Results 21 to 30 of about 23,661,782 (208)
Bayesian exploratory factor analysis [PDF]
Journal of Econometrics, 2014 This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings.
Conti, Gabriella +3 more
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Approximate Bayesian Inference Based on Expected Evaluations [PDF]
, 2023 Approximate Bayesian computing (ABC) and Bayesian Synthetic likelihood (BSL) are two popular families of methods to evaluate the posterior distribution when the likelihood function is not available or tractable.
Hammer, Hugo Lewi, Riegler, Michael
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Risk factors for Q fever incidence in Korea: a comparative analysis using frequentist and Bayesian methods [PDF]
Epidemiology and HealthOBJECTIVES This study investigated the principal determinants of human Q fever incidence and explored regional variation between metropolitan cities and provinces in Korea.
Ji-Hyun Son, Sung-Dae Park
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Approximate Bayesian inference for doubly robust estimation [PDF]
, 2015 Doubly robust estimators are typically constructed by combining outcome regression and propensity score models to satisfy moment restrictions that ensure consistent estimation of causal quantities provided at least one of the component models is ...
McCoy, EJ, Graham, DJ, Stephens, DA
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Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2023 Bayesian cluster analysis offers substantial benefits over algorithmic approaches by providing not only point estimates but also uncertainty in the clustering structure and patterns within each cluster. An overview of Bayesian cluster analysis is provided, including both model-based and loss-based approaches, along with a discussion on the importance ...
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Bayesian Solution Uncertainty Quantification for Differential Equations [PDF]
, 2016 We explore probability modelling of discretization uncertainty for system states defined implicitly by ordinary or partial differential equations. Accounting for this uncertainty can avoid posterior under-coverage when likelihoods are constructed from a ...
Girolami, MA +4 more
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Computational Psychiatry, 2018 Schizophrenia is a debilitating serious mental illness characterized by a complex array of symptoms with varying severity and duration. Patients may seek treatment only intermittently, contributing to challenges diagnosing the disorder.
Eileen M. Stock +4 more
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Indexing Inefficacy of Efforts to Stop Escalation of COVID Mortality
Mathematics, 2022 Background: COVID-19 efforts were often ineffective in controlling the spread of the pandemic. Thus, identifying ineffective controls during a pandemic is vital.
Ramalingam Shanmugam +3 more
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, 2021 This is the final version. Available on open access from the International Society for Bayesian Analysis via the DOI in this recordExposure to air pollution in the form of fine particulate matter (PM2.5) is known to cause diseases and cancers ...
Morawska, Lidia +5 more
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Digital Skills Influencing Factor of Financial Performance in the Medical Sector in Romania [PDF]
Revista de Studii FinanciareThe research paper addresses the contemporary topic of digitalization through both its structure and content. The case study focuses on the medical sector, where a sample of 20 companies with an average of 105 employees was analysed.
Silviu Cârstina +4 more
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