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The Causal Nature of Modeling with Big Data · Study

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ArticleThe Causal Nature of Modeling with Big Data

Wolfgang Pietsch2015

Article2015

The Causal Nature of Modeling with Big Data

Wolfgang Pietsch

58 citations·0/0 files stored·Philosophy & Technology

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Philosophy and History of Science Bayesian Modeling and Causal Inference Big Data Technologies and Applications

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References

1983Representing and Intervening 2004Making things happen: a theory of causal explanation 1983How the Laws of Physics Lie 1999The Dappled World 2014Big Data, new epistemologies and paradigm shifts 1954The Aim and Structure of Physical Theory 1983How the Laws of Physics Lie 1973Causation

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2017The Scope of Big Data in One Medicine: Unprecedented Opportunities and Challenges 2019The challenges of big data biology 2020Understanding climate phenomena with data-driven models 2016Conceptions of Good Science in Our Data-Rich World 2019Big data and prediction: Four case studies 2021Big Data 2016Big Data, epistemology and causality: Knowledge in and knowledge out in EXPOsOMICS

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Details

Year2015

Typearticle

Published2015-06-18

VenuePhilosophy & Technology

ISSN-L2210-5433

Languageen

Citations58

Files0 public / 0

ShelfPhilosophy and History of Science

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doi10.1007/s13347-015-0202-2

openalex_workW2133164147

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2023

The importance of expert knowledge in big data and machine learning