Results 31 to 40 of about 3,836,386 (143)
Journal of Mathematics, Volume 2023, Issue 1, 2023., 2023 This study investigates the estimation of the regression function using the kernel method in the presence of missing at random responses, assuming spatial dependence, and complete observation of the functional regressor. We construct the asymptotic properties of the established estimator and derive the probability convergence (with rates) as well as ...
Fatimah Alshahrani +5 more
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Affine Connection Representation of Gauge Fields
Advances in High Energy Physics, Volume 2022, Issue 1, 2022., 2022 There are two ways to unify gravitational field and gauge field. One is to represent gravitational field as principal bundle connection, and the other is to represent gauge field as affine connection. Poincaré gauge theory and metric‐affine gauge theory adopt the first approach. This paper adopts the second.
Zhao-Hui Man, Sunny Vagnozzi
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Advances in Mathematical Physics, Volume 2021, Issue 1, 2021., 2021 In this article, Box‐Cox and Yeo‐Johnson transformation models are applied to two time series datasets of monthly temperature averages to improve the forecast ability. An application algorithm was proposed to transform the positive original responses using the first model and the stationary responses using the second model to improve the nonparametric ...
Sameera Abdulsalam Othman +2 more
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Theoretical Economics, Volume 16, Issue 1, Page 129-160, January 2021., 2021 Predictions about the future are commonly evaluated through statistical tests. As shown by recent literature, many known tests are subject to adverse selection problems and cannot discriminate between forecasters who are competent and forecasters who are uninformed but predict strategically.
Luciano Pomatto
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Caristi Type Coincidence Point Theorem in Topological Spaces
Journal of Applied Mathematics, 2013 A generalized Caristi type coincidence point theorem and its equivalences in the setting of topological spaces by using a kind of nonmetric type function are obtained.
Jiang Zhu, Lei Wei, Cheng-Cheng Zhu
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Properties of distance spaces with power triangle inequalities
Karpatsʹkì Matematičnì Publìkacìï, 2016 Metric spaces provide a framework for analysis and have several very useful properties. Many of these properties follow in part from the triangle inequality.
D. Greenhoe
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Groups acting on semimetric spaces and quasi-isometries of monoids [PDF]
Transactions of the American Mathematical Society, 2012 We study groups acting by length-preserving transformations on spaces equipped with asymmetric, partially-defined distance functions. We introduce a natural notion of quasi-isometry for such spaces and exhibit an extension of the Švarc-Milnor lemma to this setting.
Gray, Robert, Kambites, Mark
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Bayesian Inference for Multivariate Monotone Densities
Scandinavian Journal of Statistics, Volume 53, Issue 3, Page 1206-1229, September 2026.ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
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A contraction principle in semimetric spaces
, 2014 A branch of generalizations of the Banach Fixed Point Theorem replaces contractivity by a weaker but still effective property. The aim of the present note is to extend the contraction principle in this spirit for such complete semimetric spaces that fulfill an extra regularity property. The stability of fixed points is also investigated in this setting.
Bessenyei, Mihály, Páles, Zsolt
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Alternative Approaches for Estimating Highest‐Density Regions
International Statistical Review, Volume 94, Issue 1, Page 97-120, April 2026.Summary Among the variety of statistical intervals, highest‐density regions (HDRs) stand out for their ability to effectively summarise a distribution or sample, unveiling its distinctive and salient features. An HDR represents the minimum size set that satisfies a certain probability coverage, and current methods for their computation require ...
Nina Deliu, Brunero Liseo
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