Statistical Inference and Simulation for Spatial Point Processes

Jesper Moller

ISBN 10: 1584882654 / ISBN 13: 9781584882657

Published by Taylor & Francis, Chapman And Hall/CRC, 2003

About this Item

Neuware - Spatial point processes play a fundamental role in spatial statistics and today they are an active area of research with many new applications. Although other published works address different aspects of spatial point processes, most of the classical literature deals only with nonparametric methods, and a thorough treatment of the theory and applications of simulation-based inference is difficult to find. Written by researchers at the top of the field, this book collects and unifies recent theoretical advances and examples of applications. The authors examine Markov chain Monte Carlo algorithms and explore one of the most important recent developments in MCMC: perfect simulation procedures.

Seller Inventory # 9781584882657

Bibliographic Details

• Title: Statistical Inference and Simulation for Spatial Point Processes
• Publisher: Taylor & Francis, Chapman And Hall/CRC
• Publication Date: 2003
• Language: English
• ISBN 10: 1584882654
• ISBN 13: 9781584882657
• Binding: Buch
• Condition: Neu
• Dimensions: 229W x 152H x 34D millimeters 229 millimeters width by 152 millimeters height by 34 millimeters depth
• Weight: 640 grams

About this title

Synopsis

Spatial point processes play a fundamental role in spatial statistics and today they are an active area of research with many new applications. Although other published works address different aspects of spatial point processes, most of the classical literature deals only with nonparametric methods, and a thorough treatment of the theory and applications of simulation-based inference is difficult to find. Written by researchers at the top of the field, this book collects and unifies recent theoretical advances and examples of applications. The authors examine Markov chain Monte Carlo algorithms and explore one of the most important recent developments in MCMC: perfect simulation procedures.

About the Author

Jesper Moller