Author: University of Minnesota. Institute for Mathematics and Its ApplicationsPublisher:
ISBN:
Category :
Languages : en
Pages : 20
Book Description
On the Large Deviation Functions of Markov Chains
Author: University of Minnesota. Institute for Mathematics and Its ApplicationsPublisher:
ISBN:
Category :
Languages : en
Pages : 20
Book Description
Large Deviations for Additive Functionals of Markov Chains
Author: Alejandro D. de AcostaPublisher: American Mathematical Soc.
ISBN: 0821890891
Category : Mathematics
Languages : en
Pages : 120
Book Description
Large Deviations for Markov Chains
Author: Alejandro D. de AcostaPublisher:
ISBN: 1009063359
Category : Mathematics
Languages : en
Pages : 264
Book Description
This book studies the large deviations for empirical measures and vector-valued additive functionals of Markov chains with general state space. Under suitable recurrence conditions, the ergodic theorem for additive functionals of a Markov chain asserts the almost sure convergence of the averages of a real or vector-valued function of the chain to the mean of the function with respect to the invariant distribution. In the case of empirical measures, the ergodic theorem states the almost sure convergence in a suitable sense to the invariant distribution. The large deviation theorems provide precise asymptotic estimates at logarithmic level of the probabilities of deviating from the preponderant behavior asserted by the ergodic theorems.
Large Deviations
Author: S. R. S. VaradhanPublisher: American Mathematical Soc.
ISBN: 082184086X
Category : Mathematics
Languages : en
Pages : 114
Book Description
The theory of large deviations deals with rates at which probabilities of certain events decay as a natural parameter in the problem varies. This book, which is based on a graduate course on large deviations at the Courant Institute, focuses on three concrete sets of examples: (i) diffusions with small noise and the exit problem, (ii) large time behavior of Markov processes and their connection to the Feynman-Kac formula and the related large deviation behavior of the number of distinct sites visited by a random walk, and (iii) interacting particle systems, their scaling limits, and large deviations from their expected limits. For the most part the examples are worked out in detail, and in the process the subject of large deviations is developed. The book will give the reader a flavor of how large deviation theory can help in problems that are not posed directly in terms of large deviations. The reader is assumed to have some familiarity with probability, Markov processes, and interacting particle systems.
Large Deviations and Applications
Author: S. R. S. VaradhanPublisher: SIAM
ISBN: 0898711894
Category : Mathematics
Languages : en
Pages : 74
Book Description
Many situations exist in which solutions to problems are represented as function space integrals. Such representations can be used to study the qualitative properties of the solutions and to evaluate them numerically using Monte Carlo methods. The emphasis in this book is on the behavior of solutions in special situations when certain parameters get large or small.
Large Deviations for Stochastic Processes
Author: Jin FengPublisher: American Mathematical Soc.
ISBN: 0821841459
Category : Mathematics
Languages : en
Pages : 426
Book Description
The book is devoted to the results on large deviations for a class of stochastic processes. Following an introduction and overview, the material is presented in three parts. Part 1 gives necessary and sufficient conditions for exponential tightness that are analogous to conditions for tightness in the theory of weak convergence. Part 2 focuses on Markov processes in metric spaces. For a sequence of such processes, convergence of Fleming's logarithmically transformed nonlinear semigroups is shown to imply the large deviation principle in a manner analogous to the use of convergence of linear semigroups in weak convergence. Viscosity solution methods provide applicable conditions for the necessary convergence. Part 3 discusses methods for verifying the comparison principle for viscosity solutions and applies the general theory to obtain a variety of new and known results on large deviations for Markov processes. In examples concerning infinite dimensional state spaces, new comparison principles are de
Large Deviations
Author: Frank HollanderPublisher: American Mathematical Soc.
ISBN: 9780821844359
Category : Mathematics
Languages : en
Pages : 164
Book Description
Offers an introduction to large deviations. This book is divided into two parts: theory and applications. It presents basic large deviation theorems for i i d sequences, Markov sequences, and sequences with moderate dependence. It also includes an outline of general definitions and theorems.
Large Deviations for Stochastic Processes
Author: Jin FengPublisher: American Mathematical Soc.
ISBN: 1470418703
Category : Mathematics
Languages : en
Pages : 426
Book Description
The book is devoted to the results on large deviations for a class of stochastic processes. Following an introduction and overview, the material is presented in three parts. Part 1 gives necessary and sufficient conditions for exponential tightness that are analogous to conditions for tightness in the theory of weak convergence. Part 2 focuses on Markov processes in metric spaces. For a sequence of such processes, convergence of Fleming's logarithmically transformed nonlinear semigroups is shown to imply the large deviation principle in a manner analogous to the use of convergence of linear semigroups in weak convergence. Viscosity solution methods provide applicable conditions for the necessary convergence. Part 3 discusses methods for verifying the comparison principle for viscosity solutions and applies the general theory to obtain a variety of new and known results on large deviations for Markov processes. In examples concerning infinite dimensional state spaces, new comparison principles are derived for a class of Hamilton-Jacobi equations in Hilbert spaces and in spaces of probability measures.
Large Deviations for Discrete-Time Processes with Averaging
Author: O. V. GulinskyPublisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110917807
Category : Mathematics
Languages : en
Pages : 192
Book Description
No detailed description available for "Large Deviations for Discrete-Time Processes with Averaging".
An Introduction to the Theory of Large Deviations
Author: D.W. StroockPublisher: Springer Science & Business Media
ISBN: 1461385148
Category : Mathematics
Languages : en
Pages : 204
Book Description
These notes are based on a course which I gave during the academic year 1983-84 at the University of Colorado. My intention was to provide both my audience as well as myself with an introduction to the theory of 1arie deviations • The organization of sections 1) through 3) owes something to chance and a great deal to the excellent set of notes written by R. Azencott for the course which he gave in 1978 at Saint-Flour (cf. Springer Lecture Notes in Mathematics 774). To be more precise: it is chance that I was around N. Y. U. at the time'when M. Schilder wrote his thesis. and so it may be considered chance that I chose to use his result as a jumping off point; with only minor variations. everything else in these sections is taken from Azencott. In particular. section 3) is little more than a rewrite of his exoposition of the Cramer theory via the ideas of Bahadur and Zabel. Furthermore. the brief treatment which I have given to the Ventsel-Freidlin theory in section 4) is again based on Azencott's ideas. All in all. the biggest difference between his and my exposition of these topics is the language in which we have written. However. another major difference must be mentioned: his bibliography is extensive and constitutes a fine introduction to the available literature. mine shares neither of these attributes. Starting with section 5).