Rajita Chandak
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View article: lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators
lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators Open
View article: On the Convergence of a Federated Expectation-Maximization Algorithm
On the Convergence of a Federated Expectation-Maximization Algorithm Open
Data heterogeneity has been a long-standing bottleneck in studying the convergence rates of Federated Learning algorithms. In order to better understand the issue of data heterogeneity, we study the convergence rate of the Expectation-Maxi…
View article: Convergence Rates of Oblique Regression Trees for Flexible Function Libraries
Convergence Rates of Oblique Regression Trees for Flexible Function Libraries Open
We develop a theoretical framework for the analysis of oblique decision trees, where the splits at each decision node occur at linear combinations of the covariates (as opposed to conventional tree constructions that force axis-aligned spl…
View article: lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators
lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators Open
The lpcde package provides R implementation of bandwidth selection, point estimation and inference procedures for local polynomial conditional distribution and density methods. This is the companion software for Cattaneo, Chandak, Jansson …
View article: Boundary Adaptive Local Polynomial Conditional Density Estimators
Boundary Adaptive Local Polynomial Conditional Density Estimators Open
We begin by introducing a class of conditional density estimators based on local polynomial techniques. The estimators are boundary adaptive and easy to implement. We then study the (pointwise and) uniform statistical properties of the est…