Results 41 to 50 of about 1,700,282 (240)
Interpretation and Gas Distribution Net Threat Attack Markov models [PDF]
E3S Web of Conferences, 2020 This paper will focus on mathematical models to reduce the possibility of gas distribution net threat attacks, in order to avoid environmental damage caused by the siphoning off gas. These models are based on Markov models and theory of graphs.
Syrovatsky Oleg
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Hoeffding's inequality for non-irreducible Markov models [PDF]
arXiv, 2021 In this article, we establish Hoeffding's inequality for bounded Lipschitz functions of a class of not necessarily irreducible Markov models. The result complements the existing literature on this topic where Hoeffding's inequality for bounded measurable functions of a class of irreducible Markov models has been considered. Our approach is based on the
arxiv
Continuous-Time Higher Order Markov Chains: Formulation and Parameter Estimation [PDF]
arXiv, 2021 Stochastic processes find applications in modelling systems in a variety of disciplines. A large number of stochastic models considered are Markovian in nature. It is often observed that higher order Markov processes can model the data better. However most higher order Markov models are discrete.
arxiv
Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics -, 1999 This paper presents a new approach to partial parsing of context-free structures. The approach is based on Markov Models. Each layer of the resulting structure is represented by its own Markov Model, and output of a lower layer is passed as input to the next higher layer. An empirical evaluation of the method yields very good results for NP/PP chunking
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State Re-union Maintainability for Semi-Markov Models in Manpower Planning [PDF]
arXiv, 2023 In previous research the importance of both Markov and semi-Markov models in manpower planning is highlighted. Maintainability of population structures for different types of personnel strategies (i.e. under control by promotion and control by recruitment) were extensively investigated for various types of Markov models (homogeneous as well as non ...
arxiv
Markov Models of Molecular Kinetics [PDF]
The Journal of Chemical Physics, 2013 The Journal of Chemical Physics (JCP) article collection on Markov Models of Molecular Kinetics (MMMK) features recent advances developing and using Markov State Models (MSMs) in atomistic molecular simulations and related applications. This editorial provides a brief overview of the state of the art in the field and relates it to the articles in this ...
Frank Noé, Edina Rosta
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Comparison of Langevin and Markov channel noise models for neuronal signal generation
, 2009 The stochastic opening and closing of voltage-gated ion channels produces noise in neurons. The effect of this noise on the neuronal performance has been modelled using either approximate or Langevin model, based on stochastic differential equations or ...
A. L. Hodgkin +15 more
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Sampling and Filtering with Markov Chains [PDF]
arXiv, 2023 A continuous-time Markov chain rate change formula for simulation, model selection, filtering and theory is proven. It is used to develop Markov chain importance sampling, rejection sampling, branching particle filtering algorithms and filtering equations akin to the Duncan-Mortensen-Zakai equation and the Fujisaki-Kallianpur-Kunita equation but for ...
arxiv
Frontiers in Pharmacology, 2022 Objective: Pembrolizumab plus chemotherapy is recommended as the first-line treatment for advanced oesophageal cancer. The objective of this study is to evaluate the cost-effectiveness of pembrolizumab plus chemotherapy as first-line therapy for advanced
Meiyu Wu +16 more
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Markov Models in health care [PDF]
Einstein (São Paulo), 2010 ABSTRACT Markov Chains provide support for problems involving decision on uncertainties through a continuous period of time. The greater availability and access to processing power through computers allow that these models can be used more often to represent clinical structures. Markov models consider the patients in a discrete state of health, and the
Sato, Renato Cesar +1 more
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