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Markov Chains

Known as: Process, Markov, Markov Chain, Processes, Markov 
A stochastic process such that the conditional probability distribution for a state at any future instant, given the present state, is unaffected by… 
National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
A dynamic network population model with strategic link formation governed by individual preferences.
2012
2012
The impact of first year adherence to antiretroviral therapy on long‐term clinical and immunological outcomes in the DART trial in Uganda and Zimbabwe
Objectives  To describe associations between different summaries of adherence in the first year on antiretroviral therapy (ART… 
2009
2009
Refining Markov Clustering for protein complex prediction by incorporating core-attachment structure.
Protein complexes are responsible for most of vital biological processes within the cell. Understanding the machinery behind… 
2007
2007
Asymptotic Estimates Of The Green Functions And Transition Probabilities For Markov Additive Processes
In this paper we shall derive asymptotic expansions of the Green function and the transition probabilities of Markov additive (MA… 
2005
2005
Unified drug-target interaction thermodynamic Markov model using stochastic entropies to predict multiple drugs side effects.
Review
2002
Review
2002
Singular perturbations of Markov chains and decision processes
In this survey we present a unified treatment of both singular and regular perturbations in finite Markov chains and decision… 
2001
2001
Modeling turbulent diffusion and advection of indoor air contaminants by Markov chains.
  • M. Nicas
  • AIHAJ : a journal for the science of occupational…
  • 2001
  • Corpus ID: 24770300
Turbulent eddy diffusion models are used to describe a continuous concentration gradient with distance from an in-room… 
1988
1988
Markov-Duffin-Schaeffer inequality for polynomials with a circular majorant
If p is a polynomial of degree at most n such that \p(x)\ < Vl — x2 for — 1 < X < I, then for each k, max|p(*'(x)| on [—1,1] is… 
1974
1974
Statistical inference on markov process of neuronal impulse sequences
To clarify the stochastic properties of the neuronal impulse sequences, we have proposed a measure of statistical dependency di(T… 
1973
1973
Asymptotics of some relativistic markov processes.
Markov processes in special-relativistic position-velocity phase space are proved to have converging velocities as t… 
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