Results 81 to 90 of about 149 (141)

Spatiotemporal Heterogeneity Learning: Generalized SpatioTemporal Semi-Varying Coefficient Models With Structure Identification. [PDF]

J Time Ser Anal
Gu Z, Li X, Wang G, Wang L.
europepmc   +1 more source

Learning from dependent observations

In most papers establishing consistency for learning algorithms it is assumed that the observations used for training are realizations of an i.i.d. process. In this paper we go far beyond this classical framework by showing that support vector machines (
Scovel, Clint, Hush, Don, Steinwart, Ingo   +2 more
core  

Scalar-on-Function Mode Estimation Using Entropy and Ergodic Properties of Functional Time Series Data. [PDF]

Entropy (Basel)
Alamari MB, Almulhim FA, Almanjahie IM, Bouzebda S, Laksaci A.   +4 more
europepmc   +1 more source

Local polynomial regression for pooled response data. [PDF]

J Nonparametr Stat, 2020
Wang D, Mou X, Li X, Huang X.
europepmc   +1 more source

A class of transformed joint quantile time series models with applications to health studies. [PDF]

Comput Stat
Tourani-Farani F, Aghabazaz Z, Kazemi I.
europepmc   +1 more source

The asymptotic normality of internal estimator for nonparametric regression. [PDF]

J Inequal Appl, 2018
Li P, Li X, Chen L.
europepmc   +1 more source

Model checking in errors-in-variables regression

This paper discusses a class of minimum distance tests for fitting a parametric regression model to a class of regression functions in the errors-in-variables model.
Song, Weixing
core  

NONLINEAR GLOBAL FRÉCHET REGRESSION FOR RANDOM OBJECTS VIA WEAK CONDITIONAL EXPECTATION. [PDF]

Ann Stat
Bhattacharjee S, Li B, Xue L.
europepmc   +1 more source

Local linear smoothing for regression surfaces on the simplex using Dirichlet kernels. [PDF]

Stat Pap (Berl)
Genest C, Ouimet F.
europepmc   +1 more source

A New Bayesian Single Index Model with or without Covariates Missing at Random. [PDF]

Bayesian Anal, 2020
Dhara K, Lipsitz S, Pati D, Sinha D.
europepmc   +1 more source