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Dr Subhra Sankar Dhar

vidwan id: 52914
Male

Associate Professor, Department of Mathematics and Statistics
Indian Institute of Technology Kanpur

Expertise

  • Statistics and Probability

Publications

Total Articles 31
Books 0
Proceedings 0

Publications

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Scopus

Citations 182
h-index 6

CrossRef

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Citations 143
h-index 5
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Professional Recognition

2011

Post-doctoral Fellowship

The University of Cambridge, UK

Community & Membership

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Bio

Non-Parametric and Robust Statistical Methods, Research Interests: Primary: Multivariate Quantiles and Rank, Data Depth, Measure of Association and Isotonic Regression, Likelihood Based Inference, Kaplan-Meier Estimator, Cluster Analysis and Missing Data Analysis

Personal Details

  • Male
  • Associate Professor , Indian Institute of Technology Kanpur
  • FB - 512 A, Department of Mathematics and Statistics, Indian Institute of Technology, Kanpur
Ph.D
Other Institute 2012
Associate Professor Jul 2013 – Present
Indian Institute of Technology Kanpur | Department of Mathematics and Statistics

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Co-Authors (8)

Gaurav

Dr Gaurav Garg

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Prof Debasis Kundu

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Prof Malay Banerjee

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Prof Probal Chaudhuri

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Scholarly Work

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Scholarly Publications

Estimation of time-varying recovery and death rates from epidemiological data: A new approach

Open Access
Article
Authors: Ghosh S.;Banerjee M.;Dhar S.S.;Mukhopadhyay S.

Robust measures of goodness-of-fit and outlier detection in linear regression models

Open Access
Book Chapter
Authors: Shalabh T.;Dhar S.S.;Garg G.

Applications of Nonlinear Tobit Models Under Endogeneity

Open Access
Article
Authors: Shukla S.;Dhar S.S.;Shalabh

M-estimation of functional regression operator with responses missing at random

Open Access
Book Chapter

CHARACTERIZATION OF THE LEAST SQUARES ESTIMATOR: MIS-SPECIFIED MULTIVARIATE ISOTONIC REGRESSION MODEL WITH DEPENDENT ERRORS

Open Access
Article

Statistical Data-Driven Modelling and Forecasting: An Application to COVID-19 Pandemic

Open Access
Article

Comparing time varying regression quantiles under shift invariance

Open Access
Article

Testing the Goodness of Fit in Instrumental Variables Models

Open Access
Book Chapter