Results 21 to 30 of about 3,223,623 (259)
ARL Estimation of the Control Chart of Log Likelihood Ratios’ Sum for Markov Sequence
Journal of Mathematics, 2021 To evaluate the surveillance performance of a control chart with the charting statistic of the sum of log likelihood ratios in the statistical process control (SPC), in this paper, we give the proof procedure based on Markov chains for the asymptotic ...
Yi Guo, Lei Gao, Yan Zhu
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Estimation of Generalized Inverted Exponential Distribution under Generalized Hybrid Censoring Scheme [PDF]
Maǧallaẗ Al-Buḥūṯ Al-TiǧāriyyaẗIn this paper, we consider the estimation of the parameters of the generalized inverted exponential distribution when data are generalized hybrid type-I censored samples.
بسمه خالد عبدالعزيز محمد شريف +2 more
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Fisher information of correlated stochastic processes
New Journal of Physics, 2023 Many real-world tasks include some kind of parameter estimation, i.e. the determination of a parameter encoded in a probability distribution. Often, such probability distributions arise from stochastic processes.
Marco Radaelli +3 more
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Compositional Approximate Markov Chain Aggregation for PEPA Models [PDF]
, 2012 Approximate Markov chain aggregation involves the construction of a smaller Markov chain that approximates the behaviour of a given chain. We discuss two different approaches to obtain a nearly optimal partition of the state-space, based on different ...
Dimitrios Milios +3 more
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Robust Massively Parallel Dynamic State Estimation of Power Systems Against Cyber-Attack
IEEE Access, 2018 The evolution of traditional energy networks toward smart grids increases security vulnerabilities in the power system infrastructure. State estimation plays an essential role in the efficient and reliable operation of power systems, so its security is a
Hadis Karimipour, Venkata Dinavahi
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Bayesian inference for dynamical systems
Infectious Disease Modelling, 2020 Bayesian inference is a common method for conducting parameter estimation for dynamical systems. Despite the prevalent use of Bayesian inference for performing parameter estimation for dynamical systems, there is a need for a formalized and detailed ...
Weston C. Roda
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Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computation [PDF]
, 2014 Approximate Bayesian computation has emerged as a standard computational tool when dealing with intractable likelihood functions in Bayesian inference. We show that many common Markov chain Monte Carlo kernels used to facilitate inference in this setting
Łatuszyński, Krzysztof, Lee, Anthony
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Complexity, 2021 This paper is concerned with the estimation of the Weibull generalized exponential distribution (WGED) parameters based on the adaptive Type-II progressive (ATIIP) censored sample.
Hisham M. Almongy +5 more
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Fast motion estimation in multi-view video coding
Tongxin xuebao, 2011 To improve the speed of motion estimation in multi-view video coding system,a fast motion estimation algo-rithm based on Markov chain model was proposed.This algorithm established a predicted motion vector set by making full use of the correlation ...
ZHAO Zhi-jie +4 more
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Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source