| Year |
Citation |
Score |
| 2020 |
Hala MV, Bandyopadhyay S, Lahiri SN, Nordman DJ. A general frequency domain method for assessing spatial covariance structures Bernoulli. 26: 2463-2487. DOI: 10.3150/19-Bej1160 |
0.663 |
|
| 2020 |
Giordano F, Lahiri SN, Parrella ML. GRID: A Variable selection and structure discovery method for high dimensional nonparametric regression Annals of Statistics. 48: 1848-1874. DOI: 10.1214/19-Aos1846 |
0.322 |
|
| 2020 |
Chakraborty A, Lahiri SN, Wilson A. A statistical analysis of noisy crowdsourced weather data The Annals of Applied Statistics. 14: 116-142. DOI: 10.1214/19-Aoas1290 |
0.321 |
|
| 2020 |
Bugni FA, Caner M, Kock AB, Lahiri S. Inference in partially identified models with many moment inequalities using Lasso Journal of Statistical Planning and Inference. 206: 211-248. DOI: 10.1016/J.Jspi.2019.09.013 |
0.424 |
|
| 2019 |
Lee D, Lahiri SN, Sinha S. A test of homogeneity of distributions when observations are subject to measurement errors. Biometrics. PMID 31860740 DOI: 10.1111/Biom.13207 |
0.414 |
|
| 2019 |
Shockley KR, Gupta S, Harris SF, Lahiri SN, Peddada SD. Quality Control of Quantitative High Throughput Screening Data. Frontiers in Genetics. 10: 387. PMID 31143201 DOI: 10.3389/Fgene.2019.00387 |
0.312 |
|
| 2019 |
Das D, Lahiri SN. Second Order Correctness of Perturbation Bootstrap M-Estimator of Multiple Linear Regression Parameter Bernoulli. 25: 654-682. DOI: 10.3150/17-Bej1001 |
0.391 |
|
| 2019 |
Lahiri SN, Das U, Nordman DJ. Empirical Likelihood for a Long Range Dependent Process Subordinated to a Gaussian Process Journal of Time Series Analysis. 40: 447-466. DOI: 10.1111/Jtsa.12465 |
0.667 |
|
| 2019 |
Das D, Lahiri SN. Distributional consistency of the lasso by perturbation bootstrap Biometrika. 106: 957-964. DOI: 10.1093/Biomet/Asz029 |
0.537 |
|
| 2019 |
Kaplan A, Kaiser MS, Lahiri SN, Nordman DJ. Simulating Markov Random Fields With a Conclique-Based Gibbs Sampler Journal of Computational and Graphical Statistics. 29: 286-296. DOI: 10.1080/10618600.2019.1668800 |
0.666 |
|
| 2018 |
Chatterjee A, Lahiri S. Edgeworth expansions for a class of spectral density estimators and their applications to interval estimation Statistica Sinica. DOI: 10.5705/Ss.202017.0121 |
0.606 |
|
| 2018 |
Gregory KB, Lahiri SN, Nordman DJ. A smooth block bootstrap for quantile regression with time series The Annals of Statistics. 46: 1138-1166. DOI: 10.1214/17-Aos1580 |
0.686 |
|
| 2018 |
Kim YM, Lahiri SN, Nordman DJ. Non-Parametric Spectral Density Estimation Under Long-Range Dependence Journal of Time Series Analysis. 39: 380-401. DOI: 10.1111/Jtsa.12284 |
0.746 |
|
| 2017 |
Van Hala M, Bandyopadhyay S, Lahiri SN, Nordman DJ. On the non-standard distribution of empirical likelihood estimators with spatial data Journal of Statistical Planning and Inference. 187: 109-114. DOI: 10.1016/J.Jspi.2017.02.007 |
0.757 |
|
| 2016 |
Nordman DJ, Lahiri SN. A discussion of Bootstrap prediction intervals for linear, nonlinear, and nonparametric autoregressions by L. Pan and D.N. Politis Journal of Statistical Planning and Inference. DOI: 10.1016/J.Jspi.2015.10.014 |
