Results 91 to 100 of about 1,363 (183)

Bayes-Adaptive Impulse Control of Piecewise-Deterministic Markov Processes

We introduce a Bayes-adaptive framework for controlling Piecewise-Deterministic Markov Processes (PDMPs) under partial observability and uncertain parameters.PDMPs form a class of continuous-time Markov processes that capture hybrid (discrete–continuous)
Vinyals, Meritxell, de Saporta, Benoîte, Rossini, Orlane, Cleynen, Alice, Sabbadin, Régis   +4 more
core  

Publication Only

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

Piecewise deterministic Markov process for condition-based imperfect maintenance models

, 2022
In this paper, a condition-based imperfect maintenance model based on piecewise deterministic Markov process (PDMP) is constructed. The degradation of the system includes two types: natural degradation and random shocks.
Wang, Weikai, Chen, Xian
core  

Reliability assessment of systems with dependent degradation processes based on Piecewise-Deterministic Markov process

, 2017
This chapter presents a reliability assessment framework for multi-component systems whose degradation processes are modeled by multi-state and physics-based models.
Yan-Fu Li, Li, Yan-Fu, Lin, Yan-Hui, Yan-Hui Lin, Zio, Enrico, Enrico Zio   +5 more
core   +1 more source

Piecewise deterministic Markov processes : an analytic approach

, 2013
The subject of this thesis, piecewise deterministic Markov processes, an analytic approach, is on the border between analysis and probability theory. Such processes can either be viewed as random perturbations of deterministic dynamical systems in an ...
Alkurdi, T.S.O.
core  

Persistent random walks, variable length Markov chains and piecewise deterministic Markov processes *

, 2013
International audienceA classical random walk (S t , t ∈ N) is defined by S t := t n=0 X n , where (X n) are i.i.d. When the increments (X n) n∈N are a one-order Markov chain, a short memory is introduced in the dynamics of (S t).
Chauvin, Brigitte, Cénac, Peggy, Herrmann, Samuel, Vallois, Pierre   +3 more
core  

Modelling of fatigue crack propagation using Piecewise Deterministic Markov Processes

, 2012
International audienceFatigue crack propagation is a stochastic phenomenon in nature due to the inherent uncertainties coming from material properties, environmental conditions and loads.
Puiggali, Monique, Gégout-Petit, Anne, Azaïs, Romain, Touzet-Cortina, Marie, Ben Abdessalem, Anis   +4 more
core   +1 more source

Zigzag path connects two Monte Carlo samplers: Hamiltonian counterpart to a piecewise deterministic Markov process. [PDF]

J Am Stat Assoc
Nishimura A, Zhang Z, Suchard MA.
europepmc   +1 more source

A Benchmark for Entropy Estimators. [PDF]

Entropy (Basel)
Calcagnile LM, Di Garbo A, Galatolo S.
europepmc   +1 more source

A hybrid framework for compartmental models enabling simulation-based inference. [PDF]

J Math Biol
Germano DPJ, Zarebski AE, Hautphenne S, Moss R, Flegg JA, Flegg MB.   +5 more
europepmc   +1 more source