LINES
发表于 2025-3-25 06:02:11
Peak-Load Forecasting Using a Functional Semi-Parametric Approach, projections of the prediction variable to explain the response. The terms of such decomposition are estimated with a procedure which combines a spline approximation and the one-dimensional Nadaraya–Watson approach.
清真寺
发表于 2025-3-25 07:45:24
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Blood-Vessels
发表于 2025-3-25 14:52:20
A Nonparametric Causality Test: Detection of Direct Causal Effects in Multivariate Systems Using Corrected Partial Transfer Entropy,od of .-nearest neighbors. CPTE is evaluated on coupled stochastic systems with both linear and nonlinear interactions. Finally, we apply CPTE to economic data and investigate whether we can detect the direct causal effects among economic variables.
Haphazard
发表于 2025-3-25 19:50:23
2194-1009 ing renowned researchers from around the world.Provides impo.This volume is composed of peer-reviewed papers that have developed from the First Conference of the International Society for Non Parametric Statistics (ISNPS). This inaugural conference took place in Chalkidiki, Greece, June 15-19, 2012.
CHURL
发表于 2025-3-25 23:49:01
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stressors
发表于 2025-3-26 01:56:56
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dermatomyositis
发表于 2025-3-26 05:35:17
Advances in Permutation Tests for Covariates in a Mixture Model for Preference Data Analysis,ial models. In the present work a simulation study is presented to prove the good power behavior of a permutation test on the covariates of a complex model, with more than one covariate. Moreover a discussion on the minimum sample size needed to perform such permutation test is also given.
elucidate
发表于 2025-3-26 08:52:18
Semiparametric Generalized Estimating Equations in Misspecified Models,imating equations. The paper shows that the resulting estimator is asymptotically normal with a covariance matrix that crucially depends on the weight matrix used in the estimation process. The paper also considers efficient semiparametric classical minimum distance estimation. An example provides a
Fatten
发表于 2025-3-26 14:42:54
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OVER
发表于 2025-3-26 20:38:19
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