Academic Background
- Ph.D. in Statistics Indian Statistical Institute, Kolkata, India (2010 – 2014)
- Master of Statistics (Hons.) Indian Statistical Institute, Kolkata, India (2006 – 2008)
- Bachelor of Science (Hons.) in Statistics Calcutta University, Kolkata, India (2003 – 2006)
Positions
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Assistant Professor, IISER Kolkata (current)
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Post-doctoral Fellow in the Chair of Mathematical Statistics at Ecole Polytechnique Federale deLausanne (EPFL), Switzerland (June 2015 to December 2017).
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Visiting Scientist in the Theoretical Statistics and Mathematics Unit of the Indian Statistical Institute, Kolkata (January – March 2015 & January – June 2018).
Awards and Honors
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Awarded the Indian National Science Academy (INSA) Medal for Young Scientist in 2019.
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Selected as an Associate of the Indian Academy of Sciences (July 2018 – December 2021).
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DST INSPIRE Faculty Award (July 2014 batch) – [The offer was declined in order to pursue post-doctoral research at EPFL, Switzerland].
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Awarded the prestigious Shyama Prasad Mukherjee Fellowship of the Council of Scientific and Industrial Research, Government of India for carrying out Ph.D. work.
For more details see the CV.
Functional and infinite dimensional data
Non-parametric and robust statistics
Stochastic processes
Data depth
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Chakraborty, A.and Chaudhuri, P. (2014a) The deepest point for distributions in infinite dimensional spaces. Statistical Methodology, (Special Issue: Re-sampling and Contemporary Inference: A tribute to Kesar Singh), 20, 27–39.
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Chakraborty, A.and Chaudhuri, P. (2014b) On data depth in infinite dimensional spaces. Annals of the Institute of Statistical Mathematics, 66, 303–324.
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Chakraborty, A. and Chaudhuri, P. (2014c) The spatial distribution in infinite dimensional spaces and related quantiles and depths. The Annals of Statistics, 42, 1203–1231.
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Chakraborty, A. and Chaudhuri, P. (2015a) A Wilcoxon–Mann–Whitney type test for data in infinite dimensional spaces. Biometrika, 102, 239-246.
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Chakraborty, A. and Chaudhuri, P. (2015b) Paired sample tests in infinite dimensional spaces. In Modern Nonparametric, Robust and Multivariate Methods: Festschrift in honour of Hannu Oja, K. Nordhausen and S. Taskinen ed., pp. 351–369, Springer.
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Chakraborty, A. and Chaudhuri, P. (2017) Tests for high dimensional data based on means,spatial signs and spatial ranks. The Annals of Statistics, 45, 771–799.
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Chakraborty, A. and Panaretos, V. M. (2019) Hybrid regularisation and the (in) admissibility of ridge regression in infinite dimensional Hilbert spaces. Bernoulli, 25, 1939-1976.(Supplementary material available at https://projecteuclid.org/euclid.bj).
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Chakraborty, A.. and Panaretos, V. M. (2021) Functional registration and local variations:identifiability, rank, and tuning. Bernoulli, 27, 1103-1130.(Supplementary material available at https://projecteuclid.org/euclid.bj).
