Skip to search formSkip to main contentSkip to account menu

Markov property

Known as: Markov assumption, Markov-type property, Strong Markov property 
In probability theory and statistics, the term Markov property refers to the memoryless property of a stochastic process. It is named after the… 
Wikipedia (opens in a new tab)

Related topics

Related topics

28 relations
Brownian motionCausal Markov conditionConditional random fieldDirac delta function

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
Optimality of Myopic Sensing in Multi-Channel Opportunistic Access
We consider opportunistic communications over multiple channels where the state ("good" or "bad") of each channel evolves as… 
Highly Cited
2007
Highly Cited
2007
Infinite Horizon Risk Sensitive Control of Discrete Time Markov Processes under Minorization Property
Risk sensitive control of Markov processes satisfying the minorization property is studied using splitting techniques. Existence… 
Highly Cited
2005
Highly Cited
2005
Stochastic models for degradation-based reliability
This paper presents a degradation-based procedure for estimating the full and residual lifetime distribution of a single-unit… 
Highly Cited
2003
Highly Cited
2003
Multistate Markov models for disease progression with classification error
Summary. Many chronic diseases have a natural interpretation in terms of staged progression. Multistate models based on Markov… 
Highly Cited
1995
Highly Cited
1995
Applied Probability and Stochastic Processes
This book presents applied probability and stochastic processes in an elementary but mathematically precise manner, with numerous… 
Highly Cited
1994
Highly Cited
1994
Multiscale systems, Kalman filters, and Riccati equations
An algorithm analogous to the Rauch-Tung-Striebel algorithm/spl minus/consisting of a fine-to-coarse Kalman filter-like sweep… 
Highly Cited
1993
Highly Cited
1993
Multiscale representations of Markov random fields
A framework for multiscale stochastic modeling was introduced (K.C. Chou et al., 1989) based on coarse-to-fine scale-recursive… 
Highly Cited
1989
Highly Cited
1989
Functional equations in several variables: Subject index
Highly Cited
1984
Highly Cited
1984
The Randomization Technique as a Modeling Tool and Solution Procedure for Transient Markov Processes
We present a randomization procedure for computing transient solutions to discrete state space, continuous time Markov processes… 
Highly Cited
1964
Highly Cited
1964
An Analysis of Retransmission Systems
This paper presents an analysis of the throughput rate R and undetected block error rate ρ for each of three basic types of… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)