Results 21 to 30 of about 14,052 (271)
Behavioural Modelling of Career Progression in the European Commission [PDF]
, 2012 Though manpower planning models have been part of OR for many years, and simulation has always been acknowledged as a potential approach, there are few reported applications of its use.
Onggo, Stephan +3 more
core +1 more source
Recursive Markov Decision Processes and Recursive Stochastic Games [PDF]
, 2005 We introduce Recursive Markov Decision Processes (RMDPs) and Recursive Simple Stochastic Games (RSSGs), and study the decidability and complexity of algorithms for their analysis and verification.
Mihalis Yannakakis +3 more
core +1 more source
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
core +1 more source
Entropy, 2014 In this paper, we continue our efforts to show how maximum relative entropy (MrE) can be used as a universal updating algorithm. Here, our purpose is to tackle a joint state and parameter estimation problem where our system is nonlinear and in a non ...
Adom Giffin, Renaldas Urniezius
doaj +1 more source
THEORY OF PERTUBATED NON HOMOGENEOUS MARKOV SYSTEMS
, 1998 THIS THESIS BELONGS TO THE AREA OF STOCHASTIC MODELLING AND IS A COMBINATION OF THE THEORY OF NON HOMOGENEOUS MARKOV SYSTEMS AND PERTUBATION THEORY.
Συμεωνάκη, Μαρία
core +1 more source
Modelling nonstationary gene regulatory processes [PDF]
, 2010 An important objective in systems biology is to infer gene regulatory networks from postgenomic data, and dynamic Bayesian networks have been widely applied as a popular tool to this end.
Husmeier, D. +5 more
core +1 more source
Stochastic monotonicity and duality for one-dimensional Markov processes [PDF]
, 2011 The theory of monotonicity and duality is developed for general one-dimensional Feller processes, extending the approach from [11]. Moreover it is shown that local monotonicity conditions (conditions on the Lévy kernel) are sufficient to prove the well-
Kolokoltsov, V. N. (Vasiliĭ Nikitich)
core +1 more source
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
core +1 more source
Inverse Design of Amorphous Materials With Targeted Properties
Advanced Materials, EarlyView.AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler +4 more
wiley +1 more source
Super‐Resolution Ultrasound Based Cell Tracking With Polymeric Nanobubbles
Advanced Materials, EarlyView.This study presents a super‐resolution ultrasound platform for tracking cells in vivo. Biocompatible polymeric nanobubbles are used as highly echogenic intracellular labels. Following the injection of cells and microbubbles, ultrasound localization microscopy (ULM) can dynamically match the microvascular architecture and individual cell trajectories ...
Junlin Chen +19 more
wiley +1 more source