Results 31 to 40 of about 123,412 (280)

A Semi-Markov Model with Geometric Renewal Processes

Methodology and Computing in Applied Probability, 2023
Abstract We consider a system modeled by a semi-Markov process where we include geometric renewal process for sojourn times. Pérez-Ocón and Torres-Castro first study this system [1]. In our work here we consider an extended state space for up and down times separately. This allows us to use the standard theory for semi-Markov processes in order
Zhang, Jingqi, Fouladirad, Mitra, Limnios, Nikolaos   +2 more
openaire   +4 more sources

Estimating Incentive and Welfare Effects of Non-Stationary Unemployment Benefits [PDF]

The distribution of unemployment duration in our equilibrium matching model with spell-dependent unemployment benefits displays a time-varying exit rate.
Andrey Launov, Klaus Wälde
core   +9 more sources

Structure and Randomness of Continuous-Time Discrete-Event Processes

, 2017
Loosely speaking, the Shannon entropy rate is used to gauge a stochastic process' intrinsic randomness; the statistical complexity gives the cost of predicting the process.
Crutchfield, J. P., Marzen, S. E.
core   +1 more source

The class of semi-Markov accumulation processes [PDF]

AIP Conference Proceedings, 2018
In this paper, we introduce a new accumulation process, the Semi-Markov Accumulation Process (SMAP). This class of processes extends the framework of continuous-time Markov Additive Processes (MAPs) by allowing the underlying environmental component to be a semi-Markov process instead of a Markov process.
Jean-Marie, Alain, Vatamidou, Eleni
openaire   +2 more sources

Dynamical fluctuations for semi-Markov processes

, 2009
We develop an Onsager-Machlup-type theory for nonequilibrium semi-Markov processes. Our main result is an exact large time asymptotics for the joint probability of the occupation times and the currents in the system, establishing some generic large ...
Andrieux D, Bram Wynants, Christian Maes, Dembo A, Derrida B, Ellis R S, Karel Netočný, Maes C, Maes C, Martin-Löf A, Montroll E W, Mott N F, Qian H, Varadhan S R S   +13 more
core   +1 more source

Research of reliability and efficiency of technological processes of mechanical assembly production on the basis of the common semi-Markov model

MATEC Web of Conferences, 2018
In the article a common semi-Markov mathematical model is considered that allows one to investigate the productivity and reliability of various technological processes of mechanical assembly production.
Rapatskiy Yuri, Zamorenov Mikhail, Kopp Vadim, Obzherin Yuri, Gusev Vladimir, Lipka Victoria   +5 more
doaj   +1 more source

Informational and Causal Architecture of Continuous-time Renewal and Hidden Semi-Markov Processes

, 2016
We introduce the minimal maximally predictive models ({\epsilon}-machines) of processes generated by certain hidden semi-Markov models. Their causal states are either hybrid discrete-continuous or continuous random variables and causal-state transitions ...
Crutchfield, James P., Marzen, Sarah E.
core   +2 more sources

Stress History Establishes a Transient Tolerant State That Shapes Antibiotic Survival Upon Resuscitation

Advanced Science, EarlyView.
High‐throughput single‐cell analysis of resuscitating bacteria reveals a starvation‐history‐dependent transiently tolerant subpopulation that survives β$\beta$‐lactam exposure by temporarily reducing growth. Distinct from classical persisters, these actively growing yet dynamically modulated cells dominate survival across clinically relevant antibiotic
Kieran Abbott, Georgeos Hardo, Ruizhe Li, Jack Bradley, Ashraf Zarkan, Somenath Bakshi   +5 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Asymptotic Expansions for Stationary Distributions of Perturbed Semi-Markov Processes

, 2016
New algorithms for computing of asymptotic expansions for stationary distributions of nonlinearly perturbed semi-Markov processes are presented. The algorithms are based on special techniques of sequential phase space reduction, which can be applied to ...
A. Hanen, A.F. Veinott Jr, A.N. Langville, B. Allen, B.D. Craven, B.L. Miller, B.N. Feinberg, C. Engström, C.D. Meyer, D. Blackwell, D.S. Kim, D.S. Silvestrov, D.S. Silvestrov, D.S. Silvestrov, D.S. Silvestrov, D.S. Silvestrov, E. Englund, E. Seneta, E. Seneta, F. Andersson, F. Chatelin, F. Delebecque, F. Grabski, G. Latouche, G. Yin, G.W. Stewart, H. Vantilborgh, H.A. Simon, I. Hanski, I. Marek, I. Marek, I.N. Kovalenko, I.N. Kovalenko, J. Janssen, J. Janssen, J.J. Hunter, J.J. Hunter, K. Avrachenkov, K.E. Avrachenkov, K.E. Avrachenkov, K.E. Avrachenkov, K.E. Avrachenkov, K.E. Avrachenkov, K.E. Avrachenkov, L. Takács, M. Abbad, M. Coderch, M. Gyllenberg, M. Gyllenberg, M. Gyllenberg, M. Gyllenberg, M. Haviv, M. Haviv, M. Haviv, M. Haviv, M. Haviv, M. Haviv, M. Petersson, M.V. Kartashov, P. Schweitzer, P.J. Courtois, P.J. Courtois, P.J. Schweitzer, P.J. Schweitzer, P.J. Schweitzer, P.J. Schweitzer, P.J. Schweitzer, P.V. Kokotović, R. Durrett, R. Hassin, R.G. Phillips, S.P. Meyn, U. Sumita, V.S. Koroliuk, V.S. Korolyuk, V.S. Korolyuk, V.S. Korolyuk, V.S. Korolyuk, V.V. Anisimov, W.K. Grassman, W.L. Cao, W.L. Smith, Y. Ni, Y. Ni, Z.A. Abadov   +84 more
core   +1 more source