Results 101 to 110 of about 193,674 (278)
Imprecise continuous-time Markov chains : efficient computational methods with guaranteed error bounds [PDF]
, 2017 Imprecise continuous-time Markov chains are a robust type of continuous-time Markov chains that allow for partially specified time-dependent parameters. Computing inferences for them requires the solution of a non-linear differential equation.
De Bock, Jasper, Erreygers, Alexander
core +1 more source
Continual decision‐making dynamics across biological organisms
Biological Reviews, EarlyView.ABSTRACT Decision‐making is a central function of adaptive behaviour in biological agents. However, strategies for adaptive decision‐making can vary substantially across species. Here, we aim to extend the comparative scope of decision‐making analyses to phylogenetically diverse organisms.
Liberty Severs, Qiuran Wang
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner +6 more
wiley +1 more source
Journal of Statistical Software, 2016 Markov chains are well-established probabilistic models of a wide variety of real systems that evolve along time. Countless examples of applications of Markov chains that successfully capture the probabilistic nature of real problems include areas as ...
Pablo J. Villacorta, José L. Verdegay
doaj +1 more source
PReMo : An Analyzer for P robabilistic Re cursive Mo dels [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 ...
Etessami, Kousha, Wojtczak, Dominik
core +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This article contributes to sustainability research by investigating the complex, geopolitically induced challenges faced by industrial supply chains under international sanctions. Using Iran's steel industry as a case, it examines sustainability barriers through the lens of stakeholder theory. A mixed methods approach was employed.
Seyed Hamed Moosavirad +2 more
wiley +1 more source
Non-homogeneous Markov chains with a finite state space and a Doeblin type theorem
International Journal of Mathematics and Mathematical Sciences, 1995 Doeblin [1] considered some classes of finite state nonhomogeneous Markov chains and studied their asymptotic behavior. Later Cohn [2] considered another class of such Markov chains (not covered earlier) and obtained Doeblin type results.
Rita Chattopadhyay
doaj +1 more source
Bounds on expected coupling times in Markov chains [PDF]
, 2008 In the author’s paper “Coupling and Mixing Times in Markov Chains” (RLIMS, 11, 1- 22, 2007) it was shown that it is very difficult to find explicit expressions for the expected time to coupling in a general Markov chain. In this paper simple upper and
Hunter, Jeffrey J.
core
, 2022 A Markov chain or Markov process is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event.
openaire +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT As sustainability transitions accelerate, firms increasingly engage in innovation ecosystems to pursue disruptive sustainable innovation (DSI). Nevertheless, empirical understanding regarding how innovation ecosystem coopetition—simultaneous cooperation and competition among interdependent actors—translates into sustainability‐oriented ...
Jin‐Sup Jung, Min‐Jae Lee
wiley +1 more source