Details about Anoop Chaturvedi
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Short-id: pch970
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Working Papers
2023
- Robust dynamic space-time panel data models using Δ-contamination: An application to crop yields and climate change
CIRANO Working Papers, CIRANO View citations (1)
Also in IZA Discussion Papers, Institute of Labor Economics (IZA) (2022)  Center for Policy Research Working Papers, Center for Policy Research, Maxwell School, Syracuse University (2022)
2022
- Robust dynamic space\textendashtime panel data models using \textdollar\textdollar\\varepsilon \textdollar\textdollar-contamination: an application to crop yields and climate change
Post-Print, HAL
2021
- Robust Dynamic Panel Data Models Using đđ-Contamination
Center for Policy Research Working Papers, Center for Policy Research, Maxwell School, Syracuse University View citations (1)
2020
- Robust Dynamic Panel Data Models Using e-Contamination
IZA Discussion Papers, Institute of Labor Economics (IZA) 
Also in CIRANO Working Papers, CIRANO (2020) 
See also Chapter Robust Dynamic Panel Data Models UsingΔ-Contamination, Advances in Econometrics, Emerald Group Publishing Limited (2022) (2022)
- Seemingly Unrelated Regression with Measurement Error: Estimation via Markov chain Monte Carlo and Mean Field Variational Bayes Approximation
Papers, arXiv.org 
See also Journal Article Seemingly unrelated regression with measurement error: estimation via Markov Chain Monte Carlo and mean field variational Bayes approximation, The International Journal of Biostatistics, De Gruyter (2021) (2021)
2018
- Robust linear static panel data models usingâ€ssmml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="mml166" display="inline" overflow="scroll" altimg="si85.gif"\greaterâ€ssmml:mi\greater\upepsilonâ€ss/mml:mi\greaterâ€ss/mml:math\greater-contamination
Post-Print, HAL
2017
- Robust linear static panel data models using e-contamination
Cahiers de recherche, Centre de recherche sur les risques, les enjeux Ă©conomiques, et les politiques publiques View citations (1)
Also in CIRANO Working Papers, CIRANO (2015) 
See also Journal Article Robust linear static panel data models using Δ-contamination, Journal of Econometrics, Elsevier (2018) View citations (9) (2018)
2016
- Bayesian Unit Root Test for Panel Data
EERI Research Paper Series, Economics and Econometrics Research Institute (EERI), Brussels 
See also Journal Article Bayesian Unit Root Test for Panel Data, Journal of Economics and Econometrics, Economics and Econometrics Society (2017) (2017)
2014
- Robust linear static panel data models using epsilon-contamination
MPRA Paper, University Library of Munich, Germany
1999
- Performance of the 2SHI Estimator under the Generalised Pitman Nearness Criterion
Economics Working Papers, School of Economics, University of Wollongong, NSW, Australia View citations (6)
Journal Articles
2023
- Robust dynamic spaceâtime panel data models using $$\varepsilon $$ Δ -contamination: an application to crop yields and climate change
Empirical Economics, 2023, 64, (6), 2475-2509
2022
- Analyzing spatial models of choice and judgment
Journal of the Royal Statistical Society Series A, 2022, 185, (2), 732-733
- Bayesian inference for unit root in smooth transition autoregressive models and its application to OECD countries
Studies in Nonlinear Dynamics & Econometrics, 2022, 26, (1), 25-34
- Handbook of regression analysis with applications in R (second edition)
Journal of the Royal Statistical Society Series A, 2022, 185, (S2), S777-S778
- Signal Detection for Medical Scientists: Likelihood Ratio Based TestâBased Methodology
Journal of the Royal Statistical Society Series A, 2022, 185, (2), 725-726
2021
- Analyzing highâdimensional gene expression and DNA methylation data with R
Journal of the Royal Statistical Society Series A, 2021, 184, (3), 1154-1154
- Generalized Bayes Estimator for Spatial Durbin Model
Journal of Quantitative Economics, 2021, 19, (1), 267-285 View citations (1)
- Robust estimation with variational Bayes in presence of competing risks
METRON, 2021, 79, (2), 207-223
- Seemingly unrelated regression with measurement error: estimation via Markov Chain Monte Carlo and mean field variational Bayes approximation
The International Journal of Biostatistics, 2021, 17, (1), 75-97 
See also Working Paper Seemingly Unrelated Regression with Measurement Error: Estimation via Markov chain Monte Carlo and Mean Field Variational Bayes Approximation, Papers (2020) (2020)
2020
- Bayesian Estimation and Unit Root Test for Logistic Smooth Transition Autoregressive Process
Journal of Quantitative Economics, 2020, 18, (4), 733-745 View citations (1)
- Modelling Spatial and SpatialâTemporal Data: a Bayesian Approach
Journal of the Royal Statistical Society Series A, 2020, 183, (4), 1828-1829
2019
- GENERALIZED BAYES ESTIMATION OF SPATIAL AUTOREGRESSIVE MODELS
Statistics in Transition New Series, 2019, 20, (2), 15-31 View citations (1)
Also in Statistics in Transition New Series, 2019, 20, (2), 15-32 (2019)
- Linear Models and the Relevant Distributions and Matrix Algebra
