Buch, Englisch, 418 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 730 g
Reihe: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Likelihood and Computation
Buch, Englisch, 418 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 730 g
Reihe: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
ISBN: 978-0-8493-0396-8
Verlag: Taylor & Francis
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
Zielgruppe
Professional
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik Elementare Stochastik
- Mathematik | Informatik Mathematik Stochastik Stochastische Prozesse
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik Mathematik Geometrie
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
Weitere Infos & Material
Preface. Recent Developments in Stochastic Geometry and Stereology. Markov Chain Monte Carlo Techniques. Markov Chain Monte Carlo and Spatial Point Process. Topics in Voronoi and Johnson-Mehl Tessellations. Mathematical Morphology. Rates of Convergence of Markov Chains. Shape Theory. Random Sets: Results, Problems and Perspectives.
