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Abhijit

Abhijit Mandal
Visiting Scientist
Indian Statistical Institute
Kolkata, India

Email: abhijit_v -at- isical.ac.in
            abhijit -at- brain.riken.jp

Phone: +91 8013369529

Professional Experience:

• Visiting Scientist at Indian Statistical Institute, Kolkata, India (May 2013 - ).

• Visiting Scientist at Cichocki Laboratory for ABSP, Brain Science Institute, Riken, Japan (April 2013 - ).

• Research Scientist at Cichocki Laboratory for ABSP, Brain Science Institute, Riken, Japan (July 2012 - March 2013).

• Visiting Faculty at CR Rao AIMSCS, Hyderabad, India (February 2012 - May 2012).

• Visiting Scientist at Cichocki Laboratory for ABSP, Brain Science Institute, Riken, Japan (November 2011 - January 2012).

• Visiting Scientist at Indian Statistical Institute, Kolkata, India (April 2011 - October 2011).

• Postdoctoral Researcher of Professor Hannu Oja at University of Tampere, Finland (September 2010 - March 2011).

Education:

• Ph.D. (2010): Indian Statistical Institute, Kolkata, India.
  Thesis Title: Minimum Disparity Inference: Strategies for Improvement in Efficiency.
  Supervisor: Professor Ayanendranath Basu.

• M.Stat. (2005): Indian Statistical Institute, Kolkata, India.

• B.Sc., Statistics Honours (2003): Ramakrishna Mission Residential College, Narendrapur, University of Calcutta, Kolkata, India.

Research Interest:

• Robust Inference, Asymptotic Theory, Minimum Disparity Inference, Blind Source Separation, Independent Component Analysis, Multivariate Analysis.

Publications (Google Scholar):

1. A. Mandal and A. Cichocki (2013). Non-linear Canonical Analysis Using AB-divergence. Entropy, Vol. 15, 2788--2804.

2. A. Mandal and A. Basu (2013). Minimum disparity estimation: Improved efficiency through inlier modiffication. Computational Statistics and Data Analysis, Vol. 64, 71-86.

3. A. Basu, A. Mandal, N. Martin and L. Pardo (2013). Testing Statistical Hypotheses based on the Density Power Divergence. Annals of the Institute of Statistical Mathematics, Vol. 65, 319-348.

4. A. Mandal and A. Basu (2011). Multinomial goodness-of-fit testing and inlier modification. Electronic Journal of Statistics, Vol. 5, 1846-1875.

5. K. Nordhausen, P. Ilmonen, A. Mandal, H. Oja and E. Ollila, (2011). Deflation-based FastICA Reloaded. Proceedings of the 19th European Signal Processing Conference (EUSIPCO 2011), 1854-1858.

6. A. Mandal, S. K. Bhandari and A. Basu, (2011). Minimum Disparity Estimation based on Combined Disparities: Asymptotic Results. Journal of Statistical Planning and Inference, Vol. 141, 701-710.

7. A. Mandal, W. T. Huang, S. K. Bhandari and A. Basu, (2011). Goodness-of-Fit Testing in Growth Curve Models: A General Approach based on Finite Differences. Computational Statistics and Data Analysis, Vol. 55, 1086-1098.

8. A. Basu, A. Mandal, and L. Pardo, (2010). Hypothesis Testing for two Discrete Populations based on the Hellinger Distance. Statistics and Probability Letters, Vol. 80, 206-214.

9. A. Mandal, A. Basu and L. Pardo, (2010). Minimum Disparity Inference and the Empty Cell Penalty: Asymptotic Results. Sankhya, Series A, Vol. 72, 376-406.

10. A. Mandal and A. Chakraborty, (2009). Independent Component Analysis (ICA) using Pearsonian Density Function. Proceeding of the 8th International Conference on Independent Component Analysis and Signal Separation (ICA 2009) . Lecture Notes in Computer Science, Vol. 5441, 74-81, Berlin, Springer.

11. R. K. Patra, A. Mandal and A. Basu, (2008). Minimum Hellinger Distance Estimation with Inlier Modification. Sankhya, Series B, Vol. 70, 310-322.

1. A. Basu and A. Mandal (2010). Canonical Correlation. In International Encyclopedia of Education (Third Edition), Penelope Peterson, Eva Baker, and Barry McGaw Eds., Oxford: Elsevier.

1. A. Basu, A. Mandal, N. Martin and L. Pardo. Density Power Divergence Tests for Composite Null Hypotheses.

1. Asymptotics of the Non-parametric Independent Component Analysis (with R. Srivastava and A. Lahiri).

2. Density Power Divergence Test Statistic for Testing Means of Two Normal Populations (with A. Basu, N. Martin and L. Pardo).

1. AB-Canonical Analysis or ABCA (Matlab program).

2. FastICA (R code).