Results 111 to 120 of about 233 (155)

Nonparametric Regression Method for Broad Sense Agreement. [PDF]

J Nonparametr Stat, 2017
Rahman AF, Peng L, Manatunga A, Guo Y.
europepmc   +1 more source

Sufficient dimension reduction for the conditional mean with a categorical predictor in multivariate regression

Recent sufficient dimension reduction methodologies in multivariate regression do not have direct application to a categorical predictor. For this, we define the multivariate central partial mean subspace and propose two methodologies to estimate it. The
Yoo, Jae Keun
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Time-varying copula models for longitudinal data. [PDF]

Stat Interface, 2018
Kürüm E, Hughes J, Li R, Shiffman S.
europepmc   +1 more source

Analysis of correlated binary data under partially linear single-index logistic models

Clustered data arise commonly in practice and it is often of interest to estimate the mean response parameters as well as the association parameters. However, most research has been directed to address the mean response parameters with the association ...
Liang, Hua, Yi, Grace Y., He, Wenqing
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On a Robust MaxEnt Process Regression Model with Sample-Selection. [PDF]

Entropy (Basel), 2018
Kim HJ, Bae M, Jin D.
europepmc   +1 more source

Flexible modeling based on copulas in nonparametric median regression

Consider the model Y=m(X)+[epsilon], where m([dot operator])=med(Y[dot operator]) is unknown but smooth. It is often assumed that [epsilon] and X are independent. However, in practice this assumption is violated in many cases.
Braekers, Roel, Van Keilegom, Ingrid
core  

Nonlinear sufficient dimension reduction for distribution-on-distribution regression. [PDF]

J Multivar Anal
Zhang Q, Li B, Xue L.
europepmc   +1 more source

Deconvolution estimation of mixture distributions with boundaries. [PDF]

Electron J Stat, 2013
Lee M, Hall P, Shen H, Marron JS, Tolle J, Burch C.   +5 more
europepmc   +1 more source

A ROBUST AND EFFICIENT APPROACH TO CAUSAL INFERENCE BASED ON SPARSE SUFFICIENT DIMENSION REDUCTION. [PDF]

Ann Stat, 2019
Ma S, Zhu L, Zhang Z, Tsai CL, Carroll RJ.   +4 more
europepmc   +1 more source

Variance function estimation in multivariate nonparametric regression with fixed design

Variance function estimation in multivariate nonparametric regression is considered and the minimax rate of convergence is established in the iid Gaussian case. Our work uses the approach that generalizes the one used in [A. Munk, Bissantz, T. Wagner, G.
Wang, Lie, Levine, Michael, Cai, T. Tony
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