Results 31 to 40 of about 5,105,361 (177)
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
wiley +1 more source
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
wiley +1 more source
Continuous selections of set-valued mappings and approximation in asymmetric and semilinear spaces
Izvestiya: Mathematics, 2023 The Michael selection theorem is extended to the case of set-valued mappings with not necessarily convex values. Classical approximation problems on cone-spaces with symmetric and asymmetric seminorms are considered.
I. G. Tsar'kov
semanticscholar +1 more source
On the Relationship between Convex Bodies Related to Correlation Experiments with Dichotomic Observables [PDF]
, 2006 In this paper we explore further the connections between convex bodies related to quantum correlation experiments with dichotomic variables and related bodies studied in combinatorial optimization, especially cut polyhedra.
+23 more
core +3 more sources
Additive regression for non-Euclidean responses and predictors
Annals of Statistics, 2021 Additive regression is studied in a very general setting where both the response and predictors are allowed to be non-Euclidean. The response takes values in a general separable Hilbert space, whereas the predictors take values in general semimetric ...
Jeong Min Jeon, B. Park, I. Van Keilegom
semanticscholar +1 more source
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
doaj +1 more source
Couplings and Strong Approximations to Time Dependent Empirical Processes Based on I.I.D. Fractional Brownian Motions [PDF]
, 2016 We define a time dependent empirical process based on $n$ i.i.d.~fractional Brownian motions and establish Gaussian couplings and strong approximations to it by Gaussian processes.
Kevei, Péter, Mason, David M.
core +2 more sources
Coincidence point theorems in some generalized metric spaces
Studia Universitatis Babeş-Bolyai. Mathematica, 2023 "Let (X, d) be a complete dislocated metric space, (Y, ρ) be a semimetric space and f, g : X → Y be two mappings. Several coincidence point results are obtained for singlevalued and multivalued mappings.
Alexandru-Darius Filip
semanticscholar +1 more source
Functional models for time‐varying random objects [PDF]
Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2019 Functional data analysis provides a popular toolbox of functional models for the analysis of samples of random functions that are real valued. In recent years, samples of time‐varying object data such as time‐varying networks that are not in a vector ...
Paromita Dubey, H. Müller
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Proceedings of the American Mathematical Society, 1979 An example is constructed of a separable Moore space that does not possess a compatible K-semimetric.
openaire +1 more source