0.622 |
|
| 2015 |
Gregory KB, Carroll RJ, Baladandayuthapani V, Lahiri SN. A Two-Sample Test for Equality of Means in High Dimension. Journal of the American Statistical Association. 110: 837-849. PMID 26279594 DOI: 10.1080/01621459.2014.934826 |
0.371 |
|
| 2015 |
Bandyopadhyay S, Lahiri SN, Nordman DJ. A frequency domain empirical likelihood method for irregularly spaced spatial data Annals of Statistics. 43: 519-545. DOI: 10.1214/14-Aos1291 |
0.749 |
|
| 2015 |
Gregory KB, Lahiri SN, Nordman DJ. A Smooth Block Bootstrap for Statistical Functionals and Time Series Journal of Time Series Analysis. 36: 442-461. DOI: 10.1111/Jtsa.12117 |
0.724 |
|
| 2015 |
Chatterjee A, Gupta S, Lahiri SN. On the residual empirical process based on the ALASSO in high dimensions and its functional oracle property Journal of Econometrics. 186: 317-324. DOI: 10.1016/J.Jeconom.2015.02.012 |
0.618 |
|
| 2014 |
Nordman DJ, Lahiri SN. Convergence rates of empirical block length selectors for block bootstrap Bernoulli. 20: 958-978. DOI: 10.3150/13-Bej511 |
0.727 |
|
| 2014 |
DasGupta A, Lahiri SN, Stoyanov J. Sharp fixed n bounds and asymptotic expansions for the mean and the median of a Gaussian sample maximum, and applications to the Donoho-Jin model Statistical Methodology. 20: 40-62. DOI: 10.1016/J.Stamet.2014.01.002 |
0.333 |
|
| 2014 |
Nordman DJ, Lahiri SN. A review of empirical likelihood methods for time series Journal of Statistical Planning and Inference. 155: 1-18. DOI: 10.1016/J.Jspi.2013.10.001 |
0.716 |
|
| 2013 |
Nordman DJ, Bunzel H, Lahiri SN. A nonstandard empirical likelihood for time series Annals of Statistics. 41: 3050-3073. DOI: 10.1214/13-Aos1174 |
0.749 |
|
| 2013 |
Chatterjee A, Lahiri SN. Rates of convergence of the adaptive lasso estimators to the oracle distribution and higher order refinements by the bootstrap Annals of Statistics. 41: 1232-1259. DOI: 10.1214/13-Aos1106 |
0.659 |
|
| 2013 |
Rister K, Lahiri SN. Bootstrap based Trans-Gaussian Kriging Statistical Modelling. 13: 509-539. DOI: 10.1177/1471082X13494614 |
0.469 |
|
| 2013 |
Kim YM, Lahiri SN, Nordman DJ. A progressive block empirical likelihood method for time series Journal of the American Statistical Association. 108: 1506-1516. DOI: 10.1080/01621459.2013.847374 |
0.732 |
|
| 2012 |
Lahiri SN, Mukhopadhyay S. On the mahalanobis-distance based penalized empirical likelihood method in high dimensions Statistics and Its Interface. 5: 331-338. DOI: 10.4310/Sii.2012.V5.N3.A5 |
0.498 |
|
| 2012 |
Lahiri SN, Mukhopadhyay S. A penalized empirical likelihood method in high dimensions Annals of Statistics. 40: 2511-2540. DOI: 10.1214/12-Aos1040 |
0.506 |
|
| 2012 |
Lahiri SN, Spiegelman C, Appiah J, Rilett L. Gap bootstrap methods for massive data sets with an application to transportation engineering Annals of Applied Statistics. 6: 1552-1587. DOI: 10.1214/12-Aoas587 |
0.388 |
|
| 2012 |
Kaiser MS, Lahiri SN, Nordman DJ. Goodness of fit tests for a class of Markov random field models Annals of Statistics. 40: 104-130. DOI: 10.1214/11-Aos948 |
