Hira L. Koul
Affiliations: | Michigan State University, East Lansing, MI |
Area:
StatisticsGoogle:
"Hira Koul"Children
Sign in to add traineeLianfen Qian | grad student | 1996 | Michigan State |
Fuxia Cheng | grad student | 2002 | Michigan State |
Linyuan Li | grad student | 2002 | Michigan State |
Tingting Yi | grad student | 2005 | Michigan State |
Hongwen Guo | grad student | 2006 | Michigan State |
Weixing Song | grad student | 2006 | Michigan State |
Deepa Aggarwal | grad student | 2008 | Michigan State |
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Publications
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Balakrishna N, Kim J, Koul HL. (2020) Lack-of-fit of a parametric measurement error AR(1) model Statistics & Probability Letters. 166: 108872 |
Koul HL, Li F. (2020) Comparing two nonparametric regression curves in the presence of long memory in covariates and errors Metrika. 83: 499-517 |
Koul HL, Xie C, Zhu L. (2019) An Adaptive-to-Model Test for Parametric Single-Index Errors-in-Variables Models Statistica Sinica |
Koul HL, Surgailis D. (2019) Asymptotic Distribution of the Bias Corrected Least Squares Estimators in Measurement Error Linear Regression Models Under Long Memory Journal of Time Series Analysis. 40: 493-518 |
Geng P, Koul HL. (2019) Minimum distance model checking in Berkson measurement error models with validation data Test. 28: 879-899 |
Koul HL, Song W, Zhu X. (2018) Goodness-of-fit testing of error distribution in linear measurement error models The Annals of Statistics. 46: 2479-2510 |
Koul HL, Surgailis D. (2018) Asymptotic Distributions of Some Scale Estimators in Nonlinear Models With Long Memory Errors Having Infinite Variance Journal of Time Series Analysis. 39: 273-298 |
Balakrishna N, Koul HL. (2017) Varying kernel marginal density estimator for a positive time series Journal of Nonparametric Statistics. 29: 531-552 |
Koul HL, Vellaisamy P. (2017) Asymptotic distributions of some robust scale estimators in explosive AR(1) model Statistics & Probability Letters. 126: 157-163 |
Geng P, Koul HL. (2017) Model checking in Tobit regression with measurement errors using validation data Journal of Statistical Planning and Inference. 190: 15-31 |