Anil Kumar Ghosh

Orcid: 0000-0002-2476-8458

Affiliations:
  • Indian Statistical Institute, Kolkata


According to our database1, Anil Kumar Ghosh authored at least 28 papers between 2004 and 2024.

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Bibliography

2024
On Exact Feature Screening in Ultrahigh-Dimensional Binary Classification.
J. Comput. Graph. Stat., 2024

2022
Some clustering-based exact distribution-free k-sample tests applicable to high dimension, low sample size data.
J. Multivar. Anal., 2022

On Generalizations of Some Distance Based Classifiers for HDLSS Data.
J. Mach. Learn. Res., 2022

2020
On some consistent tests of mutual independence among several random vectors of arbitrary dimensions.
Stat. Comput., 2020

On Perfect Clustering of High Dimension, Low Sample Size Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

On some graph-based two-sample tests for high dimension, low sample size data.
Mach. Learn., 2020

2018
Some Multivariate Tests of Independence Based on Ranks of Nearest Neighbors.
Technometrics, 2018

2017
Some high-dimensional one-sample tests based on functions of interpoint distances.
J. Multivar. Anal., 2017

2016
High dimensional nearest neighbor classification based on mean absolute differences of inter-point distances.
Pattern Recognit. Lett., 2016

On some transformations of high dimension, low sample size data for nearest neighbor classification.
Mach. Learn., 2016

Multi-scale Classification using Localized Spatial Depth.
J. Mach. Learn. Res., 2016

2015
Tests for statistical significance of a treatment effect in the presence of hidden sub-populations.
Stat. Methods Appl., 2015

On high dimensional two-sample tests based on nearest neighbors.
J. Multivar. Anal., 2015

2014
A nonparametric two-sample test applicable to high dimensional data.
J. Multivar. Anal., 2014

A Statistical Approach towards Secure Location Verification in noisy Wireless channels.
Int. J. Found. Comput. Sci., 2014

2013
Using Daikon to Prioritize and Group Unit Bugs.
Proceedings of the Formal Aspects of Component Software - 10th International Symposium, 2013

2012
A probabilistic approach for semi-supervised nearest neighbor classification.
Pattern Recognit. Lett., 2012

On hybrid classification using model assisted posterior estimates.
Pattern Recognit., 2012

2011
Bayesian multiscale smoothing in supervised and semi-supervised kernel discriminant analysis.
Comput. Stat. Data Anal., 2011

Secure Position Verification for Wireless Sensor Networks in Noisy Channels.
Proceedings of the Ad-hoc, Mobile, and Wireless Networks - 10th International Conference, 2011

2009
Classification Based on Hybridization of Parametric and Nonparametric Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

2007
Feature Extraction for Classification Using Statistical Networks.
Int. J. Pattern Recognit. Artif. Intell., 2007

2006
Multiscale Classification Using Nearest Neighbor Density Estimates.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Classification Using Kernel Density Estimates - Multiscale Analysis and Visualization.
Technometrics, 2006

On optimum choice of k.
Comput. Stat. Data Anal., 2006

2005
On Visualization and Aggregation of Nearest Neighbor Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Feature Extraction for Nonlinear Classification.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005

2004
Backfitting neural networks.
Comput. Stat., 2004


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