Results 21 to 30 of about 4,246,376 (189)
Appreciating the Significance of Non-significant Findings in Psychology
Journal of European Psychology Students, 2019 Statistical hypothesis tests for which the null hypothesis cannot be rejected ("null findings") are often seen as negative outcomes in the life and social sciences and are thus scarcely published. Null findings can, however, bear important insights about
David M. A. Mehler +2 more
doaj +1 more source
Empirical Bayes Matrix Factorization
Journal of machine learning research : JMLR, 2018 Matrix factorization methods - including Factor analysis (FA), and Principal Components Analysis (PCA) - are widely used for inferring and summarizing structure in multivariate data. Many matrix factorization methods exist, corresponding to different assumptions on the elements of the underlying matrix factors.
Wei Wang, Matthew Stephens
openaire +5 more sources
Frontiers in Plant Science, 2017 Irregular flowering over years is commonly observed in fruit trees. The early prediction of tree behavior is highly desirable in breeding programmes. This study aims at performing such predictions, combining simplified phenotyping and statistics methods.
Jean-Baptiste Durand +7 more
doaj +1 more source
Crop Breeding and Applied Biotechnology, 2023 Although maize is one of the main crops in the Northeast region, yield is still considered low when compared to other regions. One of the main solutions to increasing yield is the selection of cultivars adapted to the conditions of the Northeast region ...
Tâmara Rebecca Albuquerque de Oliveira +5 more
doaj
Bayes linear kinematics in the analysis of failure rates and failure time distributions [PDF]
, 2010 Collections of related Poisson or binomial counts arise, for example, from a number of different failures in similar machines or neighbouring time periods.
Farrow, Malcolm, Wilson, Kevin
core +4 more sources
From p-Values to Posterior Probabilities of Null Hypotheses
Entropy, 2023 Minimum Bayes factors are commonly used to transform two-sided p-values to lower bounds on the posterior probability of the null hypothesis, in particular the bound −e·p·log(p).
Daiver Vélez Ramos +2 more
doaj +1 more source
On a design consistency property of hierarchical Bayes estimators in finite population samplings. [PDF]
, 2007 We obtain a limit of a hierarchical Bayes estimator of a finite population mean when the sample size is large. The limit is in the sense of ordinary calculus, where the sample observations are treated as fixed quantities. Our result suggests a simple way
Lahiri, P, Mukherjee, Kanchan
core +4 more sources
Statistical parametric mapping of biomechanical one-dimensional data with Bayesian inference
International Biomechanics, 2019 Recent developments in Statistical Parametric Mapping (SPM) for continuum data (e.g. kinematic time series) have been adopted by the biomechanics research community with great interest. The Python/MATLAB package spm1d developed by T.
Ben Serrien +2 more
doaj +1 more source
Significance, 2006 Abstract Bayes factors are somewhat essential to Bayesian statistics. Tony O'Hagan explains their basics.
openaire +1 more source
Application of Bayesian Analysis in Medical Diagnosis
Journal of the Practice of Cardiovascular Sciences, 2019 In this work, we outlined the application of the Bayesian technique for integrating the results of multiple tests while treating any disease. We provided an overview of the fundamental concept of Bayesian analysis in making an inference about a ...
Vivek Verma +2 more
doaj +1 more source