Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible applications. Stochastic Geometry: Likelihood and Computation provides a coordinated collection of chapters on important aspects of the rapidly developing field of stochastic geometry, including: o a "crash-course" introduction to key stochastic geometry themes o considerations of geometric sampling bias issues o tesselations o shape o random sets o image analysis o spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo
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O.E. Barndorff-Nielsen Professor of Theoretical Statistics Institute of Mathematics Aarhus Denmark. W.S. Kendall Professor of Statistics University of Warwick UK and M.N.M. van Lieshout Centre for Science and Information (CWI) Amsterdam The Netherlands
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Hardcover. Condition: new. Hardcover. Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible applications. Stochastic Geometry: Likelihood and Computation provides a coordinated collection of chapters on important aspects of the rapidly developing field of stochastic geometry, including: o a "crash-course" introduction to key stochastic geometry themeso considerations of geometric sampling bias issueso tesselationso shapeo random setso image analysiso spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780849303968
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Hardcover. Condition: new. Hardcover. Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible applications. Stochastic Geometry: Likelihood and Computation provides a coordinated collection of chapters on important aspects of the rapidly developing field of stochastic geometry, including: o a "crash-course" introduction to key stochastic geometry themeso considerations of geometric sampling bias issueso tesselationso shapeo random setso image analysiso spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780849303968
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Condition: New. Stochastic geometry involves the study of random geometric structures. This work includes chapters on various aspects of stochastic geometry, including: an introduction to key stochastic geometry themes; tesselations; and the advances in likelihood-based inference available to stochastic geometry through the techniques of Markov chain Monte Carlo. Editor(s): Kendall, W. S.; Barndorff-Neilson, O.E.; Lieshout, M.N.M.Van. Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability. Num Pages: 408 pages, illustrations. BIC Classification: PBM; PBT; PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 166 x 242 x 30. Weight in Grams: 754. . 1998. 1st Edition. hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9780849303968
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Condition: New. Stochastic geometry involves the study of random geometric structures. This work includes chapters on various aspects of stochastic geometry, including: an introduction to key stochastic geometry themes; tesselations; and the advances in likelihood-based inference available to stochastic geometry through the techniques of Markov chain Monte Carlo. Editor(s): Kendall, W. S.; Barndorff-Neilson, O.E.; Lieshout, M.N.M.Van. Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability. Num Pages: 408 pages, illustrations. BIC Classification: PBM; PBT; PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 166 x 242 x 30. Weight in Grams: 754. . 1998. 1st Edition. hardcover. . . . . Seller Inventory # V9780849303968