Results 11 to 20 of about 12,151,236 (300)
A Probabilistic Capacity Model and Seismic Vulnerability Analysis of Wall Pier Bridges
Applied Sciences, 2020 This study aims to establish a probabilistic capacity model of a wall pier under various damage states, and the seismic vulnerability of a typical wall pier bridge is studied.
Libo Chen, Yi Tu, Leqia He
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Inter-Regional Inflation Differential as a Consequence of Heterogeneity of the Russian Economic Space [PDF]
Экономика региона, 2020 The need for the sustainable spatial development enables an analysis of the causes of the regional differentiation of consumer price growth rates for further development of relevant policies at the federal and regional levels.
Leonid Aleksandrovich Serkov
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Transition from Swifterbant to Funnelbeaker: A Bayesian Chronological Model
Open Archaeology, 2021 The transition from the late Swifterbant culture to the first appearance of the Funnelbeaker Westgroup raises numerous questions, from cultural discontinuities to gradual transitions.
Menne Julia, Brunner Mirco
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Bayesian Spatial Analysis of the Incidence Rate of Patients with Breast Cancer in Southern Iran [PDF]
Iranian Journal of Medical SciencesBackground: In the female population, breast cancer is the most common cancer and a leading cause of cancer death. This study was designed to investigate the geographical pattern of breast cancer risk in different counties of Fars province in the south ...
Abbas Rezaianzadeh +6 more
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Efficient utility-based clustering over high dimensional partition spaces [PDF]
, 2009 Because of the huge number of partitions of even a moderately sized dataset, even when Bayes factors have a closed form, in model-based clustering a comprehensive search for the highest scoring (MAP) partition is usually impossible.
Smith, JQ +9 more
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Bayesian generalized method of moments [PDF]
, 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
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Bayesian Probabilistic Numerical Methods [PDF]
SIAM Review, 2019 The emergent field of probabilistic numerics has thus far lacked clear statistical principals. This paper establishes Bayesian probabilistic numerical methods as those which can be cast as solutions to certain inverse problems within the Bayesian framework.
Jon Cockayne +3 more
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EXPERT SYSTEM DESIGN TO DIAGNOSE PESTS AND DISEASES ON LOCAL RED ONION PALU USING BAYESIAN METHOD
Barekeng, 2023 Bayesian is a method that can be used to overcome the uncertainty of a situation or data. The information obtained must be continuously updated so that it can foster trust as a result of the uncertainty of those conditions. In this study, the application
Junaidi Junaidi +5 more
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Frontiers in Psychology, 2020 One practical challenge in observational studies and quasi-experimental designs is selection bias. The issue of selection bias becomes more concerning when data are non-normal and contain missing values.
Dingjing Shi +3 more
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Bayesian back analysis considering constraints
Yantu gongcheng xuebao, 2021 Soil parameters significantly affect the prediction performance of geotechnical models. In the field of parameter identification, the MCMC-based Bayesian method is an effective way to infer the probability distribution of soil parameters.
TAO Yuan-qin 1 , SUN Hong-lei 2, CAI Yuan-qiang 1, 2
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