Results 271 to 280 of about 245,006 (326)

Stochastic Geometry

1993
Publisher Summary This chapter discusses stochastic geometry. Random points are the simplest random objects in geometry. They can be used in different ways, to generate a great variety of random geometrical objects, and they have applications in several domains—for instance, in statistics, computer geometry, and pattern analysis.
Weil, Wolfgang, Wieacker, John Andre
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Stochastic Geometry and Its Applications.

Journal of the American Statistical Association, 1988
23. Stochastic Geometry and its Applications. By D. Stoyan, W. S. Kendall and J. Mecke. ISBN 0 471 90519 4. Wiley, 1987. 345p. £23.50. (Wiley Series in Probability and Mathematical Statistics. A co‐production with Akademie‐Verlag, GDR.)
B. D. Ripley   +3 more
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Stochastic differential geometry

Russian Mathematical Surveys, 1983
The paper gives another exposition of what is now called ''Malliavin's stochastic calculus''. The approach is somewhat close to the Bismut's one. The results are extended to the case of diffusion processes on infinite dimensional smooth manifolds. This enables the author to construct certain quasi-invariant measures on infinite dimensional Lie groups ...
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Models of stochastic geometry ? A survey

ZOR Zeitschrift f� Operations Research Methods and Models of Operations Research, 1993
Summary: This paper discusses some models of stochastic geometry which are of potential interest for operations research. These are the Boolean model, a certain model for random compact sets and marked point processes. The Boolean model is a generalization of the well-known queueing system \(M/G/\infty\).
Günter Lippmann, Dietrich Stoyan
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Stochastic differential geometry: An introduction

Acta Applicandae Mathematicae, 1987
This is a survey on the relations between asymptotic properties of semi- martingales and, in particular, of Brownian motion on a Riemannian manifold on the one hand and curvature properties of the manifold on the other hand. Following a brief description of real-valued semimartingales and of some essentials of calculus on manifolds, an introduction to ...
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Stochastic Differential Geometry

2021
Semi-martingales, bilinear forms, pull-back, covariation process, semimartingale integral, connection, chain rule, differential operators and Christoffel symbols, martingale criteria, induced connections, affine and convex maps, geodesics and martingale criteria, local drift and diffusion rates, sub-manifolds and projection, diffusions, Riemannian ...
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