Results 21 to 30 of about 101,818 (290)
Quasi-Exact Approximation of Hidden Markov Chain Filters [PDF]
SSRN Electronic Journal, 2009 This paper studies the application of exact simulation methods for multi-dimensional multiplicative noise stochastic differential equations to filtering. Stochastic differential equations with multiplicative noise naturally occur as Zakai equation in hidden Markov chain filtering.
Eckhard Platen, Renata Rendek
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Entropy rate of continuous-state hidden Markov chains [PDF]
, 2010 We prove that under mild positivity assumptions, the entropy rate of a continuous-state hidden Markov chain, observed when passing a finite-state Markov chain through a discrete-time continuous-output channel, is analytic as a function of the transition ...
Han, G, Marcus, B
core +2 more sources
Some limit properties for a hidden inhomogeneous Markov chain
Journal of Inequalities and Applications, 2018 This paper presents a general strong limit theorem for delayed sum of functions of random variables for a hidden time inhomogeneous Markov chain (HTIMC), and as corollaries, some strong laws of large numbers for HTIMC are established thereby.
Yun Dong, Fang-qing Ding, Qi-feng Yao
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Features requirement elicitation process for designing a chatbot application
IET Networks, EarlyView., 2022 This article seeks to assist the chatbot community by outlining the characteristics that a chatbot needs to possess and explaining how to create a chatbot for a bank. In order to determine which capabilities are most crucial to ending users, a study of a small sample of chatbot users was conducted.
Nurul Muizzah Johari +4 more
wiley +1 more source
Parsing social network survey data from hidden populations using stochastic context-free grammars. [PDF]
PLoS ONE, 2009 BACKGROUND:Human populations are structured by social networks, in which individuals tend to form relationships based on shared attributes. Certain attributes that are ambiguous, stigmatized or illegal can create a OhiddenO population, so-called because ...
Art F Y Poon +7 more
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Journal of King Saud University: Computer and Information Sciences, 2023 Hidden Markov chain (HMC) models have been widely used in unsupervised image segmentation. In these models, there is a double process; a hidden one noted X and an observed one, which is often one-dimensional, noted Y.
Abdelali Joumad +5 more
doaj +1 more source
, 2013 Consider a filtering process associated to a hidden Markov model with densities for which both the state space and the observation space are complete, separable, metric spaces.
Kaijser, Thomas
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Finite-State Markov-Chain Approximations: A Hidden Markov Approach
SSRN Electronic Journal, 2022 This paper proposes a novel finite-state Markov chain approximation method for Markov processes with continuous support, providing both an optimal grid and transition probability matrix. The method can be used for multivariate processes, as well as non-stationary processes such as those with a life-cycle component. The method is based on minimizing the
Eva F. Janssens, Sean McCrary
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Markov Chain Computation for Homogeneous and Non-homogeneous Data: MARCH 1.1 Users Guide
Journal of Statistical Software, 2001 MARCH is a free software for the computation of different types of Markovian models including homogeneous Markov Chains, Hidden Markov Models (HMMs) and Double Chain Markov Models (DCMMs). The main characteristic of this software is the implementation of
Andre Berchtold
doaj +1 more source
Mathematics, 2020 A Bayesian approach was developed, tested, and applied to model ordinal response data in monotone non-decreasing processes with measurement errors. An inhomogeneous hidden Markov model with continuous state-space was considered to incorporate measurement
Lizbeth Naranjo +2 more
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