Linear Wavelet-Based Estimators of Partial Derivatives of Multivariate Density Function for Stationary and Ergodic Continuous Time Processes. [PDF]
Entropy (Basel)Didi S, Bouzebda S.
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A score test for variance components in a semiparametric mixed-effects model under non-normality
, 2011 Yan Sun, Jin-Ting Zhang
semanticscholar +1 more source
A refined Jensen's inequality in Hilbert spaces and empirical approximations
Let be a convex mapping and a Hilbert space. In this paper we prove the following refinement of Jensen's inequality: for every A,B such that and B[subset of]A.
Leorato, S.
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TSSS: A Novel Triangulated Spherical Spline Smoothing for Surface-Based Data. [PDF]
J Nonparametr StatGu Z, Yu S, Wang G, Lai MJ, Wang L.
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Automatic Structure Discovery for Varying-coefficient Partially Linear Models. [PDF]
Commun Stat Theory Methods, 2017 Yang G, Sun Y, Cui X.
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Adaptive statistical parametric mapping for fMRI
, 2010 Ping Bai +3 more
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ESTIMATION OF A MONOTONE DENSITY IN S-SAMPLE BIASED SAMPLING MODELS. [PDF]
Ann Stat, 2018 Chan KCG, Ling HK, Sit T, Yam SCP.
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A minimum discrepancy approach to multivariate dimension reduction via k-means inverse regression ∗
, 2009 X. Wen, C. Setodji, A. Adekpedjou
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A note on the Bayes factor in a semiparametric regression model
In this paper, we consider a semiparametric regression model where the unknown regression function is the sum of parametric and nonparametric parts. The parametric part is a finite-dimensional multiple regression function whereas the nonparametric part ...
Choi, Taeryon +2 more
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Quantile regression based method for characterizing risk-specific behavioral patterns in relation to longitudinal left-censored biomarker data collected from heterogeneous populations. [PDF]
J Appl StatLee M +4 more
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