Results 21 to 30 of about 1,280,447 (236)
Time series of catch and effort data for Farfantepenaeus notialis were analysed in ‘R’ using a data limited state-space Bayesian Catch-maximum Sustainbale Yield (CMSY) method for stock assessment from catch (tonnes) and abundance data (t/day).
Komba J. Konoyima
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In this article, we study uncertainty quantification for flows in heterogeneous porous media. We use a Bayesian approach where the solution to the inverse problem is given by the posterior distribution of the permeability field given the flow and ...
Anirban Mondal, Jia Wei
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Thou Shalt Not Squander Life – Comparing Five Approaches to Argument Strength
Different approaches analyze the strength of a natural language argument in different ways. This paper contrasts the dialectical, structural, probabilistic (or Bayesian), computational, and empirical approaches by exemplarily applying them to a single ...
Zenker Frank +4 more
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Background: Because of its convenience and robustness, the generalized estimating equations (GEE) method has been commonly used to fit marginal models of continuous outcomes in family studies.
Xi Chen +8 more
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Statistical learning starts at an early age and is intimately linked to brain development and the emergence of individuality. Through such a long period of statistical learning, the brain updates and constructs statistical models, with the model's ...
Tatsuya Daikoku +2 more
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Inspired by the Monty Hall Problem and a popular simple solution to it, we present a number of game-show puzzles that are analogous to the notorious Sleeping Beauty Problem (and variations on it), but much easier to solve.
Michel Janssen, Sergio Pernice
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Inequality in general and income inequality in particular have existed for a long time and tend to increase daily. Foreign direct investment (FDI) is expected to be an important factor contributing to mitigating that situation.
To Thi Hong Gam +2 more
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Inferring a Property of a Large System from a Small Number of Samples
Inferring the value of a property of a large stochastic system is a difficult task when the number of samples is insufficient to reliably estimate the probability distribution.
Damián G. Hernández, Inés Samengo
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After making some general remarks, I consider two examples that illustrate the use of Bayesian Probability Theory. The first is a simple one, the physicist's favorite "toy," that provides a forum for a discussion of the key conceptual issue of Bayesian ...
Prosper, Harrison B.
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A surrogate Bayesian framework for a SARS-CoV-2 data driven stochastic model
Dynamic compartmentalized data (DCD) and compartmentalized differential equations (CDEs) are key instruments for modeling transmission of pathogens such as the SARS-CoV-2 virus.
Ganesh M., Hawkins S. C.
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