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Bayesian statistics and modelling [PDF]
Nature Reviews Methods Primers, 2021 Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the ...
Mahlet G. Tadesse +12 more
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Demographic and epidemiological characteristics of scorpion envenomation and daily forecasting of scorpion sting counts in Touggourt, Algeria [PDF]
Epidemiology and Health, 2020 OBJECTIVES This study was conducted to provide better insights into the demographic and epidemiological characteristics of scorpion envenomation in an endemic area in Algeria and to identify the model that best predicted daily scorpion sting counts ...
Kaouthar Boubekeur +2 more
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GDP Forecasting: Machine Learning, Linear or Autoregression?
Frontiers in Artificial Intelligence, 2021 This paper compares the predictive power of different models to forecast the real U.S. GDP. Using quarterly data from 1976 to 2020, we find that the machine learning K-Nearest Neighbour (KNN) model captures the self-predictive ability of the U.S. GDP and
Giovanni Maccarrone +3 more
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Statistical models of fracture [PDF]
Advances in Physics, 2006 Disorder and long-range interactions are two of the key components that make material failure an interesting playfield for the application of statistical mechanics. The cornerstone in this respect has been lattice models of the fracture in which a network of elastic beams, bonds or electrical fuses with random failure thresholds are subject to an ...
Mikko J. Alava +2 more
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Costs of Facade Systems Execution [PDF]
Archives of Civil Engineering, 2020 Cost estimation in the pre-design phase both for the contractor as well as the investor is an important aspect from the point of view of budget planning for a construction project.
Agnieszka Leśniak +2 more
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SSRN Electronic Journal, 2016 44 pages; a trivial typo corrected, references updated; to appear in The Journal of Investment Strategies.
Zura Kakushadze, Willie Yu
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Study of Abrasion of Rubber Materials by Experimental Design, Response Surface and Artificial Neural Network Modeling [PDF]
علوم و تکنولوژی پلیمر, 2015 Effect of different formulation ingredients on the abrasion behavior, crack growth and modulus of tire tread formulation was studied using two different case studies.
Mehdi Shiva +3 more
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Statistical Models for Predicting Threat Detection From Human Behavior
Frontiers in Psychology, 2018 Users must regularly distinguish between secure and insecure cyber platforms in order to preserve their privacy and safety. Mouse tracking is an accessible, high-resolution measure that can be leveraged to understand the dynamics of perception ...
Timothy Kelley +2 more
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Agronomy, 2020 The adoption of conservation agriculture (CA) techniques by farmers is changing the dynamics of weed communities in cereal fields and so potentially their spatial distribution.
Jordi Izquierdo +6 more
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Growth prediction of under-5 children using statistical models for eastern region of India
Indian Journal of Community Medicine, 2022 Background: Percentile curves are often used to assess variances in children's growth pattern. This study is aimed at explaining effect of the respondents' sociodemographic characteristics on under-5 children's birth weight and identifying most suitable ...
Pradyuman Verma, Jang Bahadur Prasad
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