1 citations · 1 across the 6 of their papers we have counts for
6 papers
Robust Variable Selection in High-dimensional Nonparametric Additive Model
Suneel Babu Chatla, Abhijit Mandal
Additive models belong to the class of structured nonparametric regression models that do not suffer from the curse of dimensionality. Finding the additive components that are nonz…
Inverse regression for spatially distributed functional data
Suneel Babu Chatla, Ruiqi Liu
Spatially distributed functional data are prevalent in many statistical applications such as meteorology, energy forecasting, census data, disease mapping, and neurological studies…
Nonparametric inference for additive models estimated via simplified smooth backfitting
Suneel Babu Chatla
We investigate hypothesis testing in nonparametric additive models estimated using simplified smooth backfitting (Huang and Yu, Journal of Computational and Graphical Statistics, \…
Selected Topics in Statistical Computing
Suneel Babu Chatla, Chun-houh Chen, Galit Shmueli
The field of computational statistics refers to statistical methods or tools that are computationally intensive. Due to the recent advances in computing power some of these methods…
A Tree-based Semi-Varying Coefficient Model for the COM-Poisson Distribution
Suneel Babu Chatla, Galit Shmueli
We propose a tree-based semi-varying coefficient model for the Conway-Maxwell- Poisson (CMP or COM-Poisson) distribution which is a two-parameter generalization of the Poisson dist…
Efficient Estimation of COM-Poisson Regression and Generalized Additive Model
Suneel Babu Chatla, Galit Shmueli
The Conway-Maxwell-Poisson (CMP) or COM-Poison regression is a popular model for count data due to its ability to capture both under dispersion and over dispersion. However, CMP re…