Results 61 to 70 of about 13,577 (270)
PReMo: an analyzer for Probabilistic Recursive Models [PDF]
, 2007 This paper describes PReMo, a tool for analyzing Recursive Markov Chains, and their controlled/game extensions: (1-exit) Recursive Markov Decision Processes and Recursive Simple Stochastic ...
Dominik Wojtczak +3 more
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Discounted semi-Markov decision processes : linear programming and policy iteration [PDF]
, 1974 For semi-Markov decision processes with discounted rewards we derive the well known results regarding the structure of optimal strategies (nonrandomized, stationary Markov strategies) and the standard algorithms (linear programming, policy iteration ...
van Nunen, J.A.E.E., Wessels, J.
core +1 more source
Global analysis suggests nitrogen deposition as an underestimated driver of vegetation greening
Ecography, EarlyView.The local effects of atmospheric nitrogen deposition on plants are well established, yet a global empirical analysis of nitrogen deposition effects on vegetation dynamics is missing. Here, we assess how nitrogen deposition, alongside other global change drivers such as fire, and changes in temperature, precipitation and human land use, is related to ...
Jonas Trepel +7 more
wiley +1 more source
The risk probability optimal problem for infinite discounted semi-Markov decision processes [PDF]
summary:This paper investigates the risk probability minimization problem for infinite horizon semi-Markov decision processes (SMDPs) with varying discount factors.
Wen, Xian, Cui, Jinhua, Huo, Haifeng
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A New Decision Support Framework for Managing Foot-and-mouth Disease Epidemics [PDF]
, 2014 Animal disease epidemics such as the foot-and-mouth disease (FMD) pose recurrent threat to countries with intensive livestock production. Efficient FMD control is crucial in limiting the damage of FMD epidemics and securing food production.
Mourits, Monique C. +7 more
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A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting
Journal of Forecasting, EarlyView.ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley +1 more source
Robust Markov Decision Processes [PDF]
Markov decision processes (MDPs) are powerful tools for decision making in uncertain dynamic environments. However, the solutions of MDPs are of limited practical use due to their sensitivity to distributional model parameters, which are typically ...
Berç Rustem +2 more
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Strong average optimality criterion for continuous-time Markov decision processes [PDF]
, 2014 summary:This paper deals with continuous-time Markov decision processes with the unbounded transition rates under the strong average cost criterion. The state and action spaces are Borel spaces, and the costs are allowed to be unbounded from above and ...
Chen, Xian, Wei, Qingda
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iMetaOmics, EarlyView.An integrative metagenomic framework combining sequence, structural, and functional inference reveals a phylogenetically diverse and structurally conserved repertoire of putative beta‐lactamases across Antarctic soil microbiomes, with predominance of class A and subclass B3 enzymes and limited but detectable associations with mobile genetic elements ...
José Coche‐Miranda +8 more
wiley +1 more source
Second Order Optimality in Markov and Semi-Markov Decision Processes [PDF]
, 2019 Semi-Markov decision processes can be considered as an extension of discrete- and continuous-time Markov reward models. Unfortunately, traditional optimality criteria as long-run average reward per time may be quite insufficient to characterize the ...
Sladký, Karel
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