Results 91 to 100 of about 112,632 (333)

Hastings-Metropolis algorithm on Markov chains for small-probability estimation***

open access: yesESAIM: Proceedings and Surveys, 2015
Shielding studies in neutron transport, with Monte Carlo codes, yield challenging problems of small-probability estimation. The particularity of these studies is that the small probability to estimate is formulated in terms of the ...
Bachoc Francois   +2 more
doaj   +1 more source

Modeling the Intermediate Flow Regime in Flow‐Compensated Intravoxel Incoherent Motion MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose The intravoxel incoherent motion (IVIM) model is commonly used to separate the effects of motion related to diffusion and blood microcirculation (perfusion) on the MR signal. Depending on the encoding time (T), it is possible to probe the different temporal regimes of blood motion, which resemble a ballistic flow at short T and a ...
Louise Rosenqvist   +5 more
wiley   +1 more source

Seriation in paleontological data using markov chain Monte Carlo methods.

open access: yesPLoS Computational Biology, 2006
Given a collection of fossil sites with data about the taxa that occur in each site, the task in biochronology is to find good estimates for the ages or ordering of sites. We describe a full probabilistic model for fossil data.
Kai Puolamäki   +2 more
doaj   +1 more source

Markov chain Monte Carlo estimation of quantiles [PDF]

open access: gold, 2014
Charles R. Doss   +3 more
openalex   +1 more source

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao   +3 more
wiley   +1 more source

A quantum parallel Markov chain Monte Carlo. [PDF]

open access: yesJ Comput Graph Stat, 2023
Holbrook AJ.
europepmc   +1 more source

Markov Chain Monte Carlo-Based Bayesian Inference for Learning Finite and Infinite Inverted Beta-Liouville Mixture Models [PDF]

open access: gold, 2021
Sami Bourouis   +5 more
openalex   +1 more source

Asphalted parking lots are environmental filters for multiple propagule dispersal and pollination strategies

open access: yesNordic Journal of Botany, EarlyView.
Understanding community assembly for wild species in anthropogenic settings has become increasingly important as biodiversity and ecosystem services are threatened by development pressures. Urban hardscape habitats such as parking lots are widespread, extreme, terrestrial anthropogenic environments that influence plant community assembly by way of ...
Lauren J. Frazee   +3 more
wiley   +1 more source

Automatic Parallel Tempering Markov Chain Monte Carlo with Nii-C

open access: yesThe Astrophysical Journal Supplement Series
Due to the high dimensionality or multimodality that is common in modern astronomy, sampling Bayesian posteriors can be challenging. Several publicly available codes based on different sampling algorithms can solve these complex models, but the execution
Sheng Jin, Wenxin Jiang, Dong-Hong Wu
doaj   +1 more source

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