Results 281 to 290 of about 142,210 (310)
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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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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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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   +1 more
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Conditional density estimation

2022
Dag Tjøstheim   +2 more
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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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Conditional Gaussian Densities

2023
Daniela Calvetti, Erkki Somersalo
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Converting high-dimensional regression to high-dimensional conditional density estimation

Electronic Journal of Statistics, 2017
Rafael Izbicki, Ann B Lee
exaly  

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