Results 21 to 30 of about 123 (106)
Sequential Kernel Estimation of the Conditional Intensity of Nonstationary Point Processes
, 2006 California earthquakes, exponential weighting, prediction error criteria, sequential nonparametric regression, space–time point processes, Primary: 60G55, 62G07, 62L12, Secondary: 62G08, 62M30, 86A32,
Carlo Grillenzoni, GRILLENZONI, CARLO
core +1 more source
Root-n consistency in weighted L 1 -spaces for density estimators of invertible linear processes [PDF]
, 2008 Kernel estimator, Plug-in estimator, Tightness criteria, Functional limit theorem, Infinite-order moving average process, Infinite-order autoregressive process, Primary: 62G07, 62G20, 62M05, 62M10,
Anton Schick, Wolfgang Wefelmeyer
core +1 more source
Demonstratio MathematicaThe aim of this article is to study a semi-functional partial linear regression model (SFPLR) for spatial data with responses missing at random (MAR).
Benchikh Tawfik +3 more
doaj +1 more source
Asymptotic unbiased density estimator [PDF]
, 2009 International audienceThis paper introduces a computationally tractable density estimator that has the same asymptotic variance as the classical Nadaraya-Watson density estimator but whose asymptotic bias is zero. We achieve this result using a two stage
Hengartner, Nicolas W. +1 more
core +1 more source
Contribution to the bandwidth choice for kernel density estimates
Kernel, Smoothing parameter, Iterative method, 62G07, 30C40,
Jiří Zelinka, Ivana Horová
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Global property of error density estimation in nonlinear autoregressive time series models
Nonlinear autoregressive model, Residuals, Stationary process, Error density estimation, Global measure, Primary: 62G07, Secondary: 62G20,
Fuxia Cheng
core +1 more source
A Theil-like class of inequality measures, its asymptotic normality theory and applications [PDF]
, 2019 In this paper, we consider a coherent theory about the asymptotic representations for a family of inequality indices called Theil-Like Inequality Measures (TLIM), within a Gaussian field. The theory uses the functional empirical process approach.
Ba, Diam +3 more
core +1 more source
Relative hazard rate estimation for right censored and left truncated data
Asymptotic representation, kernel estimator, survival analysis, two-sample comparison, 62G07, 60F05, 62G20,
Ricardo Cao +2 more
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Product-type and presmoothed hazard rate estimators with censored data
Bandwidth selection, Kernel smoothing, Mean integrated squared error, Survival analysis, 62G07, 60F05, 62G20,
Ignacio López-de-Ullibarri, Ricardo Cao
core +1 more source
Nonparametric inference with generalized likelihood ratio tests
Asymptotic null distribution, Bootstrap, Generalized likelihood ratio, Nonparametric test, Power function, Wilks’ phenomenon, 62G07, 62G10, 62J12,
Jiancheng Jiang, Jianqing Fan
core +1 more source