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- Elsevier Science 2005; US$ 73.95
Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come either as random forces/sources, or advecting velocities, or media (material) parameters, like refraction index, conductivity, diffusivity, etc. The well known example of Brownian particle suspended in fluid and subjected to random molecular bombardment... more...
- Springer-Verlag New York Inc 2006; US$ 139.00
Presents an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. This book covers dynamic programming for deterministic optimal control problems, as well as to the corresponding theory of viscosity solutions. more...
- Springer-Verlag New York Inc 2006; US$ 169.00
Spatial point processes are complex stochastic models that describe the locations of "interesting" events, and (possibly) some information about each event. This book is focused on case studies. more...
- Springer-Verlag New York Inc 2006; US$ 129.00
Devoted to the study and optimization of spatiotemporal stochastic processes, that is, processes which develop simultaneously in space and time under random influences. The authors arrive at different levels of simplicity for the policy classes which encompass optimal or nearly optimal policies. more...
- Springer-Verlag New York Inc 2006; US$ 159.00
Contains 16 research articles and presents the pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. This book is intended for people working in the aforementioned fields. more...
- De Gruyter 2004; US$ 307.00
Recent developments show that probability methods have become a very powerful tool in such different areas as statistical physics, dynamical systems, Riemannian geometry, group theory, harmonic analysis, graph theory and computer science. This volume is an outcome of the special semester 2001 - Random Walks held at the Schrödinger Institute in Vienna,... more...
- Springer 2006; US$ 179.00
The past years have seen powerful computational tools for modeling which combine a Bayesian approach with Monte simulation techniques based on Markov chains. This book reviews these techniques and covers advances in the field. It also offers a presentation of the Bayesian perspective of finite mixture modelling. more...
- Springer 2007; US$ 139.00
Dynamical systems with random influences occur throughout the physical, biological, and social sciences. By carefully studying a randomly varying system over a small time interval, a discrete stochastic process model can be constructed. Next, letting the time interval shrink to zero, an Ito stochastic differential equation model for the dynamical system... more...
- Springer 2007; US$ 149.00
The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and numerous successful applications of the AIC have been reported in various fields of natural sciences, social sciences and engineering. One of the main objectives of this book is... more...
- Springer 2005; US$ 169.00
Sets out the basic theory of random measures and point processes. This volume covers the topics of: limit theorems, ergodic theory, Palm theory, and evolutionary behaviour via martingales and conditional intensity. It also includes discussions of marked point processes, convergence to equilibrium, and the structure of spatial point processes. more...