Results 81 to 90 of about 65,379 (309)
Accelerating Power Methods for Higher-order Markov Chains [PDF]
, 2020 Gaohang Yu, Yi Zhou, Laishui Lv
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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
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Business Strategy and the Environment, EarlyView.ABSTRACT The pressure on corporations to contribute to sustainable development is increasing. It is widely recognised that the sustainable development goals and deadlines cannot be achieved without the support of incumbent firms. Business model innovation (BMI) is identified as a means for businesses to contribute to sustainable development.
Mercy Masaeli +3 more
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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
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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
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, 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.
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The Canadian Journal of Chemical Engineering, EarlyView.Abstract Identification of firefighting strategies (i.e., which endangered units to suppress or cool first) in chemical and process plants falls under the domain of multi‐objective decision‐making (MODM), where not only the safety and integrity of the affected process plant but also the safety of on‐site and off‐site vulnerable targets matter.
Sina Khakzad, Nima Khakzad
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Adaptive measurement filter: efficient strategy for optimal estimation of quantum Markov chains [PDF]
, 2022 Alfred Godley, Mădălin Guţǎ
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Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
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