Bayesian and Non-Bayesian Inference for Survival Data Using Generalised Exponential Distribution by Chris Bambey Guure, Samuel Bosomprah

Get full text

Bayesian and non-bayesian analysis for stress-strength model based on progressively first failure censoring with applications. by Salem A Alyami, Amal S Hassan, Ibrahim Elbatal, Olayan Albalawi, Mohammed Elgarhy, Ahmed R El-Saeed

“…This article examines the estimate of ϑ = P [T < Q], using both Bayesian and non-Bayesian methods, utilizing progressively first-failure censored data. …”
Get full text

Reporting Standards for Bayesian Network Modelling by Martine J. Barons, Anca M. Hanea, Steven Mascaro, Owen Woodberry

Subjects: “…Bayesian networks…”
Get full text

Bayesian Optimization Of NeuroStimulation (BOONStim) by Lindsay D. Oliver, Jerrold Jeyachandra, Erin W. Dickie, Colin Hawco, Salim Mansour, Stephanie M. Hare, Robert W. Buchanan, Anil K. Malhotra, Daniel M. Blumberger, Zhi-De Deng, Aristotle N. Voineskos

Subjects: “…Bayesian optimization…”
Get full text

Constrained Bayesian Optimization: A Review by Sasan Amini, Inneke Vannieuwenhuyse, Alejandro Morales-Hernandez

Subjects: “…Bayesian optimization…”
Get full text

Bayesian Inference for Solar Flare Extremes by B. Griffiths, L. Fawcett, A. C. Green

“…In this paper we use Extreme Value Theory to model extreme solar flares, with inference performed in the Bayesian paradigm. The data used have been provided by the National Oceanic and Atmospheric Organisation and consist of recordings of peak flux measurements. …”
Get full text

Bayesian and non-bayesian estimation of Marshall-Olkin XLindley distribution in presence of censoring, cure fraction, and application on medical data by Hleil Alrweili, Eid Sadun Alotaibi

“…We estimate the parameters of the distribution using both maximum likelihood and Bayesian approaches. We employ three medical datasets to show the MOXL distribution's adaptability. …”
Get full text

Bayesian and non-bayesian inference for logistic-exponential distribution using improved adaptive type-II progressively censored data. by Subhankar Dutta, Hana N Alqifari, Amani Almohaimeed

“…The delta approach is used to create estimated confidence intervals for the model parameters. In the Bayesian technique, prior information about the LED parameters is used to estimate the posterior distribution of the parameters, which is derived using Bayes' theorem. …”
Get full text

Bayesian geostatistical modeling of leishmaniasis incidence in Brazil. by Dimitrios-Alexios Karagiannis-Voules, Ronaldo G C Scholte, Luiz H Guimarães, Jürg Utzinger, Penelope Vounatsou

“…The models were fitted using integrated nested Laplace approximations to perform fast approximate Bayesian inference. Bayesian variable selection was employed to determine the most important climatic, environmental, and socioeconomic predictors of cutaneous and visceral leishmaniasis.…”
Get full text

High‐dimensional Bayesian optimization for metamaterial design by Zhichao Tian, Yang Yang, Sui Zhou, Tian Zhou, Ke Deng, Chunlin Ji, Yejun He, Jun S. Liu

Subjects: “…high‐dimensional bayesian optimization…”
Get full text

Bayesian Estimation of Generalized Process Capability Indices by Sudhansu S. Maiti, Mahendra Saha

“…Maiti et al. (2010) have proposed a generalized process capability index that is the ratio of proportion of specification conformance to proportion of desired conformance. Bayesian estimation of the index has been considered under squared error loss function. …”
Get full text

Power Prior Elicitation in Bayesian Quantile Regression by Rahim Alhamzawi, Keming Yu

“…We address a quantile dependent prior for Bayesian quantile regression. We extend the idea of the power prior distribution in Bayesian quantile regression by employing the likelihood function that is based on a location-scale mixture representation of the asymmetric Laplace distribution. …”
Get full text

A Bayesian model for binary Markov chains by Souad Assoudou, Belkheir Essebbar

“…This note is concerned with Bayesian estimation of the transition probabilities of a binary Markov chain observed from heterogeneous individuals. …”
Get full text

Estimation of Fuzzy Regression Parameters With ANFIS and Bayesian Methods by M. Pakdel, T. Razzaghnia, K. Fathi, A. Mostafaee

Subjects: Get full text

Energy constraint Bayesian compressive sensing detection algorithm by Chun-hui ZHAO, Yun-long XU

Subjects: “…Bayesian compressive sensing…”
Get full text

Robust Bayesian Regularized Estimation Based on t Regression Model by Zean Li, Weihua Zhao

“…In this paper, in view of the advantages of Bayesian analysis, we propose a new robust coefficient estimation and variable selection method based on Bayesian adaptive Lasso t regression. …”
Get full text

An MCMC Approach to Bayesian Image Analysis in Fourier Space by Konstantinos Bakas, John Kornak, Hernando Ombao

Subjects: “…Bayesian image analysis…”
Get full text

Bayesian prediction of under-five mortality rates for Tanzania by Mohamed K. Mwanga, Silas S. Mirau, Jean M. Tchuenche, Isambi S. Mbalawata

Subjects: Get full text

Advanced Monte Carlo for Acquisition Sampling in Bayesian Optimization by Javier Garcia-Barcos, Ruben Martinez-Cantin

Subjects: “…Bayesian optimization…”
Get full text

Application of a naive Bayesians classifiers in assessing the supplier by Mijailović Snežana, Ilić Đorđe

Subjects: Get full text