Bayesreef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics Article Swipe

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Jodie Pall , Rohitash Chandra , Danial Azam , Tristan Salles , Jody M. Webster , R. Scalzo , Sally Cripps ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.1016/j.envsoft.2019.104610

Related Topics

Reef

Computer Science

Environmental Science

Coral Reef

Oceanography

Artificial Intelligence

Computer Vision

Concepts

Markov chain Monte Carlo Reef Parallel tempering Bayesian inference Bayesian probability Sampling (signal processing) Computer science Gibbs sampling Environmental science Inference Coral reef Oceanography Geology Artificial intelligence Computer vision Monte Carlo molecular modeling Filter (signal processing)

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Type: preprint
Language: en
Landing Page: https://doi.org/10.1016/j.envsoft.2019.104610
OA Status: green
Cited By: 4
References: 83
Related Works: 20
OpenAlex ID: https://openalex.org/W2887636180

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OpenAlex ID: https://openalex.org/W2887636180

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DOI: https://doi.org/10.1016/j.envsoft.2019.104610

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Title: Bayesreef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics

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Type: preprint

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Language: en

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Publication year: 2020

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Publication date: 2020-01-02

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Authors: Jodie Pall, Rohitash Chandra, Danial Azam, Tristan Salles, Jody M. Webster, R. Scalzo, Sally Cripps

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Landing page: https://doi.org/10.1016/j.envsoft.2019.104610

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Open access: Yes

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OA status: green

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OA URL: https://export.arxiv.org/pdf/1808.02763

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Concepts: Markov chain Monte Carlo, Reef, Parallel tempering, Bayesian inference, Bayesian probability, Sampling (signal processing), Computer science, Gibbs sampling, Environmental science, Inference, Coral reef, Oceanography, Geology, Artificial intelligence, Computer vision, Monte Carlo molecular modeling, Filter (signal processing)

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Cited by: 4

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Citations by year (recent): 2023: 1, 2022: 1, 2021: 1, 2019: 1

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References (count): 83

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Related works (count): 20

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