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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 ...
Robert, Christian P.
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SSRN Electronic Journal, 2011 Chapter written for the Handbook of Research Methods and Applications on Empirical Macroeconomics, edited by Nigar Hashimzade and Michael Thornton, forth- coming in 2012 (Edward Elgar Publishing). This chapter presents an introductory review of Bayesian methods for research in empirical macroeconomics.
Bauwens, L, Korobilis, D
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Mathematics, 2022 Mistrust, amplified by numerous artificial intelligence (AI) related incidents, is an issue that has caused the energy and industrial sectors to be amongst the slowest adopter of AI methods.
Ahmad Kamal Mohd Nor +3 more
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Jump test and Estimate the Size and Probability of Jump in the Stock Market Using Stochastic Volatility Models [PDF]
مدلسازی اقتصادسنجی, 2022 New findings show that volatility models with jump component are more successful than without jumping models in modeling stylized facts about the stock market.
Alireza Najjarpour, Mojtaba Rostami
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p-value based statistical significance tests: Concepts, misuses, critiques, solutions and beyond [PDF]
Computational Ecology and Software, 2022 The p-value is at the heart of statistical significance tests, a very important issue related to the role of statistical inference in advancing scientific discovery. Over the past few decades, p-value based statistical significance tests have been widely
WenJun Zhang
doaj
Uncertainty Characterization for Soil Cohesion in a Project Site in Nasiriyah Using Bayesian Methods [PDF]
E3S Web of Conferences, 2023 High uncertainties arias through the characterization of soil parameters because of the lack of data obtained from geotechnical reports. Reducing these uncertainties may improve the characteristic values of soil parameters.
Abd Al-Haleem Zainab, Shakir Ressol R.
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The Role of Digital Media in Shaping Youth Planetary Health Interests in the Global Economy
Journal of Open Innovation: Technology, Market and Complexity, 2020 Despite revolutionizing the work of practicing economists by providing a direct link between neo-classical economic theory and revealed market preference data, Random Utility Theory has yet to guide research applications in global market sustainability ...
Ibrahim Niankara +2 more
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Bayesian estimation of glacier surface elevation changes from DEMs
Frontiers in Earth Science, 2023 Accurate estimates of glacier surface elevation changes are paramount for various aspects of the study of the cryosphere, from glacier flow and thickness estimates to hydrological forecasts and projections of sea-level-rise.
Gregoire Guillet +3 more
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Bias in Odds Ratios From Logistic Regression Methods With Sparse Data Sets
Journal of Epidemiology, 2023 Background: Logistic regression models are widely used to evaluate the association between a binary outcome and a set of covariates. However, when there are few study participants at the outcome and covariate levels, the models lead to bias of the odds ...
Masahiko Gosho +4 more
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A Bayesian Approach for Imputation of Censored Survival Data
Stats, 2022 A common feature of much survival data is censoring due to incompletely observed lifetimes. Survival analysis methods and models have been designed to take account of this and provide appropriate relevant summaries, such as the Kaplan–Meier plot and the ...
Shirin Moghaddam +2 more
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