Assistant Professor at Indian Institute of Technology, Tirupati
Email: a n g s h u m a n . r o y . 8 9 @ g m a i l . c o m
Researchgate: https://www.researchgate.net/profile/Angshuman_Roy
Google Scholar: https://scholar.google.com/citations?user=jzvoNNYAAAAJ
GitHub: https://github.com/angshumanroycode
LinkedIn: www.linkedin.com/in/angshumanroy89
2022-2023: Assistant professor at Ahmedabad University.
2021-2022: Postdoctoral fellow in Data Science Research Committee, University of Haifa, Israel.
2020-2021: Visiting scientist at Indian Statistical Institute, Kolkata.
Degree Name: Ph.D. in Statistics
Thesis Title: On Tests of Independence among Multiple Random Vectors of Arbitrary Dimensions. Manuscript. Codes.
Degree Name: M.Stat
Field Of Study: Regression Techniques, Multivariate Analysis, Time Series Analysis, Pattern Recognition and Image Processing, Stochastic Process, Large Sample Statistical Methods. Complex Analysis, Graph Theory, Optimization Techniques, Advanced Probability, Functional Analysis, Measure Theory.
Degree Name: B.Stat
Field Of Study: Statistical Inference, Design of Experiments, Linear Models, Stochastic Process. Probability Theory, Real Analysis, Abstract Algebra, Linear Algebra. Numerical Analysis, Data Structure, Database Management.
Field Of Study: Bengali, English, Mathematics, Physics, Chemistry, Elective Statistics.
Introductory Probability Theory
Linear Algebra for Engineers
Probability Theory for Engineers
Non-parametric Statistics
Stochastic Process
Design of Experiments
Non-parametric and multivariate methods
Measure of association among random variables
Roy, A., Ghosh, A. K., Goswami, A., and Murthy, C. A. (2020) Some new copula based distribution-free tests of independence among several random variables, Sankhya: Series A, 1-41. Manuscript.
Roy, A. (2020) Some copula-based tests of independence among several random variables having arbitrary probability distributions, Stat, 9(1), e263. Manuscript. Suppliment.
Roy, A., Sarkar, S., Ghosh, A. K., and Goswami, A. (2020) On some consistent tests of mutual independence among several random vectors of arbitrary dimensions, Statistics and Computing, 30(6), 1707-1723. Manuscript.
Roy, A., Das, K., Sarkar S., and Ghosh, A.K. (2020) Some tests of mutual independence among several random vectors using ranks of nearest neighbors. Journal of Statistical Computation and Simulation, 91(9), 1890-1906. Manuscript. Codes.
Roy, A., and Ghosh, A. K. (2020) Some tests of independence based on maximum mean discrepancy and ranks of nearest neighbors, Statistics and Probability Letters, 164, 108793. Manuscript.
Dawn, T., Roy, A., Manna, A., and Ghosh, A. K. (2024) Some clustering-based change-point detection methods applicable to high dimension, low sample size data. Journal of Statistical Planning and Inference, accepted. doi.org/10.1016/j.jspi.2024.106212