Results 31 to 40 of about 12,151,236 (300)
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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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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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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A role for symmetry in the Bayesian solution of differential equations
, 2020 The interpretation of numerical methods, such as finite difference methods for differential equations, as point estimators suggests that formal uncertainty quantification can also be performed in this context.
Cockayne, Jonathan +3 more
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Full Bayesian wavelet inference with a nonparametric prior [PDF]
, 2012 In this paper,we introduce a new Bayesian nonparametric model for estimating an unknown function in the presence of Gaussian noise.The proposed model involves a mixture of a point mass and an arbitrary (nonparametric) symmetric and unimodal distribution
Wang, Xue, Walker, Stephen G.
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Evaluating the system reliability and availability under fuzzy Bayesian approach [PDF]
تصمیم گیری و تحقیق در عملیات, 2020 Assessing the reliability and availability of the production system reduces the likelihood of sudden and costly stops, which is very risky. To this end, this paper attempts to provide a new way to determine the reliability and availability of a ...
Morteza Shafiee +2 more
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Bayesian Approximations to Hidden Semi-Markov Models for Telemetric Monitoring of Physical Activity [PDF]
, 2022 We propose a Bayesian hidden Markov model for analyzing time series and sequential data where a special structure of the transition probability matrix is embedded to model explicit-duration semi-Markovian dynamics.
Fiecas, Mark +5 more
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A Bayesian Method Reexamined [PDF]
, 1994 Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994)
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Yantu gongcheng xuebao, 2023 If a reservoir bank landslide happenes in the history, the factor of safety of slope stability will approach the critical value 1.0, which cannot indicate the realistic stable situation of the reservoir bank slope.
WANG Changhong 1, DU Haodong 1, LIU Wei 2, 3, ZONG Zhenbang 1, HU Shitao 1
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, 2003 Bayesian methods allow for a simple and intuitive representation of the function spaces used by kernel methods. This chapter describes the basic principles of Gaussian Processes, their implementation and their connection to other kernel-based Bayesian estimation methods, such as the Relevance Vector Machine.
Alexander J. Smola, Bernhard Schölkopf
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