrap -- 5 The X-Balanced Ps-Bootstrap -- 6 Simulation Study -- 7 Conclusions -- References -- Fast Bayesian Functional Data Analysis of Basal Body Temperature -- 1 Introduction -- 2 Methods -- 2.1 Rvm in Linear Models -- 2.2 Extension to Linear Mixed Model -- 3 Results: Application to Bbt Data -- 3.1 Subject-Specific Profiles -- 3.2 Subject-Specific and Population Average Profiles -- 3.3 Prediction -- 4 Conclusions -- References -- A Parametric Markov Chain to Model Age- and State-Dependent Wear Processes -- 1 Introduction -- 2 System Description and Preliminary Technological Considerations -- 3 Data Description and Preliminary Statistical Considerations -- 4 Model Description -- 5 Parameter Estimation -- 6 Testing Dependence on Time and/or State -- 7 Conclusions -- References -- Case Studies in Bayesian Computation Using Inla -- 1 Introduction -- 2 Latent Gaussian Models -- 3 Integrated Nested Laplace Approximation -- 4 The Inla Package for R -- 5 Case Studies -- 5.1 A Glmm With Over-Dispersion -- 5.2 Childhood Under Nutrition in Zambia: Spatial Analysis -- 5.3 A Simple Example of Survival Data Analysis -- 6 Conclusions -- References -- A Graphical Models Approach for Comparing Gene Sets -- 1 Introduction -- 2 Latent Gaussian Models -- 3 Integ
Control code
701368921
Dimensions
unknown
Extent
1 online resource (x, 164 pages)
Form of item
online
Isbn
9788847013865
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-88-470-1386-5
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
978-88-470-1385-8
Specific material designation
remote
System control number
(OCoLC)701368921

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