The Dynamics of Distributions in Continuous-Time Stochastic Models (a) Christian Bayer(a) and Klaus Wälde(b) WeierstraßInstitute Berlin and (b) Johannes-Gutenberg University Mainz1

First Page		Document Content
Date: 2015-11-27 06:04:16 Stochastic processes Markov chain FokkerPlanck equation Markov process Markov kernel Probability distribution Brownian motion It diffusion Bellman equation		The Dynamics of Distributions in Continuous-Time Stochastic Models (a) Christian Bayer(a) and Klaus Wälde(b) WeierstraßInstitute Berlin and (b) Johannes-Gutenberg University Mainz1 Add to Reading List Source URL: www.waelde.com Download Document from Source Website File Size: 335,03 KB Share Document on Facebook

	Process algebra and Markov processes The nature of synchronisation Equivalence relations Case study: active badges Summary From Markov to Milner and back: Stochastic process algebras Jane Hillston School of Informatics DocID: 1xVg5 - View Document
	Assisting Persons with Dementia during Handwashing Using a Partially Observable Markov Decision Process Jesse Hoey1 , Axel von Bertoldi2 , Pascal Poupart3 , and Alex Mihailidis2 1 DocID: 1uKbd - View Document
	QUASISTATIONARITY AND THE RELATIVE ENTROPY OF PROBABILITY MEASURES L.A. BREYER Abstract. Consider a Markov process X with finite lifetime. In this paper, we derive sufficient conditions for the convergence of the law of DocID: 1ulIa - View Document
	TASK The arrival of new customers is modeled in the following way. Let X_t be a continuous time Markov chain, which occupies state i at time 0. Conditional on all the future dynamics of X_t, process N_t is a Poisson proc DocID: 1ui2Z - View Document
	EE365: Markov Decision Problems Markov decision process Markov decision problem Examples DocID: 1tQAG - View Document