On Markovian solutions to Markov Chain BSDEs [PDF]
, 2011 We study (backward) stochastic differential equations with noise coming from a finite state Markov chain. We show that, for the solutions of these equations to be `Markovian', in the sense that they are deterministic functions of the state of the ...
B. Bouchard +10 more
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MCMC-ODPR : primer design optimization using Markov Chain Monte Carlo sampling [PDF]
, 2012 Background Next generation sequencing technologies often require numerous primer designs that require good target coverage that can be financially costly.
Allaby, Robin G. +3 more
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Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations [PDF]
, 2014 We construct a new framework for accelerating Markov chain Monte Carlo in posterior sampling problems where standard methods are limited by the computational cost of the likelihood, or of numerical models embedded therein.
Conrad, Patrick R. +3 more
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Prediction and Power in Molecular Sensors: Uncertainty and Dissipation When Conditionally Markovian Channels Are Driven by Semi-Markov Environments [PDF]
, 2017 Sensors often serve at least two purposes: predicting their input and minimizing dissipated heat. However, determining whether or not a particular sensor is evolved or designed to be accurate and efficient is difficult.
Crutchfield, James P., Marzen, Sarah E.
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Kalikow-type decomposition for multicolor infinite range particle systems
, 2013 We consider a particle system on $\mathbb{Z}^d$ with real state space and interactions of infinite range. Assuming that the rate of change is continuous we obtain a Kalikow-type decomposition of the infinite range change rates as a mixture of finite ...
Galves, A. +3 more
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Discrete-time classical and quantum Markovian evolutions: Maximum entropy problems on path space
, 2009 The theory of Schroedinger bridges for diffusion processes is extended to classical and quantum discrete-time Markovian evolutions. The solution of the path space maximum entropy problems is obtained from the a priori model in both cases via a suitable ...
Bernstein S. +18 more
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Importance Sampling Simulation of Population Overflow in Two-node Tandem Networks [PDF]
, 2005 In this paper we consider the application of importance sampling in simulations of Markovian tandem networks in order to estimate the probability of rare events, such as network population overflow.
Nicola, Victor F. +1 more
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A Gibbs approach to Chargaff's second parity rule
, 2011 Chargaff's second parity rule (CSPR) asserts that the frequencies of short polynucleotide chains are the same as those of the complementary reversed chains.
A. Hart +17 more
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, 2018 Knutson introduced two families of reverse juggling Markov chains (single and multispecies) motivated by the study of random semi-infinite matrices over $\mathbb{F}_q$.
Ayyer, Arvind, Linusson, Svante
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A Conceptual Framework of Reverse Logistics Impact on Firm Performance [PDF]
, 2014 This study aims to examine the reverse logistics factors that impact upon firm performance. We review reverse logistics factors under three research streams: (a) resource-based view of the firm, including: Firm strategy, Operations management, and ...
Vlachos, Ilias
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