0.727 |
|
| 2012 |
Maitra R, Melnykov V, Lahiri SN. Bootstrapping for significance of compact clusters in multidimensional datasets Journal of the American Statistical Association. 107: 378-392. DOI: 10.1080/01621459.2011.646935 |
0.346 |
|
| 2012 |
Nordman DJ, Lahiri SN. Block bootstraps for time series with fixed regressors Journal of the American Statistical Association. 107: 233-246. DOI: 10.1080/01621459.2011.646929 |
0.743 |
|
| 2012 |
Kreiss JP, Lahiri SN. Bootstrap Methods for Time Series Handbook of Statistics. 30: 3-26. DOI: 10.1016/B978-0-444-53858-1.00001-6 |
0.382 |
|
| 2011 |
Chatterjee A, Lahiri SN. Bootstrapping lasso estimators Journal of the American Statistical Association. 106: 608-625. DOI: 10.1198/Jasa.2011.Tm10159 |
0.681 |
|
| 2011 |
Nordman DJ, Lahiri SN. Bias expansion of spatial statistics and approximation of differenced lattice point counts Proceedings of the Indian Academy of Sciences: Mathematical Sciences. 121: 229-244. DOI: 10.1007/s12044-011-0024-9 |
0.696 |
|
| 2011 |
Chatterjee A, Lahiri SN. Strong consistency of lasso estimators Sankhya: the Indian Journal of Statistics. 73: 55-78. |
0.376 |
|
| 2010 |
Patel K, Lahiri SN, Spanos CJ. Robust estimation of line width roughness parameters Journal of Vacuum Science and Technology B:Nanotechnology and Microelectronics. 28: C6H18-C6H33. DOI: 10.1116/1.3517718 |
0.317 |
|
| 2010 |
Chatterjee A, Lahiri SN. Asymptotic properties of the residual bootstrap for lasso estimators Proceedings of the American Mathematical Society. 138: 4497-4509. DOI: 10.1090/S0002-9939-2010-10474-4 |
0.405 |
|
| 2010 |
Bandyopadhyay S, Lahiri SN. Resampling-based bias-corrected time series prediction Journal of Statistical Planning and Inference. 140: 3775-3788. DOI: 10.1016/J.Jspi.2010.04.042 |
0.51 |
|
| 2008 |
Hall P, Lahiri SN. Estimation of distributions, moments and quantiles in deconvolution problems Annals of Statistics. 36: 2110-2134. DOI: 10.1214/07-Aos534 |
0.493 |
|
| 2007 |
Nordman DJ, Sibbertsen P, Lahiri SN. Empirical likelihood confidence intervals for the mean of a long-range dependent process Journal of Time Series Analysis. 28: 576-599. DOI: 10.1111/j.1467-9892.2006.00526.x |
0.729 |
|
| 2007 |
Lahiri SN, Maiti T, Katzoff M, Parsons V. Resampling-based empirical prediction: An application to small area estimation Biometrika. 94: 469-485. DOI: 10.1093/Biomet/Asm035 |
0.433 |
|
| 2007 |
Lahiri SN, Furukawa K, Lee YD. A nonparametric plug-in rule for selecting optimal block lengths for block bootstrap methods Statistical Methodology. 4: 292-321. DOI: 10.1016/J.Stamet.2006.08.002 |
0.484 |
|
| 2007 |
Lahiri SN, Chatterjee A, Maiti T. Normal approximation to the hypergeometric distribution in nonstandard cases and a sub-Gaussian Berry-Esseen theorem Journal of Statistical Planning and Inference. 137: 3570-3590. DOI: 10.1016/J.Jspi.2007.03.033 |
0.387 |
|
| 2007 |
Nordman DJ, Lahiri SN, Fridley BL. Optimal block size of variance estimation by a spatial block bootstrap method Sankhya: the Indian Journal of Statistics. 69: 468-493. |
0.748 |
|
| 2006 |
