Dr. Ishapathik Das

Assistant Professor

Areas of Interest

  • Generalized Linear Models
  • Machine Learning
  • Clinical Trials
  • Design of Experiments
  • Multivariate Distributions


  • Postdoctoral Research Associate, Duke University, USA.
  • Ph.D, Indian Institute of Technology Bombay, India.
  • M.Sc, Indian Institute of Technology Kharagpur, India.
  • B.Sc, Ramakrishna Mission Vidyamandira, Belur, India.

Latest Publications

  • Das, I. (2016): Selection of Designs in Ordinal Regression Models under Linear Predictor Misspecification. International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering 9, 745-752.
  • Das, I., Mukhopadhyay, S. and Aggarwal, M. (2015): Robust Designs in Generalized Linear Models: A Quantile Dispersion Graphs Approach. Communications in Statistics - Simulation and Computation 44, 2348-2370.
  • Das, I. and Mukhopadhyay, S. (2014). On Generalized Multinomial Models and Joint Percentile Estimation. Journal of Statistical Planning and Inference 145, 190-203.
  • Das, I., Mukhopadhyay, S. and Xu, H. (2013). Individualized Dosing for Multiple Ordered Groups of Patients. Journal of Statistical Theory and Practice 7, 95-106.
  • Mukhopadhyay, S., Das, I. and Das, K. (2012). Selection of a Stroke Risk Model Based on Transcranial Doppler Ultrasound Velocity. Journal of Applied Statistics 39, 2699-2712.

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