Continuous Time Markov Processes: An Introduction

By Thomas M. Liggett. 2010

240 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/29448ab556c63eaad21e16fc195a5370ed46145e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Yoann Dabrowski
2. Marek Tomasz Biskup

In Management Information Systems

1. Yoann Dabrowski
2. Marek Tomasz Biskup

In Management Science and Operations Research

1. Yoann Dabrowski
2. Marek Tomasz Biskup

Citations in the corpus

• A free stochastic partial differential equation (2010, methodology): “order to state a result, let us define a corresponding continuous time Markov chain to give a probabilistic counterpart to the stationarity of Xt, using usual results on Kolmogorov equations (cf. e.g. [25]). Notation 56. Given a countable group Γ and additive left cocycles with value in the left regu”
• Recent progress on the Random Conductance Model (2011, background): “We refer to, e.g., Liggett [95, Chapter 2] for a thorough discussion of such situations.”