Non‐homogeneous continuous‐time Markov chain with covariates: Applications to ambulatory hypertension monitoring
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9707
Abstract: Hypertension significantly increases the risk for many health conditions including heart disease and stroke. Hypertensive patients often have continuous measurements of their blood pressure to better understand how it fluctuates over the day. The continuous‐time… read more here.
Keywords: time; continuous time; time markov; hypertension ... See more keywords
Analyzing Markov chain Monte Carlo output
Sign Up to like & getrecommendations! Published in 2020 at "Wiley Interdisciplinary Reviews: Computational Statistics"
DOI: 10.1002/wics.1501
Abstract: Markov chain Monte Carlo (MCMC) is a sampling‐based method for estimating features of probability distributions. MCMC methods produce a serially correlated, yet representative, sample from the desired distribution. As such it can be difficult to… read more here.
Keywords: markov chain; chain monte; monte carlo;
Improving probabilistic hydroclimatic projections through high-resolution convection-permitting climate modeling and Markov chain Monte Carlo simulations
Sign Up to like & getrecommendations! Published in 2019 at "Climate Dynamics"
DOI: 10.1007/s00382-019-04702-7
Abstract: Understanding future changes in hydroclimatic variables plays a crucial role in improving resilience and adaptation to extreme weather events such as floods and droughts. In this study, we develop high-resolution climate projections over Texas by… read more here.
Keywords: convection permitting; high resolution; monte carlo; climate ... See more keywords
Markov chain analysis of Leading Ones problem
Sign Up to like & getrecommendations! Published in 2017 at "Artificial Life and Robotics"
DOI: 10.1007/s10015-017-0381-2
Abstract: Evolutionary algorithms (EAs) are randomized optimization search techniques, and the theoretical study of the first hitting time is very important in the practical applications of EA. We investigate the first hitting time of Leading Ones… read more here.
Keywords: ones problem; time; leading ones; markov chain ... See more keywords
Simulating outcomes of interventions using a multipurpose simulation program based on the evolutionary causal matrices and Markov chain
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DOI: 10.1007/s10115-017-1151-0
Abstract: Predicting long-term outcomes of interventions is necessary for educational and social policy-making processes that might widely influence our society for the long term. However, performing such predictions based on data from large-scale experiments might be… read more here.
Keywords: outcomes interventions; based evolutionary; markov chain; evolutionary causal ... See more keywords
Markov chain analysis in agent-based model calibration by classical and simulated minimum distance
Sign Up to like & getrecommendations! Published in 2018 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-018-1258-y
Abstract: Agent-based models are nowadays widely used; however, their calibration on real data still remains an open issue which prevents to exploit completely their potentiality. Rarely such a kind of models can be studied analytically; more… read more here.
Keywords: agent based; markov chain; minimum distance;
Study of cloud service queuing model based on imbedding Markov chain perspective
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-0907-3
Abstract: A cloud service model has been built in this article to evaluate the QoS of cloud service system. The Markov chain of the viewpoint has been created by applying imbedding Markov chain approach. The random… read more here.
Keywords: markov chain; model; service; cloud service ... See more keywords
Semi-Markov chain-based grey prediction-based mitigation scheme for vampire attacks in MANETs
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-2698-6
Abstract: Vampire attacks are considered to be the most vulnerable resource draining attack that is potential in disabling the connectivity of the network by draining mobile node’s energy at a faster rate. This vampire attack is… read more here.
Keywords: markov chain; vampire; prediction; semi markov ... See more keywords
Bayesian Estimation of Agent-Based Models via Adaptive Particle Markov Chain Monte Carlo
Sign Up to like & getrecommendations! Published in 2021 at "Computational Economics"
DOI: 10.1007/s10614-021-10155-0
Abstract: Over the last decade, agent-based models in economics have reached a state of maturity that brought the tasks of statistical inference and goodness-of-fit of such models on the agenda of the research community. While most… read more here.
Keywords: monte carlo; based models; chain monte; markov chain ... See more keywords
Ensemble preconditioning for Markov chain Monte Carlo simulation
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DOI: 10.1007/s11222-017-9730-1
Abstract: We describe parallel Markov chain Monte Carlo methods that propagate a collective ensemble of paths, with local covariance information calculated from neighbouring replicas. The use of collective dynamics eliminates multiplicative noise and stabilizes the dynamics,… read more here.
Keywords: chain monte; markov chain; monte carlo;
Markov chain Monte Carlo with the Integrated Nested Laplace Approximation
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DOI: 10.1007/s11222-017-9778-y
Abstract: The Integrated Nested Laplace Approximation (INLA) has established itself as a widely used method for approximate inference on Bayesian hierarchical models which can be represented as a latent Gaussian model (LGM). INLA is based on… read more here.
Keywords: laplace approximation; approximation; nested laplace; integrated nested ... See more keywords