Results 271 to 280 of about 2,902,077 (302)

On Density Conditions for Interpolation in the Ball

Canadian Mathematical Bulletin, 2003
AbstractIn this paper we study interpolating sequences for two related spaces of holomorphic functions in the unit ball of Cn, n > 1. We first give density conditions for a sequence to be interpolating for the class A−∞ of holomorphic functions with polynomial growth.
Marco, Nicolas, Massaneda, Xavier
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Adaptive Estimation of a Conditional Density

International Statistical Review, 2015
SummaryThe authors consider the problem of estimating a conditional density by a conditional kernel density estimate when the error associated with the estimate is measured by theL1‐norm. On the basis of the combinatorial method of Devroye and Lugosi (), they propose a method for selecting the bandwidths adaptively and for providing a theoretical ...
Bott, Ann-Kathrin, Kohler, Michael
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A CONDITIONAL DENSITY FOR CARMICHAEL NUMBERS

Bulletin of the Australian Mathematical Society, 2020
Under sufficiently strong assumptions about the first prime in an arithmetic progression, we prove that the number of Carmichael numbers up to$X$is$\gg X^{1-R}$, where$R=(2+o(1))\log \log \log \log X/\text{log}\log \log X$. This is close to Pomerance’s conjectured density of$X^{1-R}$with$R=(1+o(1))\log \log \log X/\text{log}\log X$.
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A NOTE ON DENSITY AND THE DIRICHLET CONDITION

International Journal of Number Theory, 2012
Motivated by topological approaches to Euclid and Dirichlet's theorems on infinitude of primes, we introduce and study [Formula: see text]-coprime topologies on a commutative ring R with an identity and without zero divisors. For infinite semiprimitive commutative domain R of finite character (i.e.
Marko, František, Porubský, Štefan
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SVM method of estimating density, conditional probability, and conditional density

2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 2002
The problem of estimating density, conditional probability, and conditional density is considered as an ill-posed problem of solving integral equations. To solve these equations the support vector method (SVM) is used.
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Autoregressive Conditional Density Estimation

International Economic Review, 1994
Summary: \textit{R. F. Engle's} ARCH model [Econometrica 50, 987-1007 (1982; Zbl 0491.62099)] is extended to permit parametric specifications for conditional dependence beyond the mean and variance. The suggestion is to model the conditional density with a small number of ``parameters'', and then model these parameters as functions of the conditioning ...
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Density Deconvolution of Different Conditional Distributions

Annals of the Institute of Statistical Mathematics, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pensky, Marianna, Zayed, Ahmed I.
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Model Selection Using Conditional Densities

Communications in Statistics - Simulation and Computation, 2007
In this article we propose a new method to select a discrete model f(x; θ), based on the conditional density of a sample given the value of a sufficient statistic for θ. The main idea is to work with a broad family of discrete distributions, called the family of power series distribution, for which there is a common sufficient statistic for the ...
Alberto Contreras-Cristán, José M. González-Barrios   +1 more
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Density conditions

2021
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Density and Housing Condition

2010
Abstract In discussions of housing and ecological sustainability in the urban studies discourse, housing conditions and housing forms are commonly summarised by the measure of density. The paradigm has been questioned and disputed by authors within the housing discipline; however, in each case, there is no extensive research to substantiate the claims.
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