Results 251 to 260 of about 10,800,365 (307)
Network meta-analysis with Bayesian approach using web-based application: Development and practice. [PDF]
Medicine (Baltimore)Kao WC, Wu AL, Chow JC.
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Modeling Peak Expiratory Flow in Patients With Asthma and Quantifying Treatment Effects Using a Mixed-Effects Hidden Markov Model. [PDF]
CPT Pharmacometrics Syst PharmacolJakobsson L +4 more
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Trajectory Landscapes for Therapeutic Strategy Design in Agent-Based Tumor Microenvironment Models. [PDF]
IEEE Control Syst LettCramer E, Heiser LM, Chang YH.
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State transitions and related factors of type 2 diabetes based on multi-state Markov model among a Chinese health check-up cohort. [PDF]
BMC Endocr DisordYang XJ +5 more
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Cost-effectiveness of pirfenidone for patients with cancer and grade 2 or grade 3 radiation-induced lung injury: A modeling study. [PDF]
PLoS MedPan QY +9 more
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Linking signal integrity to probabilistic models of behavioral dynamics. [PDF]
Behav Res MethodsSayfoori R, Cao H.
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Theory of Probability & Its Applications, 1956
Let $\mathcal{E}$ be a metric space, and suppose that $\mathfrak{B}$ is the Borel field generated by the open sets of $\mathcal{E}$. A stochastic process is defined on $\mathcal{E}$ if a function $x(t,\omega )$$(0 \leqq t < \infty ,\omega \in \Omega )$ and a system of probability measures ${\bf P}_x (x \in \mathcal{E})$ are given such that all ${\bf P ...
Dynkin, E. B., Yushkevich, A. A.
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Let $\mathcal{E}$ be a metric space, and suppose that $\mathfrak{B}$ is the Borel field generated by the open sets of $\mathcal{E}$. A stochastic process is defined on $\mathcal{E}$ if a function $x(t,\omega )$$(0 \leqq t < \infty ,\omega \in \Omega )$ and a system of probability measures ${\bf P}_x (x \in \mathcal{E})$ are given such that all ${\bf P ...
Dynkin, E. B., Yushkevich, A. A.
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IEEE Transactions on Information Theory, 2002
Summary: An overview of statistical and information-theoretic aspects of hidden Markov processes (HMPs) is presented. An HMP is a discrete-time finite-state homogeneous Markov chain observed through a discrete-time memoryless invariant channel. In recent years, the work of \textit{L. E. Baum} and \textit{R.E. Petrie}, Ann. Math. Stat.
Yariv Ephraim, Neri Merhav
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Summary: An overview of statistical and information-theoretic aspects of hidden Markov processes (HMPs) is presented. An HMP is a discrete-time finite-state homogeneous Markov chain observed through a discrete-time memoryless invariant channel. In recent years, the work of \textit{L. E. Baum} and \textit{R.E. Petrie}, Ann. Math. Stat.
Yariv Ephraim, Neri Merhav
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Statistica Neerlandica, 1985
AbstractA review is presented of the development over the years of the theory and practical use of Markov decision processes. To this purpose three periods are considered: before 1966, from 1966 till 1972, and after 1973. In all 3 periods there has been some contribution from the Netherlands, but particularly in the last period the research in the ...
Wal, van der, J., Wessels, J.
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AbstractA review is presented of the development over the years of the theory and practical use of Markov decision processes. To this purpose three periods are considered: before 1966, from 1966 till 1972, and after 1973. In all 3 periods there has been some contribution from the Netherlands, but particularly in the last period the research in the ...
Wal, van der, J., Wessels, J.
openaire +1 more source