Results 11 to 20 of about 29,999,610 (319)
SSRN Electronic Journal, 2016 44 pages; a trivial typo corrected, references updated; to appear in The Journal of Investment Strategies.
Zura Kakushadze, Willie Yu
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Fluctuations in Statistical Models [PDF]
Proceedings of Critical Point and Onset of Deconfinement - 4th International Workshop — PoS(CPOD07), 2008 Proceedings of 4th International Workshop ``Critical Point and Onset of Deconfinement'', July 9-13, 2007, Darmstadt ...
Gorenstein, Mark I.
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Statistical models with uncertain error parameters
European Physical Journal C: Particles and Fields, 2019 In a statistical analysis in Particle Physics, nuisance parameters can be introduced to take into account various types of systematic uncertainties. The best estimate of such a parameter is often modeled as a Gaussian distributed variable with a given ...
Glen Cowan
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Tropical geometry of statistical models [PDF]
Proceedings of the National Academy of Sciences, 2004 This article presents a unified mathematical framework for inference in graphical models, building on the observation that graphical models are algebraic varieties. From this geometric viewpoint, observations generated from a model are coordinates of a point in the variety, and the sum-product algorithm is an efficient tool for evaluating specific ...
Pachter, Lior, Sturmfels, Bernd
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Active Learning with Statistical Models [PDF]
Neural Information Processing Systems, 1996 For many types of learners one can compute the statistically "optimal" way to select data. We review how these techniques have been used with feedforward neural networks [MacKay, 1992; Cohn, 1994].
D. Cohn +2 more
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Minimize the sum of the error boxes in the multi-linear regression model using the genetic algorithm [PDF]
مجلة التربية والعلم, 2018 Regression models are regarded as the most important ones used in statistical models in defining the relation among variables through the available data which can be applied to various sciences .
Hamsa Mohammed
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Comparison and evaluation of statistical error models for scRNA-seq
Genome Biology, 2021 Heterogeneity in single-cell RNA-seq (scRNA-seq) data is driven by multiple sources, including biological variation in cellular state as well as technical variation introduced during experimental processing.
S. Choudhary, R. Satija
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Health Technology Assessment, 2020 Background: Cost-effectiveness analysis using quality-adjusted life-years as the measure of health benefit is commonly used to aid decision-makers. Clinical studies often do not include preference-based measures that allow the calculation of quality ...
Mónica Hernández Alava +4 more
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Fisher’s significance test: A gentle introduction
GMS Medizinische Informatik, Biometrie und Epidemiologie, 2020 The p-value is often misunderstood and, for example, misinterpreted as a probability for the correctness of the null hypothesis. The aim of this article is to first explain the definition of the p-value.
Stang, Andreas, Kowall, Bernd
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An introduction to statistical learning with applications in R
Statistical Theory and Related Fields, 2021 The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.
Fariha Sohil +2 more
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