| A nonparametric two-sample test applicable to high dimensional data M Biswas, AK Ghosh Journal of Multivariate Analysis 123, 160-171, 2014 | 115 | 2014 |
| A distribution-free two-sample run test applicable to high-dimensional data M Biswas, M Mukhopadhyay, AK Ghosh Biometrika 101 (4), 913-926, 2014 | 84 | 2014 |
| Unemployment rate forecasting: A hybrid approach T Chakraborty, AK Chakraborty, M Biswas, S Banerjee, S Bhattacharya Computational Economics 57 (1), 183-201, 2021 | 67 | 2021 |
| On high dimensional two-sample tests based on nearest neighbors PK Mondal, M Biswas, AK Ghosh Journal of Multivariate Analysis 141, 168-178, 2015 | 37 | 2015 |
| Distribution-free high-dimensional two-sample tests based on discriminating hyperplanes AK Ghosh, M Biswas Test 25, 525-547, 2016 | 31 | 2016 |
| On some exact distribution-free tests of independence between two random vectors of arbitrary dimensions M Biswas, S Sarkar, AK Ghosh Journal of Statistical Planning and Inference 175, 78-86, 2016 | 19 | 2016 |
| On some exact distribution-free one-sample tests for high dimension low sample size data M Biswas, M Mukhopadhyay, AK Ghosh Statistica Sinica, 1421-1435, 2015 | 11 | 2015 |
| Bayesian nonparametric estimation of Milky Way parameters using matrix-variate data, in a new Gaussian Process based method D Chakrabarty, M Biswas, S Bhattacharya | 10 | 2015 |
| Some distribution-free two-sample tests applicable to high dimension, low sample size data M Biswas PQDT-Global, 2015 | | 2015 |
Anil K. GhoshIndian Statistical Institute, KolkataVerified email at isical.ac.in
