Results 111 to 120 of about 7,656,330 (292)

A note on generalised information criteria for structured sparse models

open access: yesInternational Statistical Review, EarlyView.
Summary We propose a generalised information criteria ( gic) that accounts for sparsity pattern in the model. We obtain both asymptotic and nonasymptotic results for model selection. Moreover, we show that the gic is useful for selecting the regularisation parameter in regularised m$$ m $$ estimation in high‐dimensional scenarios.
Eduardo Fonseca Mendes   +1 more
wiley   +1 more source

CONVERGENCE OF EXTRAGRADIENT ALGORITHM WITH MONOTONE STEP-SIZE STRATEGY FOR VARIATIONAL INEQUALITIES AND OPERATOR EQUATIONS

open access: yesМіжнародний науково-технічний журнал "Проблеми керування та інформатики"
A variational inequalities and operator equations in an infinite dimensional Hilbert space with additional conditions for the type of inclusion in the set of fixed points of a given operator are considered. For an approximate solution of the problems, a
С.В. Денисов   +3 more
doaj   +1 more source

A characterization of Bi-Lipschitz embeddable metric spaces in terms of local Bi-Lipschitz embeddability [PDF]

open access: yes, 2011
We characterize uniformly perfect, complete, doubling metric spaces which embed bi-Lipschitzly into Euclidean space. Our result applies in particular to spaces of Grushin type equipped with Carnot-Carath ́eodory distance.
Seo, Jeehyeon
core  

Fairness‐aware insurance pricing: A multi‐objective optimization approach

open access: yesJournal of Risk and Insurance, EarlyView.
Abstract Machine‐learning models can provide accurate predictions in insurance pricing, but can also increase disparities between protected groups. Existing fairness‐aware pricing approaches typically target one fairness notion at a time, making it difficult to compare trade‐offs between predictive accuracy, group fairness, individual fairness, and ...
Tim J. Boonen, Xinyue Fan, Zixiao Quan
wiley   +1 more source

Copie-Buch von Geh.-Rath. Professor Dr. phil. R. Lipschitz Bonn. No. 1

open access: yes, 1881
Enthält 38 Briefdurchschläge von Briefen Lipschitz' an verschiedene Adressaten, auf Durchschlagpapier. Gezählte Blätter 1-102, 146-147. Alphabetisches Register (unvollständig) Teilweise schlecht, teilweise nicht lesbar.Nachträglich gebunden, vermutlich ...
Lipschitz, Rudolf
core  

Letter Written by Nathaniel Lipschitz to the Bryant College Service Club Dated April 4, 1943 [PDF]

open access: yes, 1943
[Transcription begins] April 4, 1943 Chairman of the Bryant Service Club c/o Bryant College Providence, R. I. Dear Friend, Your little gift came in a few days after I wrote my last letter to you.
Lipschitz, Nathaniel
core  

Functional Vašiček Model

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We propose a new formulation of the Vašičekmodel within the framework of functional data analysis. We treat observations (continuous‐time rates) within a suitably defined trading day as a single statistical object. We then consider a sequence of such objects, indexed by day.
Piotr Kokoszka   +4 more
wiley   +1 more source

Density‐Valued ARMA Models by Spline Mixtures

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT This paper proposes a novel framework for modeling time series of probability density functions by extending autoregressive moving average (ARMA) models to density‐valued data. The method is based on a transformation approach, wherein each density function on a compact domain [0,1]d$$ {\left[0,1\right]}^d $$ is approximated by a B‐spline ...
Yasumasa Matsuda, Rei Iwafuchi
wiley   +1 more source

Copie-Buch von Geh.-Rath. Professor Dr. phil. R. Lipschitz Bonn. No. 1 / Brief an Herr Geheimer Rath [Hermann Bonitz]!

open access: yes, 1884
Adressat mutmaßlich ermittelt durch Inhalt des Briefes von Rudolf Lipschitz an Hermann Bonitz vom 23.12.1884.R ...
Lipschitz, Rudolf
core  

Robust CDF‐Filtering of a Location Parameter

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania   +2 more
wiley   +1 more source

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