Results 31 to 40 of about 767,112 (259)

Bayesian generalized method of moments [PDF]

open access: yes, 2009
We propose the Bayesian generalized method of moments (GMM), which is particularly useful when likelihood-based methods are di±cult. By de-riving the moments and concatenating them together, we build up a weighted quadratic objective function in the GMM ...
Yin, G
core   +1 more source

Bayesian parametric bootstrap for models with intractable likelihoods [PDF]

open access: yes, 2019
In this paper it is demonstrated how the Bayesian parametric bootstrap can be adapted to models with intractable likelihoods. The approach is most appealing when the computationally efficient semi-automatic approximate Bayesian computation (ABC) summary ...
Christopher C. Drovandi   +8 more
core   +1 more source

Sleeping Beauty on Monty Hall

open access: yesPhilosophies, 2020
Inspired by the Monty Hall Problem and a popular simple solution to it, we present a number of game-show puzzles that are analogous to the notorious Sleeping Beauty Problem (and variations on it), but much easier to solve.
Michel Janssen, Sergio Pernice
doaj   +1 more source

Assessing the Use of GEE Methods for Analyzing Continuous Outcomes from Family Studies: Strong Heart Family Study

open access: yesEpidemiology, Biostatistics and Public Health, 2023
Background: Because of its convenience and robustness, the generalized estimating equations (GEE) method has been commonly used to fit marginal models of continuous outcomes in family studies.
Xi Chen   +8 more
doaj   +1 more source

Power prior elicitation in Bayesian quantile regression [PDF]

open access: yes, 2011
This article has been made available through the Brunel Open Access Publishing Fund - Copyright @ 2011 Rahim Alhamzawi and Keming Yu.We address a quantile dependent prior for Bayesian quantile regression.
Rahim Alhamzawi   +3 more
core   +1 more source

Approximation of Bayesian predictive p-values with\ud regression ABC [PDF]

open access: yes, 2018
In the Bayesian framework a standard approach to model criticism is to compare some function of the observed data to a reference predictive distribution.
Mengersen, Kerrie   +7 more
core   +1 more source

Exploring cognitive individuality and the underlying creativity in statistical learning and phase entrainment

open access: yesEXCLI Journal : Experimental and Clinical Sciences, 2023
Statistical learning starts at an early age and is intimately linked to brain development and the emergence of individuality. Through such a long period of statistical learning, the brain updates and constructs statistical models, with the model's ...
Tatsuya Daikoku   +2 more
doaj   +1 more source

The impact of foreign direct investment on income inequality in developing countries: The Bayesian approach

open access: yesJurnal Ekonomi & Studi Pembangunan, 2023
Inequality in general and income inequality in particular have existed for a long time and tend to increase daily. Foreign direct investment (FDI) is expected to be an important factor contributing to mitigating that situation.
To Thi Hong Gam   +2 more
doaj   +1 more source

Virtual reality-augmented differentiable simulations for digital twin applications in surgical planning

open access: yesScientific Reports
This paper presents a novel approach for digital twin applications in surgical planning, integrating a differentiable simulator for trajectory generation within segmented medical images and a virtual reality (VR) platform for navigating an overlay of ...
Robin Cremese   +9 more
doaj   +1 more source

Reporting Standards for Bayesian Network Modelling

open access: yesEntropy
Reproducibility is a key measure of the veracity of a modelling result or finding. In other research areas, notably in medicine, reproducibility is supported by mandating the inclusion of an agreed set of details into every research publication ...
Martine J. Barons   +3 more
doaj   +1 more source

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