Results 31 to 40 of about 1,393,311 (289)
Energies, 2018 Known as a multi-objective, large-scale, and complicated optimization problem, the multi-objective optimal power flow (MOOPF) problem tends to be introduced with many constraints.
Gonggui Chen +3 more
doaj +1 more source
Mixtures of g-priors for Bayesian model averaging with economic applications [PDF]
, 2010 We examine the issue of variable selection in linear regression modeling, where we have a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the ap- propriate subset.
Ley, Eduardo +2 more
core +1 more source
Visual Prediction of Priors for Articulated Object Interaction [PDF]
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 IEEE International Conference on Robotics and Automation (ICRA ...
Moses, Caris +4 more
openaire +4 more sources
Improved Bayes estimators and prediction for the Wilson-Hilferty distribution
Anais da Academia Brasileira de Ciências: In this paper, we revisit the Wilson-Hilferty distribution and presented its mathematical properties such as the r-th moments and reliability properties.
PEDRO L. RAMOS +3 more
doaj +1 more source
Statistical Theory and Related Fields, 2018 The Wiener process as a degradation model plays an important role in the degradation analysis. In this paper, we propose an objective Bayesian analysis for an acceleration degradation Wiener model which is subjected to measurement errors.
Daojiang He, Yunpeng Wang, Mingxiang Cao
doaj +1 more source
Insurance and racial disparities in prior authorization in gynecologic oncology
Gynecologic Oncology Reports, 2023 While prior authorization aims to reduce unnecessary care, it may limit or delay medically necessary care. Delays in cancer care can impact survival and are more common in historically-marginalized populations. Our objective was to examine to what extent
Anna Jo Bodurtha Smith +6 more
doaj +1 more source
On a Class of Objective Prior from Scoring Rules [PDF]
, 2019 Objective prior distributions represent an important tool that allows one to have the advantages of using a Bayesian framework even when information about the parameters of a model is not available.
F. Leisen +11 more
core +1 more source
Properties of k-record posteriors for the Weibull model
Statistical Theory and Related FieldsBayesian inference is one of the most important issues under the model selection procedures in statistics. This paper performed a Bayesian analysis of posteriors using a well-known Weibull model with high fitting performance.
Z. Vidović, J. Nikolić, Z. Perić
doaj +1 more source
Objective Priors: An Introduction for Frequentists
Statistical Science, 2011 Published in at http://dx.doi.org/10.1214/10-STS338 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
openaire +3 more sources
Bayesian analysis for the Lomax model using noninformative priors
Statistical Theory and Related Fields, 2023 The Lomax distribution is an important member in the distribution family. In this paper, we systematically develop an objective Bayesian analysis of data from a Lomax distribution. Noninformative priors, including probability matching priors, the maximal
Daojiang He, Dongchu Sun, Qing Zhu
doaj +1 more source