Results 21 to 30 of about 2,364,994 (254)
Gibbs Sampling gives Quantum Advantage at Constant Temperatures with O(1)-Local Hamiltonians [PDF]
QuantumSampling from Gibbs states – states corresponding to system in thermal equilibrium – has recently been shown to be a task for which quantum computers are expected to achieve super-polynomial speed-up compared to classical computers, provided the locality
Joel Rajakumar, James D. Watson
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Jurnal Matematika Integratif, 2022 Parameter dari suatu distribusi biasanya belum diketahui nilainya, untuk mengetahuinya dilakukan estimasi terhadap parameter tersebut. Metode estimasi parameter ada dua macam, yaitu metode klasik dan metode Bayesian.
Rahmayanti Putri Desiresta +2 more
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Timing gamma-ray pulsars using Gibbs sampling
Astronomy & AstrophysicsTiming analyses of gamma-ray pulsars in the Fermi Large Area Telescope (LAT) dataset can provide sensitive probes of many astrophysical processes, including timing noise in young pulsars, orbital period variations in redback binaries, and the stochastic ...
Clark C. J. +3 more
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Improved techniques for sampling complex pedigrees with the Gibbs sampler
Genetics Selection Evolution, 2007 Markov chain Monte Carlo (MCMC) methods have been widely used to overcome computational problems in linkage and segregation analyses. Many variants of this approach exist and are practiced; among the most popular is the Gibbs sampler.
Fernando Rohan L +2 more
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Gibbs state sampling via cluster expansions
npj Quantum InformationGibbs states (i.e., thermal states) can be used for several applications such as quantum simulation, quantum machine learning, quantum optimization, and the study of open quantum systems.
Norhan M. Eassa +3 more
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On Bayesian Estimation in Mixed Linear Models Using the Gibbs Sampler [PDF]
المجلة العراقية للعلوم الاحصائية, 2008 This paper tackles the estimation of parameters of linear mixed random effect one–classification model by Bayesian technique which includes Gibbs sampling. Gibbs sampling is a special case of Monte Carlo Method which uses Markov Chain and so called MCMC (
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Advanced Engineering Materials, EarlyView.Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
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Bayesian efficiency analysis with a flexible cost function [PDF]
, 1993 In this paper we describe the use of Gibbs sampling methods for drawing posterior inferences in a model with an asymptotically ideal price aggregator, non-constant returns to scale and composed error.
Osiewalski, Jacek +2 more
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Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Impact of MgO Additions on the Oxidation Resistance and Compression Behavior of Vanadium Alloys
Advanced Engineering Materials, EarlyView.An increase in oxidation resistance at 600 °C is achieved for alloys containing more than 2.5 wt.% MgO. It has been established that, along with V2O5, MgO6V2, and Mg2O7V2 are formed, which are presumed to enhance oxidative stability. Furthermore, the possible transformation of Mg‐vanadates through reaction with CO2, which presumably occurs in this ...
Ievgen Solodkyi +5 more
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