Journal of the Royal Statistical Society Series A, 2019, 182, (2), 716-716
- Robust Bayesian analysis of a multivariate dynamic model
Physica A: Statistical Mechanics and its Applications, 2019, 528, (C) View citations (6)
2018
- Robust linear static panel data models using Δ-contamination
Journal of Econometrics, 2018, 202, (1), 108-123 View citations (9)
See also Working Paper Robust linear static panel data models using e-contamination, Cahiers de recherche (2017) View citations (1) (2017)
2017
- Bayesian Unit Root Test for Panel Data
Journal of Economics and Econometrics, 2017, 60, (1), 74-95 
See also Working Paper Bayesian Unit Root Test for Panel Data, EERI Research Paper Series (2016) (2016)
2016
- Analysis of Panel Data, 3rd edn C. Hsiao, 2014 Cambridge, Cambridge University Press 562 pp., $49.99 ISBN 978-1-107-03860-1 (hardbound), 978-1-107-65763-2 paperbound
Journal of the Royal Statistical Society Series A, 2016, 179, (4), 1130-1131
- BAYESIAN INFERENCE FOR STATE SPACE MODEL WITH PANEL DATA
Statistics in Transition New Series, 2016, 17, (2), 211-219 
Also in Statistics in Transition new series, 2016, 17, (2), 211-219 (2016)  Statistics in Transition New Series, 2016, 17, (2), 211-219 (2016)
- Bayesian analysis of a linear model involving structural changes in either regression parameters or disturbances precision
Communications in Statistics - Theory and Methods, 2016, 45, (2), 307-320
- Shrinkage estimation in spatial autoregressive model
Journal of Multivariate Analysis, 2016, 143, (C), 362-373 View citations (4)
2015
- Modeling Count Data J. M. Hilbe Cambridge Cambridge University Press xvi + 284 pp., $99.00 (hardbound), $37.99 (paperbound) ISBN 978-1-107-02833-3 (hardbound), 978-1-107-61125-2 (paperbound)
Journal of the Royal Statistical Society Series A, 2015, 178, (4), 1098-1099
2014
- Bayesian Estimation of Regression Coefficients Under Extended Balanced Loss Function
Communications in Statistics - Theory and Methods, 2014, 43, (20), 4253-4264
- Robust Bayesian analysis of Weibull failure model
METRON, 2014, 72, (1), 77-95
2012
- Bayesian Unit Root Test for Time Series Models with Structural Break in Variance
Journal of Economics and Econometrics, 2012, 55, (1), 75-86 View citations (1)
- Confidence ellipsoids based on a general family of shrinkage estimators for a linear model with non-spherical disturbances
Journal of Multivariate Analysis, 2012, 104, (1), 140-158 View citations (3)
2005
- Bayesian unit root test for model with maintained trend
Statistics & Probability Letters, 2005, 74, (2), 109-115 View citations (1)
2004
- Risk and Pitman closeness properties of feasible generalized double k-class estimators in linear regression models with non-spherical disturbances under balanced loss function
Journal of Multivariate Analysis, 2004, 90, (2), 229-256 View citations (3)
2003
- Unbiased estimation of the MSE matrices of improved estimators in linear regression
Journal of Applied Statistics, 2003, 30, (2), 173-189 View citations (5)
2002
- Improved Multivariate Prediction in a General Linear Model with an Unknown Error Covariance Matrix
Journal of Multivariate Analysis, 2002, 83, (1), 166-182 View citations (6)
2001
- Double k-Class Estimators in Regression Models with Non-spherical Disturbances
Journal of Multivariate Analysis, 2001, 79, (2), 226-250 View citations (5)
2000
- Bayesian Unit Root Test in Nonnormal AR(1) Model
Journal of Time Series Analysis, 2000, 21, (3), 261-280 View citations (1)
- Operational Variants of the Minimum Mean Squared Error Estimator in Linear Regression Models with Non-Spherical Disturbances
Annals of the Institute of Statistical Mathematics, 2000, 52, (2), 332-342 View citations (3)
1997
- Confidence Sets for the Coefficients Vector of a Linear Regression Model with Nonspherical Disturbances
Econometric Theory, 1997, 13, (3), 406-429 View citations (2)
1993
- Selecting a double k-class estimator for regression coefficients
Statistics & Probability Letters, 1993, 18, (5), 363-371 View citations (4)
1990
- Lindley-like mean correction in the improved estimation of regression models with non-scalar covariance matrix
Economics Letters, 1990, 32, (3), 225-230
1988
- The necessary and sufficient conditions for the uniform dominance of the two-stage stein estimators
Economics Letters, 1988, 28, (4), 351-355 View citations (4)
1986
- A necessary and sufficient condition for the dominance of an improved family of estimators in linear regression models
Economics Letters, 1986, 20, (4), 345-349 View citations (2)
1983
- Some properties of the distribution of an operational ridge estimator
Metrika: International Journal for Theoretical and Applied Statistics, 1983, 30, (1), 227-237
Chapters
2022
- Robust Dynamic Panel Data Models UsingΔ-Contamination
A chapter in Essays in Honor of M. Hashem Pesaran: Panel Modeling, Micro Applications, and Econometric Methodology, 2022, vol. 43B, pp 307-336 
See also Working Paper Robust Dynamic Panel Data Models Using e-Contamination, Institute of Labor Economics (IZA) (2020) (2020)
2005
- Appendix: Performance of the 2SHI Estimator Under the Generalised Pitman Nearness Criterion
Springer
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