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List of publications

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[1] Ghosh, A. K., Chaudhuri, P. and Sengupta, D. (2003) Multi-scale kernel discriminant analysis. Proceedings of 5th
International Conference on Advances in Pattern Recognition (Edited by D.P.Mukherjee and S.Pal),
Allied Publishers, Kolkata, pp. 89-93.

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[2] Ghosh, A. K. and Chaudhuri, P. (2004) Optimal smoothing in kernel discriminant analysis. Statistica Sinica, 14(2), 457-483.

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[3] Ghosh, A. K. and Bose, S. (2004) Backfitting neural networks. Computational Statistics, 19(2), 193-210.

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[4] Ghosh, A. K. and Chaudhuri, P. (2005) On data depth and distribution free disciminant analysis using separating surfaces. Bernoulli, 11(1), 1-27.

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[5] Ghosh, A. K. and Chaudhuri, P. (2005) On maximum depth and related classifiers. Scandinavian Journal of Statistics, 32(2), 327-350.

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[6] Ghosh, A. K., Chaudhuri, P. and Murthy, C. A. (2005) On visualization and aggregation of nearest neighbor classifiers.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(10),
1592-1602.

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[7] Ghosh, A. K. and Bose, S. (2005) Feature extraction for nonlinear classification. Lecture Notes in Computer Science (LNCS) Series 3776,
Springer-Verlag, Berlin, pp. 170-175.

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[8] Ghosh, A. K., Chaudhuri, P. and Sengupta, D. (2006) Classification using kernel density estimates: multi-scale analysis and visualization. Technometrics,
48(1), 120-132.

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[9] Ghosh, A. K. (2006) On optimum choice of k in nearest neighbor classification.
Computational Statistics and Data Analysis, 50(11), 3113-3123.

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[10] Ghosh, A. K. and Bandyopadhyay, S. (2006) Adaptive smoothing in kernel discriminant analysis. Journal of Nonparametric Statistics, 18(2), 181-197.

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[11] Ghosh, A. K., Chaudhuri, P. and Murthy, C. A. (2006) Multi-scale classification using nearest neighbor density estimates. IEEE Transactions on Systems, Man and Cybernetics, Part B, 36(5), 1139-1148.

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[12] Ghosh, A. K. (2006) Book review: “S+ Functional Data Analysis User’s Guide”, Sankhya, 68(1), 177-178.

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[13] Ghosh, A. K. (2006) Book review: “The Basics of S-Plus (Fourth Edition)”, Sankhya, 68(1), 179-181.

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[14] Ghosh, A. K. (2007) Book review: “Applied MANOVA and Discriminant Analysis”, Journal of the American
Statistical Association, 102(479), 1075-1076.

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[15] Ghosh, A. K. (2007) Adaptive nearest neighbor classifier. Proceedings of 6th International Conference on Advances in Pattern Recognition (Edited by
P.Pal). World Scientific, Singapore, pp. 281-284.

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[16] Ghosh, A. K. (2007) On nearest neighbor classifiction using adaptive
choice of k. Journal of Computational and
Graphical Statistics, 16(2), 482-502.

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[17] Ghosh, A. K. and Bose, S. (2007) Feature extraction and classification using statistical networks. International Journal of Pattern Recognition and Artificial Intelligence, 21(7), 1103-1126.

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[18] Chattopadhyay, R. and Ghosh, A. K. (2008) Entrepreneurial Intention Model-Based Quantitative Approach to Estimate Entrepreneurial Success. Journal of the Canadian Council for Small Business and Entrepreneurship, 21(1), 1-21.

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[19] Ghosh, A. K. and Hall, P. (2008) On error-rate estimation in nonparmetric classification. Statistica Sinica, 18(3), 1081-1100.

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[20] Ghosh, A. K. (2008) Kernel discriminant analysis using case-specific smoothing parameters. IEEE Transactions on Systems, Man and Cybernetics, Part B,
38(5), 1413-1418.

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[21] Chaudhuri, P., Ghosh, A. K. and Oja, H. (2009) Classification based on hybridization of parametric and nonparametric classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(7), 1153-1164.

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[22] Mukhopadhyay, S. and Ghosh, A. K. (2011) On Bayesian multiscale smoothing in supervised and semi-supervised kernel discriminant analysis. Computational Statistics and Data Analysis, 55(7), 2344-2353.

