Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams. [PDF]
Morsomme R +6 more
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Adaptive emergency response and dynamic crowd navigation for mobile robot using deep reinforcement learning. [PDF]
Alexander A +4 more
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Towards a mathematical framework for modelling cell fate dynamics. [PDF]
Vittadello ST +4 more
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A spatially-dependent fragmentation process. [PDF]
Callegaro A, Roberts MI.
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Robustness and exploration between the interplay of the nonlinear co-dynamics HIV/AIDS and pneumonia model via fractional differential operators and a probabilistic approach. [PDF]
Rashid S +5 more
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Subgeometric hypocoercivity for piecewise-deterministic Markov process Monte Carlo methods [PDF]
We extend the hypocoercivity framework for piecewise-deterministic Markov process (PDMP) Monte Carlo established in [Andrieu et. al. (2018)] to heavy-tailed target distributions, which exhibit subgeometric rates of convergence to equilibrium. We make use
Christophe Andrieu, Paul Dobson
exaly +2 more sources
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Stability and Ergodicity of Piecewise Deterministic Markov Processes
SIAM Journal on Control and Optimization, 2008The main goal of this paper is to establish some equivalence results on stability, recurrence, and ergodicity between a piecewise deterministic Markov process (PDMP) $\{X(t)\}$ and an embedded discrete-time Markov chain $\{\Theta_{n}\}$ generated by a Markov kernel $G$ that can be explicitly characterized in terms of the three local characteristics of ...
O L V Costa, F Dufour
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Stability of Piecewise-Deterministic Markov Processes
SIAM Journal on Control and Optimization, 1999Summary: We study a form of stability for a general family of nondiffusion Markov processes known in the literature as piecewise-deterministic Markov processes (PDMP). By stability here we mean the existence of an invariant probability measure for the PDMP.
F Dufour, O L V Costa
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Optimal strategies for impulse control of piecewise deterministic Markov processes
International audienceThis paper deals with the general discounted impulse control problem of a piecewisedeterministic Markov process. We investigate a new family of ǫ-optimal strategies.
Benoite De Saporta, F Dufour
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