Results 21 to 30 of about 542,050 (166)
We study the complete consistency for estimator of nonparametric regression model based on ρ~-mixing sequences by using the classical Rosenthal-type inequality and the truncated method. As an application, the complete consistency for the nearest neighbor
Xuejun Wang +4 more
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Recursive Estimation of the Expectile-Based Shortfall in Functional Ergodic Time Series
This paper considers the Recursive Kernel Estimator (RKE) of the expectile-based conditional shortfall. The estimator is constructed under a functional structure based on the ergodicity assumption.
Fatimah A. Almulhim +3 more
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A System of Complete and Consistent Truth
The system FS (in honor of Friedman and Sheard, according to the author) is obtained from PA (= Peano arithmetic with all the primitive recursive functions) by adding the truth predicate \(T(\;)\). New axioms dictate that \(T\) commutes with quantifiers and connectives, and new rules are: from \(\varphi\), infer \(T\varphi\); and, conversely, from \(T \
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Completeness and consistency of renormalization group flows [PDF]
33 pages, 15 figures, revtex, typos corrected, to be published in Phys.Rev ...
Litim, Daniel F, Pawlowski, Jan M
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The hesitant multiplicative preference relation (HMPR) was initially put forward in 2013. Utilizing the HMPR, the decision makers can give some possible preference values from the Saaty's 1-9 scale for pairwise comparisons over alternatives.
Mingwei Lin +3 more
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Y-Calculus: A Language for Real Matrices Derived from the ZX-Calculus [PDF]
We introduce a ZX-like diagrammatic language devoted to manipulating real matrices – and rebits –, with its own set of axioms. We prove the necessity of some non trivial axioms of these. We show that some restriction of the language is complete.
Emmanuel Jeandel +2 more
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Image Completion And Extrapolation With Contextual Cycle Consistency [PDF]
Image Completion refers to the task of filling in the missing regions of an image and Image Extrapolation refers to the task of extending an image at its boundaries while keeping it coherent. Many recent works based on GAN have shown progress in addressing these problem statements but lack adaptability for these two cases, i.e.
Sai Hemanth Kasaraneni, Abhishek Mishra
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Nonparametric Expectile Shortfall Regression for Complex Functional Structure
This paper treats the problem of risk management through a new conditional expected shortfall function. The new risk metric is defined by the expectile as the shortfall threshold.
Mohammed B. Alamari +3 more
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Consistency of the total least squares estimator in the linear errors-in-variables regression
This paper deals with a homoskedastic errors-in-variables linear regression model and properties of the total least squares (TLS) estimator. We partly revise the consistency results for the TLS estimator previously obtained by the author [18]. We present
Sergiy Shklyar
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Spatio-Functional Nadaraya–Watson Estimator of the Expectile Shortfall Regression
The main aim of this paper is to consider a new risk metric that permits taking into account the spatial interactions of data. The considered risk metric explores the spatial tail-expectation of the data.
Mohammed B. Alamari +3 more
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