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20232026
most citedTesting distributional equality for functional random variables

2 citations · 4 across the 8 of their papers we have counts for

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8 papers

physics.optics2026

Quantitative Pulse Shape-Instability Analysis Using 2D-Runs FROG

Pedram Abdolghader, Rana Jafari, Abinash Das +3

We present a method for quantifying pulse-shape instability in a train of pulses using multi-shot Second-Harmonic-Generation Frequency-Resolved Optical Gating (SHG FROG). All versi…

math.ST2025

On High-Dimensional Change-Point Detection Based on Pairwise Distances

Spandan Ghoshal, Bilol Banerjee, Anil K. Ghosh

In change-point analysis, one aims at finding the locations of abrupt distributional changes (if any) in a sequence of multivariate observations. In this article, we propose some n…

math.ST2025★ 1 cited

Conditional Independence Testing Using Exchangeable Pairs

Bilol Banerjee

This article considers the problem of testing conditional independence between two random vectors \(bm X\) and \(\bm Y\) given a confounding random vector \(\bm Z\). An exchangeabl…

math.ST2024

Exact distribution-free tests of spherical symmetry applicable to high dimensional data

Bilol Banerjee, Anil K. Ghosh

We develop some graph-based tests for spherical symmetry of a multivariate distribution using a method based on data augmentation. These tests are constructed using a new notion of…

math.ST2024★ 1 cited

A Ball Divergence Based Measure For Conditional Independence Testing

Bilol Banerjee, Bhaswar B. Bhattacharya, Anil K. Ghosh

In this paper we introduce a new measure of conditional dependence between two random vectors and given another random vector us…

stat.ML2024

On high-dimensional modifications of the nearest neighbor classifier

Annesha Ghosh, Deep Ghoshal, Bilol Banerjee +1

Nearest neighbor classifier is arguably the most simple and popular nonparametric classifier available in the literature. However, due to the concentration of pairwise distances an…

math.ST2024

A nonparametric test of spherical symmetry applicable to high dimensional data

Bilol Banerjee, Anil K. Ghosh

We develop a test for spherical symmetry of a multivariate distribution that works well even when the dimension of the data is larger than the sample size . We propose…

stat.ME2023★ 2 cited

Testing distributional equality for functional random variables

Bilol Banerjee

In this article, we present a nonparametric method for the general two-sample problem involving functional random variables modelled as elements of a separable Hilbert space ${\cal…