Results 11 to 20 of about 145,972 (266)
Extra-parametrized extreme value copula : Extension to a spatial framework [PDF]
Spatial Statistics, 2020 Hazard assessment at a regional scale may be performed thanks to a spatial model for maxima including a characterization of the spatial dependence structure. Such a spatial model can be obtained by combining the generalized extreme-value (GEV) distribution for the univariate marginal distributions with extreme-value copulas to describe their dependence
Carreau, Julie, Toulemonde, Gwladys
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Extensions of Some Parametric Families of D(16)-Triples
International Journal of Mathematics and Mathematical Sciences, 2007 Let n be an integer. A set of m positive integers is called a D(n)-m-tuple if the product of any two of them increased by n is a perfect square. In this paper, we consider extensions of some parametric families of D(16)-triples. We prove that if {k−4,k+4,
Alan Filipin
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Unimodality of Parametric Linear Programming Solutions and Efficient Quantile Estimation
AppliedMath, 2023 For linear optimization problems with a parametric objective, so-called parametric linear programs (PLP), we show that the optimal decision values are, under few technical restrictions, unimodal functions of the parameter, at least in the two-degrees-of ...
Sara Mollaeivaneghi +2 more
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On parametric extensions over number fields [PDF]
ANNALI SCUOLA NORMALE SUPERIORE - CLASSE DI SCIENZE, 2018 Given a number field $F$, a finite group $G$ and an indeterminate $T$, {\it{a $G$-parametric extension over $F$}} is a finite Galois extension $E/F(T)$ with Galois group $G$ and $E/F$ regular that has all the Galois extensions of $F$ with Galois group $G$ among its specializations.
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Demonstratio Mathematica, 2020 In this article, we study the generalized parabolic parametric Marcinkiewicz integral operators ℳΩ,h,Φ,λ(r){ {\mathcal M} }_{{\Omega },h,{\Phi },\lambda }^{(r)} related to polynomial compound curves.
Ali Mohammed, Katatbeh Qutaibeh
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Semiparametric Multinomial Logit Models for Analysing Consumer Choice Behaviour [PDF]
, 2006 The multinomial logit model (MNL) is one of the most frequently used statistical models in marketing applications. It allows to relate an unordered categorical response variable, for example representing the choice of a brand, to a vector of covariates ...
Baumgartner, Bernhard +2 more
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Bootstrap Model-Based Constrained Optimization Tests of Indirect Effects
Frontiers in Psychology, 2020 In mediation analysis, conditions necessary for commonly recommended tests, including the confidence interval (CI)-based tests, to produce an accurate Type I error, do not generally hold for finite sample sizes and non-normally distributed model ...
Davood Tofighi
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Approximation of Densities on Riemannian Manifolds
Entropy, 2019 Finding an approximate probability distribution best representing a sample on a measure space is one of the most basic operations in statistics. Many procedures were designed for that purpose when the underlying space is a finite dimensional Euclidean ...
Alice le Brigant, Stéphane Puechmorel
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How robust are particle physics predictions in asymptotic safety?
European Physical Journal C: Particles and Fields, 2023 The framework of trans-Planckian asymptotic safety has been shown to generate phenomenological predictions in the Standard Model and in some of its simple new physics extensions.
Wojciech Kotlarski +3 more
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Parametricity for Nested Types and GADTs [PDF]
Logical Methods in Computer Science, 2021 This paper considers parametricity and its consequent free theorems for nested data types. Rather than representing nested types via their Church encodings in a higher-kinded or dependently typed extension of System F, we adopt a functional programming ...
Patricia Johann, Enrico Ghiorzi
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