Results 1 to 10 of about 131 (119)
Interpretable Variational Graph Autoencoder With Noninformative Prior [PDF]
Future Internet, 2021 Variational graph autoencoder, which can encode structural information and attribute information in the graph into low-dimensional representations, has become a powerful method for studying graph-structured data.
Bo Yang, Lili Sun, Xueyan Liu
exaly +4 more sources
Geometric Properties of Noninformative Priors Based on the Chi-Square Divergence
Frontiers in Applied Mathematics and Statistics, 2023 Recently, a noninformative prior distribution that is different from the Jeffreys prior was derived as an extension of Bernardo's reference prior based on the chi-square divergence.
Fuyuhiko Tanaka
exaly +4 more sources
A Noninformative Prior on a Space of Distribution Functions [PDF]
Entropy, 2017 In a given problem, the Bayesian statistical paradigm requires the specification of a prior distribution that quantifies relevant information about the unknowns of main interest external to the data.
Alexander Terenin, David Draper
doaj +4 more sources
Bayesian Inference Under Small Sample Sizes Using General Noninformative Priors
Mathematics, 2021 This paper proposes a Bayesian inference method for problems with small sample sizes. A general type of noninformative prior is proposed to formulate the Bayesian posterior.
Xuefei Guan, Jingjing He
exaly +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 +2 more sources
Developing Noninformative Priors for Parallel-Line Bioassay [PDF]
Communications for Statistical Applications and Methods, 2002 This paper revisits parallel-line bioassay problem, from a Bayesian point of view using noninformative priors such as Jeffreys' prior, reference priors, and probability matching priors. After finding the orthogonal transformation, the class of first order and second order probability matching priors are derived. Jeffreys' prior and reference priors are
YeongHwa Kim, JungEun Heo
exaly +2 more sources
Frontiers in Big Data, 2022 For the normal model with a known mean, the Bayes estimation of the variance parameter under the conjugate prior is studied in Lehmann and Casella (1998) and Mao and Tang (2012).
Ying-Ying Zhang +5 more
doaj +1 more source
Journal of the Georgia Public Health Association, 2022 Background: We investigate epidemiological models, their parameters, and the models’ predictive performance of daily new cases during the first three weeks of the SARS-CoV-2 outbreak in a southwest Georgia hotspot.
Daniel F. Linder +6 more
doaj +1 more source
Reflecting About Selecting Noninformative Priors [PDF]
Journal of Applied & Computational Mathematics, 2014 15 pages, 8 figures, 5 ...
Kamary, Kaniav, Robert, Christian P.
openaire +4 more sources
PLoS ONE, 2022 Flash flooding is caused by heavy rainfall that frequently occurs during a tropical storm, and the Thai population has been subjected to this problem for a long time. The key to solving this problem by planning and taking action to protect the population
Patcharee Maneerat +2 more
doaj +2 more sources