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When good theories make bad predictions
8 references·2 citing·39 second hop
When good theories make bad predictions (2006)When good theories make bad predictionsThe devil in the details : asymptotic reasoning in explanation, reduction, and emergence (2002)The devil in the details : as…Introduction to Time Series and Forecasting (2002)Introduction to Time Series a…The Devil in the Details (2001)The Devil in the DetailsModels, Confirmation, and Chaos (1998)Models, Confirmation, and Cha…Explaining Chaos (1998)Explaining ChaosSimple Theories of a Messy World: Truth and Explanatory Power in Nonlinear Dynamics (1996)Simple Theories of a Messy Wo…Determinism, Predictability and Chaos (1987)Determinism, Predictability a…Statistical Explanation and Ergodic Theory (1973)Statistical Explanation and E…We Have Big Data, But Do We Need Big Theory? Review-Based Remarks on an Emerging Problem in the Social Sciences (2023)We Have Big Data, But Do We N…The Analytic Versus Representational Theory of Measurement: A Philosophy of Science Perspective (2008)The Analytic Versus Represent…Patrick Suppes and Joseph L. Zinnes. Basic measurement theory. Handbook of mathematical psychology, Volume I, edited by R. Duncan Luce, Robert R. Bush, and Eugene Galanter, John Wiley and Sons, Inc., New York and London1963, pp. 1–76. (1971)The Scientific Image. (1982)Foundations of Measurement (1990)The Scientific Image (1980)How the Laws of Physics Lie (1983)Studies in the Logic of Explanation (1948)Statistical Explanation and Statistical Relevance (1971)The Nature and Function of Scientific Theories (1971)Non-reductive Physicalism and Degrees of Freedom (2009)Typicality, Irreversibility and the Status of Macroscopic Laws (2014)Typical: A Theory of Typicality and Typicality Explanation (2019)The Aim and Structure of Physical Theory (1954)How the Laws of Physics Lie (1983)Nichtwissenskommunikation in den Wissenschaften (2012)Mess in Science and Wicked Problems (2020)Explanation and Scientific Understanding (1974)Special sciences (or: The disunity of science as a working hypothesis) (1974)Towards a unified science of cultural evolution (2006)Less is Different: Emergence and Reduction Reconciled (2010)The meaning of ‘meaning’ (2010)Emergence, Reduction and Supervenience: A Varied Landscape (2011)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Generalized autoregressive conditional heteroskedasticity (1986)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Analysis of Financial Time Series (2006)Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure (2016)Financial time series forecasting model based on CEEMDAN and LSTM (2018)The Structure of Scientific Revolutions (1963)Multiparadigm Perspectives on Theory Building (1990)The international encyclopedia of education (1994)Propensities and Indeterminism (1995)Plato on Necessity and Chaos (2005)Problematizing Fit and Survival: Transforming the Law of Requisite Variety Through Complexity Misalignment (2015)Divine Action and Modern Science (2002)The Philosophy of Simulation: How New Issues or Same Old Stew? (2009)Against Counterfactual Miracles (2016)Who’s Afraid of Nagelian Reduction? (2010)Minimal Model Explanations (2014)Understanding, Explanation, and Scientific Knowledge (2017)
this work references cited by second hop

References

  • 2002Introduction to Time Series and Forecasting3,913 cited
  • 2002The devil in the details : asymptotic reasoning in explanation, reduction, and emergence493 cited
  • 2001The Devil in the Details309 cited
  • 1998Explaining Chaos164 cited
  • 1973Statistical Explanation and Ergodic Theory60 cited
  • 1998Models, Confirmation, and Chaos22 cited
  • 1996Simple Theories of a Messy World: Truth and Explanatory Power in Nonlinear Dynamics22 cited
  • 1987Determinism, Predictability and Chaos22 cited

Cited by

  • 2023We Have Big Data, But Do We Need Big Theory? Review-Based Remarks on an Emerging Problem in the Social Sciences8 cited
  • 2008The Analytic Versus Representational Theory of Measurement: A Philosophy of Science Perspective8 cited

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