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Anoop Chaturvedi

Professor, Department of Statistics, University of Allahabad · University of Allahabad

https://researchid.co/anoopchaturv
@allduniv.ac.in
65Scopus Publications
778Google Scholar Citations
15Google Scholar h-index
33Google Scholar i10-index

Research Interests

Data Mining, Time Series Modelling and forecasting

Biography

Prof. Anoop Chaturvedi superannuated as Professor, Department of Statistics, University of Allahabad on 30th June 2019. He served the university for 38 years as senior lecturer, reader and professor. He is involved in several academic/ administrative bodies of the University and was Head of the Department of Statistics for about seven years. He is a fellow of royal statistical society. He has published two edited volumes entitled “Handbook of Applied Econometrics and Statistical Inference”, Marcel Dekker, USA, and “Some Recent Developments in Statistical Theory and Applications”, Brown Walker Press, USA. He also published about hundred research papers in various national/ international journals. His recent research interests include Shrinkage estimation in Linear Models, Dynamic Models, panel data models, data mining in Bioinformatics, Bayesian Unit Root and co integration Tests, and Control Charts for auto correlated data.

Education

Masters in Statistics from Lucknow University, India in 1977. Doctor of Philosophy (Ph.D.), Lucknow University, India, 1982, (Thesis Title: Finite Sample Properties of Some Ridge Regression Estimators; Thesis Supervisor: Professor Viren K. Srivastava).

Recent Scopus Publications

  1. Mean field variational Bayes for finite mixture of random coefficients models: an application to healthcare expenditures
    Econometric Reviews, 2025
  2. Robust dynamic space–time panel data models using ε-contamination: an application to crop yields and climate change
    Advanced Studies in Theoretical and Applied Econometrics, 2024
  3. Correction: Estimation of Reliability in Multicomponent Set-up when Stress and Strength are Non-identical (Journal of Statistical Theory and Applications, (2023), 22, 3, (213-233), 10.1007/s44199-023-00060-w)
    Journal of Statistical Theory and Applications, 2023
  4. Estimation of Reliability in Multicomponent Set-up when Stress and Strength are Non-identical
    Journal of Statistical Theory and Applications, 2023
  5. Dynamic space–time panel data models: An eigendecomposition-based bias-corrected least squares procedure
    Spatial Statistics, 2023

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