What are the conditions for the existence and uniqueness of a stationary distribution?

Consider a Markov process in the space of binary trees – a randomly changing ... This chain is used in a Markov chain Monte Carlo algorithm for phylogenetic ... Markov processes mathematically describe the mechanisms in the system, and predict the system's equilibrium behavior upon intervention, but do not support ... Mar 11, 2025 ... A Markov process with stationary transition probabilities may or may not be a stationary process in the sense of the preceding paragraph. If Y1, ... MPI delivers advanced portfolio analytics to help fund buyers make smarter, more informed decisions, while offering fund sellers deeper insight into the style, ... ... Markov-Process and Time Division Multiple Access (TDMA) protocol. A customized module to the controller only initializes the mapping when there are ... Dec 23, 2014 ... A continuous-time Markov process (CTMP) is a collection of variables indexed by a continuous quantity, time. It obeys the Markov property that ... behavior. Markov chains are a primary topic of study in the mathematical discipline of stochastic processes, where they have. A Weibull distribution based semi-Markov process model for urban bridge deterioration prediction was proposed in this paper. Oct 13, 2017 ... Here we suggest a method of modelling the cell cycle that restores the memoryless property to the system and is therefore consistent with simulation via the ... An increasingly popular method for fitting complex models, particularly with a hierchical structure involvese the use of Markov Chain Monte Carlo simulation ...