Nordman DJ, Lahiri SN. A frequency domain empirical likelihood for short- and long-range dependence Annals of Statistics. 34: 3019-3050. DOI: 10.1214/009053606000000902 |
0.752 |
|
| 2006 |
Lahiri SN, Zhu J. Resampling methods for spatial regression models under a class of stochastic designs Annals of Statistics. 34: 1774-1813. DOI: 10.1214/009053606000000551 |
0.409 |
|
| 2006 |
Sun S, Lahiri SN. Bootstrapping the sample quantile of a weakly dependent sequence Sankhya: the Indian Journal of Statistics. 68: 130-166. |
0.393 |
|
| 2005 |
Lahiri SN. Consistency of the jackknife-after-bootstrap variance estimator for the bootstrap quantiles of a studentized statistic Annals of Statistics. 33: 2475-2506. DOI: 10.1214/009053605000000507 |
0.42 |
|
| 2005 |
Nordman DJ, Lahiri SN. Validity of the sampling window method for long-range dependent linear processes Econometric Theory. 21: 1087-1111. DOI: 10.1017/S0266466605050541 |
0.737 |
|
| 2005 |
Jeng SL, Lahiri SN, Meeker WQ. Asymptotic properties of bootstrapped likelihood ratio statistics for time censored data Statistica Sinica. 15: 35-57. |
0.427 |
|
| 2004 |
Nordman DJ, Lahiri SN. On optimal spatial subsample size for variance estimation Annals of Statistics. 32: 1981-2027. DOI: 10.1214/009053604000000779 |
0.727 |
|
| 2004 |
Chan V, Lahiri SN, Meeker WQ. Block bootstrap estimation of the distribution of cumulative outdoor degradation Technometrics. 46: 215-224. DOI: 10.1198/004017004000000266 |
0.507 |
|
| 2004 |
Lahiri SN, Mukherjee K. Asymptotic distributions of M-estimators in a spatial regression model under some fixed and stochastic spatial sampling designs Annals of the Institute of Statistical Mathematics. 56: 225-250. DOI: 10.1007/Bf02530543 |
0.488 |
|
| 2003 |
Nordman DJ, Lahiri SN. On optimal variance estimation under different spatial subsampling schemes Recent Advances and Trends in Nonparametric Statistics. 421-436. DOI: 10.1016/B978-044451378-6/50028-4 |
0.748 |
|
| 2002 |
Lee YD, Lahiri SN. Least squares variogram fitting by spatial subsampling Journal of the Royal Statistical Society. Series B: Statistical Methodology. 64: 837-854. DOI: 10.1111/1467-9868.00364 |
0.514 |
|
| 2002 |
Lahiri SN. On the Jackknife-after-bootstrap method for dependent data and its consistency properties Econometric Theory. 18: 79-98. DOI: 10.1017/S0266466602181059 |
0.519 |
|
| 2002 |
Lahiri SN, Lee Y, Cressie N. On asymptotic distribution and asymptotic efficiency of least squares estimators of spatial variogram parameters Journal of Statistical Planning and Inference. 103: 65-85. DOI: 10.1016/S0378-3758(01)00198-7 |
0.515 |
|
| 2002 |
Zhu J, Lahiri SN, Cressie N. Asymptotic inference for spatial CDFS over time Statistica Sinica. 12: 843-861. |
0.351 |
|
| 2001 |
Lahiri SN. Effects of block lengths on the validity of block resampling methods Probability Theory and Related Fields. 121: 73-97. |
0.318 |
|
| 1999 |
Lahiri SN, Kaiser MS, Cressie N, Hsu N. Prediction of Spatial Cumulative Distribution Functions Using Subsampling: Rejoinder Journal of the American Statistical Association. 94: 107. DOI: 10.2307/2669686 |
