Results 71 to 80 of about 563,810 (336)

Sequential Monte Carlo with likelihood tempering and parallel implementation for uncertainty quantification

open access: yesAIChE Journal, EarlyView.
Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi   +2 more
wiley   +1 more source

Bivariate network meta‐analysis for surrogate endpoint evaluation [PDF]

open access: yesStatistics in Medicine, 2019
Surrogate endpoints are very important in regulatory decision making in healthcare, in particular if they can be measured early compared to the long‐term final clinical outcome and act as good predictors of clinical benefit. Bivariate meta‐analysis methods can be used to evaluate surrogate endpoints and to predict the treatment effect on the final ...
Sylwia Bujkiewicz   +6 more
openaire   +5 more sources

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

open access: yesAdvanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He   +2 more
wiley   +1 more source

Bivariate Rainfall and Runoff Analysis Using Entropy and Copula Theories

open access: yesEntropy, 2012
Multivariate hydrologic frequency analysis has been widely studied using: (1) commonly known joint distributions or copula functions with the assumption of univariate variables being independently identically distributed (I.I.D.) random variables; or (2)
Lan Zhang, Vijay P. Singh
doaj   +1 more source

A superintegrable finite oscillator in two dimensions with SU(2) symmetry

open access: yes, 2012
A superintegrable finite model of the quantum isotropic oscillator in two dimensions is introduced. It is defined on a uniform lattice of triangular shape. The constants of the motion for the model form an SU(2) symmetry algebra.
Alexei Zhedanov   +12 more
core   +1 more source

Giving and receiving help in three contexts as predictors of alcohol outcomes in a longitudinal study of sober living house residents

open access: yesAmerican Journal of Community Psychology, EarlyView.
Abstract Although peer support is central to the social model approach emphasized in sober living houses (SLHs), no longitudinal studies have examined helping among SLH residents. This longitudinal study examined benefits of helping in three contexts among SLH residents. Data were from 205 participants entering 28 SLHs across 2021–2023. Interviews were
Sarah E. Zemore   +4 more
wiley   +1 more source

Ornaments are equally informative in males and females: a bivariate meta-analysis in birds [PDF]

open access: green, 2021
Sergio Nolazco   +3 more
openalex   +1 more source

Statistical modeling of space shuttle environmental data [PDF]

open access: yes
Statistical models which use a class of bivariate gamma distribution are examined. Topics discussed include: (1) the ratio of positively correlated gamma varieties; (2) a method to determine if unequal shape parameters are necessary in bivariate gamma ...
Brewer, D. W., Tubbs, J. D.
core   +1 more source

Neighborhood social environments and mental health among youth and adults in public housing

open access: yesAmerican Journal of Community Psychology, EarlyView.
Abstract Neighborhoods influence health in part through social processes. However, little is known about how multiple neighborhood social processes co‐occur, or about within (vs. between) neighborhood variation in social processes and health. This study asked how residents of a large public housing development describe their neighborhood and used ...
Jane Leer   +3 more
wiley   +1 more source

Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data

open access: yes, 2012
The analysis of the joint cumulative distribution function (CDF) with bivariate event time data is a challenging problem both theoretically and numerically.
Wu, Yuan, Zhang, Ying
core   +1 more source

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