Results 51 to 60 of about 149,229 (279)
Implementing random scan Gibbs samplers [PDF]
A Gibbs sampler is considered for the simulation of a multivariate distribution \(X\). It is proposed to change the probabilities of coordinate selection at each step taking into account the information from previously generated data. If the sampler is used to estimate a functional moment \({\mathbf E} h(X)\), then the variance of the estimator can be ...
Richard A. Levine +3 more
openaire +2 more sources
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao +6 more
wiley +1 more source
An Introduction to the DA-T Gibbs Sampler for the Two-Parameter Logistic (2PL) Model and Beyond
The DA-T Gibbs sampler is proposed by Maris and Maris (2002) as a Bayesian estimation method for a wide variety of Item Response Theory (IRT) models.
Gunter Maris, Timo M. Bechger
doaj
Encapsulation of solid–liquid barocalorics (BC) within MOFs harnesses their colossal BC performance whilst allowing active control of BC properties through BC‐MOF interactions. ABSTRACT Barocaloric (BC) effects at liquid–vapor transitions in hydrofluorocarbons drive most commercial technologies used for heating and cooling in the heating, ventilation ...
Ming Zeng +8 more
wiley +1 more source
The major objective of this study was to estimate heritability and genetic correlations between milk yield (MY) and calving interval (CI) and lactation length (LL) in Murrah buffaloes using Bayesian inference.
Carlos Henrique Mendes Malhado +5 more
doaj +1 more source
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli +4 more
wiley +1 more source
Background and Objectives: Analysis of ordinal data outcomes could lead to bias estimates and large variance in sparse one. The objective of this study is to compare parameter estimates of an ordinal regression model under maximum likelihood and Bayesian
M Chehrazi +4 more
doaj
Electron‐Deficient Linkers Enhance H2O2 Electrosynthesis in Covalent Organic Frameworks
Linker π‐conjugation modulates the electronic state of the Ni–N4 centers and their interaction with the key *OOH intermediate while preserving the primary coordination motif. NiPc‐PTDA delivers an H2O2 selectivity of 92% and a production rate of 34.8 mol gcat−1 h−1, highlighting linker electronic properties as a molecular design parameter for NiPc ...
Houting Xie +7 more
wiley +1 more source
Improved Bayesian Inferences for Right-Censored Birnbaum–Saunders Data
This work focuses on making Bayesian inferences for the two-parameter Birnbaum–Saunders (BS) distribution in the presence of right-censored data. A flexible Gibbs sampler is employed to handle the censored BS data in this Bayesian work that relies on ...
Kalanka P. Jayalath
doaj +1 more source
O objetivo deste trabalho foi utilizar o método Bayesiano no ajuste do modelo de Wood a dados de produção de leite de cabras da raça Saanen. Dois grupos de animais da primeira e segunda lactação foram considerados.
Fabyano Fonseca e Silva +3 more
doaj +1 more source

