Para-Markov chains and related non-local equations
Lorenzo Facciaroni, Costantino Ricciuti, Enrico Scalas, Bruno Toaldo

TL;DR
This paper introduces a new class of non-Markovian chains with dependent Mittag-Leffler waiting times, extending fractional Poisson processes and linking them to non-local equations with long memory effects.
Contribution
It defines non-Markovian chains with stochastically dependent Mittag-Leffler waiting times, broadening the scope beyond semi-Markov processes and exploring their connection to non-local equations.
Findings
Developed a new class of non-Markovian chains with dependent waiting times
Extended fractional Poisson process to include dependence in waiting times
Linked these processes to non-local equations with long memory tails
Abstract
There is a well established theory that links semi-Markov chains having Mittag-Leffler waiting times to time-fractional equations. We here go beyond the semi-Markov setting, by defining some non-Markovian chains whose waiting times, although marginally Mittag-Leffler, are assumed to be stochastically dependent. This creates a long memory tail in the evolution, unlike what happens for semi-Markov processes. As a special case of our chains, we study a particular counting process which extends the well-known fractional Poisson process, the last one having independent, Mittag-Leffler waiting times.
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Taxonomy
TopicsNeural Networks and Applications · Topological and Geometric Data Analysis · Markov Chains and Monte Carlo Methods
