332 citations · 758 across the 13 of their papers we have counts for
14 papers
A note on a local entropy condition in the Wasserstein space
Chang Jun Im, Jeong Min Jeon, Byeong U. Park
Entropy conditions are widely used in empirical-process analyses to establish asymptotic properties of M-estimators. In regression problems with responses taking values in a genera…
Exponential Concentration for Geometric-Median-of-Means in Non-Positive Curvature Spaces
Ho Yun, Byeong U. Park
In Euclidean spaces, the empirical mean vector as an estimator of the population mean is known to have polynomial concentration unless a strong tail assumption is imposed on the un…
Additive Models for Symmetric Positive-Definite Matrices, Riemannian Manifolds and Lie groups
Zhenhua Lin, Hans-Georg Müller, Byeong U. Park
In this paper an additive regression model for a symmetric positive-definite matrix valued response and multiple scalar predictors is proposed. The model exploits the abelian group…
Asymptotics for in-sample density forecasting
Young K. Lee, Enno Mammen, Jens P. Nielsen +1
This paper generalizes recent proposals of density forecasting models and it develops theory for this class of models. In density forecasting, the density of observations is estima…
Flexible generalized varying coefficient regression models
Young K. Lee, Enno Mammen, Byeong U. Park
This paper studies a very flexible model that can be used widely to analyze the relation between a response and multiple covariates. The model is nonparametric, yet renders easy in…
Projection-type estimation for varying coefficient regression models
Young K. Lee, Enno Mammen, Byeong U. Park
In this paper we introduce new estimators of the coefficient functions in the varying coefficient regression model. The proposed estimators are obtained by projecting the vector of…