Results 31 to 40 of about 23,661,782 (208)
Agriculture, 2021 Agricultural growth and food security are a priority in many developing countries. This has led to increased attention to effective pest management. Integrated Pest Management (IPM) strategy is a sustainable and recommended alternative to the use of ...
Fridah Chepchirchir +5 more
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Aquatic Living Resources, 2020 Selecting an appropriate growth pattern for individual fish is a meaningful but complex topic in fishery research. We model four growth functions − the commonly used von Bertalanffy growth model (VBGM), and the Gompertz growth model (GGM), Schnute ...
Zhang Kui +3 more
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Hydrology Research, 2022 Surface and groundwater resource availability depends on precipitation patterns. Climatic change may alter not only future annual totals of precipitation but also its temporal distribution.
Oleksiy Boyko +2 more
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A Bayesian Computer Model Analysis of Robust Bayesian Analyses [PDF]
, 2023 We harness the power of Bayesian emulation techniques, designed to aid the analysis of complex computer models, to examine the structure of complex Bayesian analyses themselves.
Gosling, J.P., Vernon, I.
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Reporting Standards for Bayesian Network Modelling
EntropyReproducibility 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
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Bayesianism: An Algorithmic Analysis
Information and Computation, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
İktisat Politikası Araştırmaları Dergisi, 2023 In this paper, the authors explored the interaction of macroeconomic variables with some form of vague interrelationships. The relevance of factor analysis has demonstrated an existing association between manifest and latent variables in helping the ...
Christopher E. S. Warburton +1 more
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Bayesian Neighborhood Component Analysis
IEEE Transactions on Neural Networks and Learning Systems, 2018 Learning a good distance metric in feature space potentially improves the performance of the KNN classifier and is useful in many real-world applications. Many metric learning algorithms are however based on the point estimation of a quadratic optimization problem, which is time-consuming, susceptible to overfitting, and lack a natural mechanism to ...
Dong Wang 0015, Xiaoyang Tan
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Objective Bayesian Analysis of a Measurement Error Small Area Model
, 2012 We consider small area estimation under a nested error linear regression model with measurement errors in the covariates. We propose an objective Bayesian analysis of the model to estimate the finite population means of the small areas. In particular, we
ARIMA, SERENA +2 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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