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Metainference: A Bayesian inference method for heterogeneous systems

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jan 2016Embargo end date: 01 Jan 2015 Italy English Publisher:American Association for the Advancement of Science (AAAS)Journal:Science Advances, volume 2 (eissn: 2375-2548, Copyright policy )
Authors: Massimiliano Bonomi; Carlo Camilloni; Andrea Cavalli; Michele Vendruscolo;

doi: 10.1126/sciadv.1501177 , 10.48550/arxiv.1509.05684

pmid: 26844300

pmc: PMC4737209

arXiv: 1509.05684

handle: 2434/494703

Metainference: A Bayesian inference method for heterogeneous systems

Abstract

Researchers present a Bayesian inference method for heterogeneous systems that integrates prior information with noisy experimental data.

Country
Italy
Related Organizations
Keywords

[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Entropy, Proteins, FOS: Physical sciences, Bayes Theorem, maximum entropy principle; Statistical inference; structural biology; Entropy; Proteins; Bayes Theorem; Models, Theoretical; Medicine (all), Models, Theoretical, Computational Physics (physics.comp-ph), Maximum entropy principle, Quantitative Biology - Quantitative Methods, [CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistry, Physics - Data Analysis, Statistics and Probability, FOS: Biological sciences, info:eu-repo/classification/udc/61, Structural biology, Physics - Computational Physics, Statistical inference, Research Articles, Data Analysis, Statistics and Probability (physics.data-an), Quantitative Methods (q-bio.QM)

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 203
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
203
Top 1%
Top 10%
Top 1%
Green
gold