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Bayesian adaptive lasso quantile regression [PDF]
, 2012 Recently, variable selection by penalized likelihood has attracted much research interest. In this paper, we propose adaptive Lasso quantile regression (BALQR) from a Bayesian perspective.
Al-Hamzawi, Rahim +2 more
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Bayesian assessment of the prevalence of BRCA-associated breast cancer in Moscow
Alʹmanah Kliničeskoj Mediciny, 2020 Rationale: For many years, breast cancer has been leading in the cancer structure in women, accounting for 21% from the total number of newly diagnosed cases of malignancies in Russia. The literature on the prevalence of the BRCA-associated breast cancer
A. V. Viskovatykh
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Hangkong gongcheng jinzhan, 2022 Bayesian method is commonly used in the reliability assessment of repairable systems with small samples in fields such as aerospace.The knowledge about the informative prior and/or failure data from repairable systems may not be collected as precisely as
WANG Yanping, WEIYupeng, LYU Zhenzhou
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Frontiers in Environmental Science, 2023 The long-term viability of small businesses in the aftermath of multiple pandemics and consequent lockdowns has a crucial impact on the sustainable economic and social development of any region across the world.
Fan Li +5 more
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Motion estimation with object based regularisation [PDF]
, 1996 A dynamic programming based matching method for motion estimation, that optimises a Bayesian maximum likelihood function in a 3-D optimisation space, is presented.
Cosmas, J, Panis, S
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A Bayesian method for detecting stellar flares [PDF]
, 2014 We present a Bayesian-odds-ratio-based algorithm for detecting stellar flares in light curve data. We assume flares are described by a model in which there is a rapid rise with a half-Gaussian profile, followed by an exponential decay.
Fletcher, L. +3 more
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Bayesian Computational Methods [PDF]
, 2011 In this chapter, we will first present the most standard computational challenges met in Bayesian Statistics, focussing primarily on mixture estimation and on model choice issues, and then relate these problems with computational solutions. Of course, this chapter is only a terse introduction to the problems and solutions related to Bayesian ...
openaire +6 more sources
A new link function for the prediction of binary variables
Croatian Review of Economic, Business and Social Statistics, 2018 If there are no heavy sanctions in place to prevent it, the problem of the cancellation of appointments can lead to huge economic losses and can have a significant impact on underutilized resources of healthcare facilities.
Gheno Gloria
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Reliability estimation of Weibull Lomax distribution via Bayesian approach [PDF]
Memoirs of the Scientific Sections of the Romanian Academy, 2023 Weibull Lomax distribution is considered. Bayesian method of estimation is employed in order to estimate the reliability function of Weibull Pareto distribution by using non-informative and beta priors.
Arun Kumar Rao, Himashu Pandey
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Objective Bayesian Estimation for Tweedie Exponential Dispersion Process
Mathematics, 2021 An objective Bayesian method for the Tweedie Exponential Dispersion (TED) process model is proposed in this paper. The TED process is a generalized stochastic process, including some famous stochastic processes (e.g., Wiener, Gamma, and Inverse Gaussian ...
Weian Yan +3 more
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