Recursive estimation of a discrete-time Markov chain

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Discrete Time Markov Chain (DTMC)

A. A stochastic process is a collection of random variables {X t , t ∈ T }. B. A sample path or realization of a stochastic process is the collection of values assumed by the random variables in one realization of the random process, e.g. C. The state space is the collection of all possible values the random variables can take on, i.e. it is the sample space of the random variables. For example...

متن کامل

Arrival probability in the stochastic networks with an established discrete time Markov chain

The probable lack of some arcs and nodes in the stochastic networks is considered in this paper, and its effect is shown as the arrival probability from a given source node to a given sink node. A discrete time Markov chain with an absorbing state is established in a directed acyclic network. Then, the probability of transition from the initial state to the absorbing state is computed. It is as...

متن کامل

Recursive Smoothers for Hidden Discrete-time Markov Chains

Hidden Markov chains have been the subject of extensive studies, see the books [1, 2] and the references therein. Of particular interest are the discret-time, finite-state hidden Markov models. In this paper, using the same techniques as in [3], we propose results that improve the finite-dimensional smoothers of functionals of a partially observed discrete-time Markov chain. The model itself ex...

متن کامل

Efficient Continuous-Time Markov Chain Estimation

Many problems of practical interest rely on Continuous-time Markov chains (CTMCs) defined over combinatorial state spaces, rendering the computation of transition probabilities, and hence probabilistic inference, difficult or impossible with existing methods. For problems with countably infinite states, where classical methods such as matrix exponentiation are not applicable, the main alternati...

متن کامل

Recursive Markov Chain as a Stochastic Grammar

A grammar network that resembles the RTN, but takes the topology of Markov Model is introduced. This new grammar model captures the linguistic patterns from the stochastic process of the patterns. The linguistic patterns may be derived with minimal human involvement. When grammar is viewed in Markov process, we are given a rich set of tools that can be applied to the analysis and generation of ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Mathematical and Computer Modelling

سال: 1993

ISSN: 0895-7177

DOI: 10.1016/0895-7177(93)90145-o