Results 51 to 60 of about 494,632 (168)
Data-driven Informative Priors for Bayesian Inference with Quasiperiodic Data
The Astronomical JournalBayesian computational strategies for inference can be inefficient in approximating the posterior distribution in models that exhibit some form of periodicity.
Javier López-Santiago +3 more
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Copula Approximate Bayesian Computation Using Distribution Random Forests
StatsOngoing modern computational advancements continue to make it easier to collect increasingly large and complex datasets, which can often only be realistically analyzed using models defined by intractable likelihood functions.
George Karabatsos
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Journal of Statistical Theory and Applications (JSTA)The Weibull probability distribution is known to model data from many application areas such as health science, biological science, engineering, finance, economy and education.
Fekade Getabil Habtewold +2 more
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Incidence and distribution of anomalous coronary artery: analysis of 94 necropsy cases [PDF]
Al Ameen Journal of Medical Sciences, 2014 Introduction: Present human cadaveric study was aimed to explore incidence and distribution of anomalous coronary artery. Methods: 10% formalin fixed ninety-four adult human hearts were studied in-vivo and in-vitro.
Sukhendu Dutta
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Posterior Distributions for Multivariate Normal Parameters
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1963 SUMMARY A class of Bayes posterior distributions is obtained for the parameters of the multivariate normal distribution. These are compared with their fiducial and confidence counterparts.
Geisser, S., Cornfield, J.
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Trajectory learning using posterior hidden Markov model state distribution
Egyptian Informatics Journal, 2017 Many life applications are extremely depending on using the robots, thus the human are seeking to develop efficient robots. Robot learning is to acquire extra knowledge in order to achieve objective configuration.
Asmaa A.E. Osman +3 more
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Survey Design, Symmetry and Posterior Distributions
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1973 Summary It is now well known that the sample design is irrelevant in a Bayesian analysis of survey data provided the units are labelled and the sampling is non-informative. However, information about the labels is often not available for the analysis, and in this situation the design will contain information about the labelling and hence
Scott, Alastair, Smith, T. M. F.
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A Bayesian Inference Method and its Application in Fatigue Crack Life Prediction
IEEE Access, 2019 In practical engineering, the design data are uncertain. The data will deviate from the true value due to technical reasons such as measurement. It would result in the inaccuracy of crack fatigue life prediction. To deal with those problems, a regression
Dongyan Shi, Hui Ma
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Yantu gongcheng xuebaoBayesian method infers the posterior distribution of slope parameters by combining prior distribution with filed time-series monitoring data. This process requires extensive computational resources due to repeated calls to time-consuming numerical models.
JIE Honghu 1, 2, JIANG Shuihua 1, 2, WAN Jianhong 1, 2, CHANG Zhilu 1, 2, HUANG Jinsong 1, ZHOU Chuangbing 1, 2
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PLoS Computational BiologyBayesian phylogenetic analysis with MCMC algorithms generates an estimate of the posterior distribution of phylogenetic trees in the form of a sample of phylogenetic trees and related parameters.
Lars Berling +5 more
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