Buddhananda Banerjee
(Ph.D in Statistics, ISI Kolkata)
Assistant Professor
N309A, Department of Mathematics
Indian Institute of Technology Kharagpur
Medinipur, West BengalIndia. PIN: 721302Email: bbanerjee@maths.iitkgp.ac.inBuddhananda Banerjee
(Ph.D in Statistics, ISI Kolkata)
Assistant Professor
N309A, Department of Mathematics
Indian Institute of Technology Kharagpur
Medinipur, West BengalIndia. PIN: 721302Email: bbanerjee@maths.iitkgp.ac.inResearch Interest
Statistics on manifolds
Functional data analyis
Change point Analyis
Clinical Traials
Books:
Black, K.: Business statistics: for contemporary decision making.
Miller, M. & Miller, I. : John E. Freund's Mathematical Statistics: With Applications.
Rice, John A. : Mathematical statistics and data analysis.
Lay, D. C.: Linear algebra and its applications.
Useful Links
Probability
Random variable and vector
Moments
Transformation of random variables
Sampling distributions
Law of large numbers (LLN)
Inference
MA20205 : Probability and Statistics (Autumn,2025) Download Class Notes
MON(08:00-08:55) , MON(09:00-09:55) , TUE(12:00-12:55)@ NR222
Prerequisites: 1st year mathematics courses
Probability : Definition & laws, Random variable, Modeling with Random Variables, Examples of discrete random variables, Examples of continuous random variables:, Joint and conditional distributions, Laws of expectation , Law of Large Numbers , Estimation , Testing of Hypothesis .
Mathematical Statistics and Data Analysis by John A. Rice
Introduction to Probability and Statistics for Engineers and Scientists by S.M. Ross
Probability and Statistical Inference by R.V. Hogg, E.A. Tanis, & D. L. Zimmerman
Introduction to Probability Theory by Paul G. Hoel, Sidney C. Port and Charles J. Stone
MA60263 : Multivariate Statistical Methods (Autumn,2025) Download Lecture note
MON(11:00-11:55) , TUE(08:00-08:55) , TUE(09:00-09:55) @ NR324
Prerequisites:
Probability & Statistics ,
Linear Algebra
Linear Algebra (Revision) , Joint & Marginal Probabilty distributions (Revision) , Multivariate Normal & sampling distributions , Multiple linear regression
Principal Component analysis , Factor Analysis , Discriminant Analysis , Classification, Clustering , High dimensional data analysis
Johnson, R. A., & Wichern, D. W. (2002). Applied multivariate statistical analysis (Vol. 5, No. 8). Upper Saddle River, NJ: Prentice hall. [JW02]
Zelterman, D. (2015). Applied multivariate statistics with R (pp. 393-393). Basel, Switzerland: Springer International Publishing., [ZZ15]
Boyd, S., & Vandenberghe, L. (2018). Introduction to applied linear algebra: vectors, matrices, and least squares. Cambridge university press. [BV18]
Strang, G. (2020). Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares [Bookshelf]. IEEE Control Systems Magazine, 40(6), 136-136.