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[23] Mandal, P. S. and Ghosh, A. K. (2011) Secure position verification for wireless sensor networks in noisy
channels. Lecture Notes in Computer Sciences Series 6811, Springer, Paaderborn, Germany, pp. 150-163.

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[24] Dutta, S., Ghosh, A. K. and Chaudhuri, P. (2011) Some intriguing properties of Tukey's half-space depth. Bernoulli, 17(4), 1420-1434.

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[25] Dutta, S. and Ghosh, A. K. (2012) On robust classification using projection depth. Annals of the Institute of Statistical Mathematics, 64(3), 657-676.

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[26] Ghosh, A. K. and Godtliebsen, F. (2012) Hybrid classification using model assisted proterior estimates. Pattern Recognition. 45(6), 2288-2298.

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[27] Ghosh, A. K. (2012) A probabilistic approach for semi-supervised nearest neighbor classification. Pattern Recognition Letters. 33(9), 1127-1133.

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[28] Chattopadhyay, R. and Ghosh. A. K. (2012) Performance appraisal based on a forced distribution system: its drawbacks and remedies. International Journal of Productivity and Performance Management. 61(8), 881-896.

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[29] Jain, N., Dutta, S., Banerjee, A., Ghosh, A. K., Xu, L. and Huibiao, Z. (2013) Using Daikon to prioritize and cluster unit bugs. Lecture Notes in Computer Science (LNCS) Series 8348, Springer, Cham, pp. 215-233.

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[30] Biswas, M. and Ghosh, A. K. (2014) A nonparametric two-sample test applicable to high dimensional data. Journal of Multivariate Analysis, 123, 160-171.

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[31] Dutta, S., Chaudhuri, P. and Ghosh, A. K. (2014) Linear discriminant analysis of character sequences using occurrences of words. Statistica Sinica, 24(1), 493-514.

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[32] Mandal, P. S. and Ghosh, A. K. (2014) A statistical approach towards secure location verification in noisy wireless channels. International Journal of Foundations of Computer Science. 25(5), 563-584.

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[33] Biswas, M., Mukhopadhyay, M. and Ghosh, A. K. (2014) A distribution-free two-sample run test applicable to high-dimensional data. Biometrika, 101(4), 913-926.

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[34] Karmakar, B., Dhara, K., Dey, K. K., Basu, A. and Ghosh, A. K. (2015) Testing statistical significance of a treatment effect in the presence of hidden sub-populations. Statistical Methods and Applications, 24(1), 97-119.

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[35] Biswas, M., Mukhopadhyay, M. and Ghosh, A. K. (2015) On some exact distribution-free one sample tests for high dimension, low sample size data. Statistica Sinica, 25(4), 1421-1435.

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[36] Mondal, P. K., Biswas M. and Ghosh A. K. (2015) On high dimensional two sample tests based on nearest neighbors. Journal of Multivariate Analysis, 141, 168-178.

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[37] Dutta, S. and Ghosh, A. K. (2016) On some transformations of high dimension, low sample size data for nearest neighbor classification. Machine Learning, 102, 57-83.

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[38] Pal, A. K., Mondal, P. K. and Ghosh, A. K. (2016) High dimensional nearest neighbor classification based on mean absolute differences of inter-point distances. Pattern Recognition Letters, 74, 1-8.

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[39] Biswas, M., Sarkar, S. and Ghosh, A. K. (2016) On some exact distribution-free tests of independence between two random vectors of arbitrary dimensions. Journal of Statistical Planning and Inference, 175, 78–86.

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[40] Ghosh, A. K. and Biswas, M. (2016) Distribution-free high dimensional two-sample tests based on discriminating hyperplanes. Test, 25(3), 525–547.

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[41] Dutta, S., Sarkar, S. and Ghosh, A. K. (2016) Multiscale classification using localized spatial depth. Journal of Machine Learning Research, 17(218), 1–30.

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[42] Dutta, S. and Ghosh, A. K. (2017) Discussion on ‘Statistical Scale Space Methods’ by Lasse Holmstr¨om and Leena Pasanen. International Statistical Review, 85(1), 40–43.

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[43] Saha, E., Sarakr, S. and Ghosh, A. K. (2017) Some one-sample tests based on functions of interpoint distances. Journal of Multivariate Analysis, 161, 83-95

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[44] Sarkar, S. and Ghosh, A. K. (2017) Some multivariate tests of independence based on ranks of nearest neighbors. Technometrics, To appear.

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