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SSRN Electronic Journal, 2017 We give complete algorithms and source code for constructing statistical risk models, including methods for fixing the number of risk factors. One such method is based on eRank (effective rank) and yields results similar to (and further validates) the ...
Kakushadze, Zura, Yu, Willie
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Fluctuations in statistical models [PDF]
Proceedings of Critical Point and Onset of Deconfinement - 4th International Workshop — PoS(CPOD07), 2007 Proceedings of 4th International Workshop "Critical Point and Onset of Deconfinement", July 9-13, 2007, Darmstadt, Germany: The multiplicity fluctuations of hadrons are studied within the statistical hadron-resonance gas model in the large volume limit ...
Gorenstein, Mark I.
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Tropical Geometry of Statistical Models [PDF]
Proceedings of the National Academy of Sciences, 2004 This paper presents a unified mathematical framework for inference in graphical models, building on the observation that graphical models are algebraic varieties.
Allman +4 more
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Algebraic statistical models [PDF]
Statistica Sinica 2007, Vol. 17, 1273-1297, 2007 Many statistical models are algebraic in that they are defined in terms of polynomial constraints, or in terms of polynomial or rational parametrizations.
Drton, Mathias, Sullivant, Seth
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Linear statistical models [PDF]
Dynamics of Atmospheres and Oceans, 1979 Hasselmann, K.
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Bayesian statistics and modelling [PDF]
Nature Reviews Methods Primers, 2021 Bayesian statistics is an approach to data analysis based on Bayes’ theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the ...
Mahlet G. Tadesse +12 more
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Demographic and epidemiological characteristics of scorpion envenomation and daily forecasting of scorpion sting counts in Touggourt, Algeria [PDF]
Epidemiology and Health, 2020 OBJECTIVES This study was conducted to provide better insights into the demographic and epidemiological characteristics of scorpion envenomation in an endemic area in Algeria and to identify the model that best predicted daily scorpion sting counts ...
Kaouthar Boubekeur +2 more
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GDP Forecasting: Machine Learning, Linear or Autoregression?
Frontiers in Artificial Intelligence, 2021 This paper compares the predictive power of different models to forecast the real U.S. GDP. Using quarterly data from 1976 to 2020, we find that the machine learning K-Nearest Neighbour (KNN) model captures the self-predictive ability of the U.S. GDP and
Giovanni Maccarrone +3 more
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Statistical models of fracture [PDF]
Advances in Physics, 2006 Disorder and long-range interactions are two of the key components that make material failure an interesting playfield for the application of statistical mechanics. The cornerstone in this respect has been lattice models of the fracture in which a network of elastic beams, bonds or electrical fuses with random failure thresholds are subject to an ...
Mikko J. Alava +2 more
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Costs of Facade Systems Execution [PDF]
Archives of Civil Engineering, 2020 Cost estimation in the pre-design phase both for the contractor as well as the investor is an important aspect from the point of view of budget planning for a construction project.
Agnieszka Leśniak +2 more
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