Results 51 to 60 of about 183,644 (280)

Performance of Hamiltonian Monte Carlo and No-U-Turn Sampler for estimating genetic parameters and breeding values

open access: yesGenetics Selection Evolution, 2019
Background Hamiltonian Monte Carlo is one of the algorithms of the Markov chain Monte Carlo method that uses Hamiltonian dynamics to propose samples that follow a target distribution.
Motohide Nishio, Aisaku Arakawa
doaj   +1 more source

Influence of priors in Bayesian estimation of genetic parameters for multivariate threshold models using Gibbs sampling

open access: yesGenetics Selection Evolution, 2007
Simulated data were used to investigate the influence of the choice of priors on estimation of genetic parameters in multivariate threshold models using Gibbs sampling.
Hoeschele Ina   +2 more
doaj   +1 more source

Non Thermal‐Driven Photocatalytic Ammonia Decomposition at Near‐Room Temperature on a Plasmonic Nanocone Array

open access: yesAdvanced Functional Materials, EarlyView.
Plasmonic photocatalytic ammonia decomposition occurs at near‐room temperature on a plasmonic Au nanocone array under visible light illumination. The nanostructure efficiently harnesses plasmonic modes, leading to increased reaction rates upon plasmon decay.
Thanh‐Lam Bui   +17 more
wiley   +1 more source

Scanning sequences after Gibbs sampling to find multiple occurrences of functional elements

open access: yesBMC Bioinformatics, 2006
Background Many DNA regulatory elements occur as multiple instances within a target promoter. Gibbs sampling programs for finding DNA regulatory elements de novo can be prohibitively slow in locating all instances of such an element in a sequence set ...
Landsman David   +4 more
doaj   +1 more source

Z‐Scheme Water Splitting Systems Based on Solid‐State Electron Conductors

open access: yesAdvanced Functional Materials, EarlyView.
This review examines the latest advances in Z‐scheme overall water splitting (OWS) systems for solar hydrogen production. These systems consist of suspended or immobilized hydrogen evolution photocatalysts (HEPs) and oxygen evolution photocatalysts (OEPs).
Chen Gu   +3 more
wiley   +1 more source

BEYONDPLANCK

open access: yesAstronomy & Astrophysics, 2023
We present a Gibbs sampling solution to the mapmaking problem for cosmic microwave background (CMB) measurements that builds on existing destriping methodology. Gibbs sampling breaks the computationally heavy destriping problem into two separate steps: noise filtering and map binning.
E. Keihänen   +41 more
openaire   +6 more sources

The Influence of Annealing on the Sb Layer in the Synthesis of [001]‐Oriented Sb2Se3 Film for Photoelectrochemical Hydrogen Gas Generation

open access: yesAdvanced Functional Materials, EarlyView.
[001]‐oriented Sb2Se3 film with improved crystallinity and adjusted composition is achieved via a new thermal treatment approach consisting of preliminary annealing of the Sb layer before its selenization. The findings of this work demonstrate enhanced charge carriers' transportation, a stable performance, and an improvement of H2 generation from ...
Magno B. Costa   +7 more
wiley   +1 more source

Projecting Ising Model Parameters for Fast Mixing [PDF]

open access: yes, 2014
Inference in general Ising models is difficult, due to high treewidth making tree-based algorithms intractable. Moreover, when interactions are strong, Gibbs sampling may take exponential time to converge to the stationary distribution.
Domke, Justin, Liu, Xianghang
core   +1 more source

Highly Sensitive Electrochemical Biosensor Based on Hairy Particles with Controllable High Enzyme Loading and Activity

open access: yesAdvanced Functional Materials, EarlyView.
For the first time, a highly sensitive electrochemical biosensor based on SiO2‐based hairy particles with a grafted PDMAEMA polymer brush containing a quantifiable and large amount of immobilized Laccase is reported. The fabricated biosensor exhibits a sensitivity of 0.14 A·m⁻¹, a limit of detection (LOD) of 0.1 µm, and a detection range of 0.3–750 µm,
Pavel Milkin   +7 more
wiley   +1 more source

MultiBUGS: A Parallel Implementation of the BUGS Modeling Framework for Faster Bayesian Inference

open access: yesJournal of Statistical Software, 2020
MultiBUGS is a new version of the general-purpose Bayesian modeling software BUGS that implements a generic algorithm for parallelizing Markov chain Monte Carlo (MCMC) algorithms to speed up posterior inference of Bayesian models.
Robert J. B. Goudie   +3 more
doaj   +1 more source

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