0.336 |
|
| 1999 |
Lahiri SN. Theoretical comparisons of block bootstrap methods Annals of Statistics. 27: 386-404. DOI: 10.1214/Aos/1018031117 |
0.502 |
|
| 1999 |
Lahiri SN, Kaiser MS, Cressie N, Hsu NJ. Prediction of Spatial Cumulative Distribution Functions Using Subsampling Journal of the American Statistical Association. 94: 86-97. DOI: 10.1080/01621459.1999.10473821 |
0.475 |
|
| 1999 |
Athreya KB, Fukuchi JI, Lahiri SN. On the bootstrap and the moving block bootstrap for the maximum of a stationary process Journal of Statistical Planning and Inference. 76: 1-17. DOI: 10.1016/S0378-3758(98)00140-2 |
0.478 |
|
| 1999 |
Lahiri SN. Asymptotic distribution of the empirical spatial cumulative distribution function predictor and prediction bands based on a subsampling method Probability Theory and Related Fields. 114: 55-84. |
0.333 |
|
| 1998 |
Athreya KB, Lahiri SN, Wu W. Inference for heavy tailed distributions Journal of Statistical Planning and Inference. 66: 61-75. DOI: 10.1016/S0378-3758(97)00077-3 |
0.435 |
|
| 1998 |
Lahiri SN. Bootstrapping weighted empirical processes that do not converge weakly Statistics and Probability Letters. 37: 295-302. DOI: 10.1016/S0167-7152(97)84156-9 |
0.364 |
|
| 1997 |
Lahiri SN. Variance stabilizing transformations, studentization and the bootstrap Journal of Statistical Planning and Inference. 61: 105-123. DOI: 10.1016/S0378-3758(97)89715-7 |
0.47 |
|
| 1997 |
Lahiri SN. On inconsistency of the jackknife-after-bootstrap bias estimator for dependent data Journal of Multivariate Analysis. 63: 15-34. DOI: 10.1006/Jmva.1997.1699 |
0.506 |
|
| 1997 |
Kaiser MS, Hsu NJ, Cressie N, Lahiri SN. Inference for spatial processes using subsampling: A simulation study Environmetrics. 8: 485-502. DOI: 10.1002/(Sici)1099-095X(199709/10)8:5<485::Aid-Env271>3.0.Co;2-3 |
0.466 |
|
| 1997 |
Karabulut I, Lahiri SN. Two-term Edgeworth expansion for M-estimators of a linear regression parameter without cramér-type conditions and an application to the bootstrap Journal of the Australian Mathematical Society. 62: 361-370. |
0.373 |
|
| 1996 |
Cressie N, Lahiri SN. Asymptotics for REML estimation of spatial covariance parameters Journal of Statistical Planning and Inference. 50: 327-341. DOI: 10.1016/0378-3758(95)00061-5 |
0.491 |
|
| 1996 |
Lahiri SN. On edgeworth expansion and moving block bootstrap for Studentized M-estimators in multiple linear regression models Journal of Multivariate Analysis. 56: 42-59. DOI: 10.1006/Jmva.1996.0003 |
0.377 |
|
| 1995 |
Hall P, Lahiri SN, Truong YK. On bandwidth choice for density estimation with dependent data The Annals of Statistics. 23: 2241-2263. DOI: 10.1214/Aos/1034713655 |
0.484 |
|
| 1995 |
Hall P, Lahiri SN, Polzehl J. On bandwidth choice in nonparametric regression with both short- and long-range dependent errors The Annals of Statistics. 23: 1921-1936. DOI: 10.1214/Aos/1034713640 |
0.391 |
|
| 1994 |
Koul HL, Lahiri SN. On Bootstrapping M-Estimated Residual Processes in Multiple Linear-Regression Models Journal of Multivariate Analysis. 49: 255-265. DOI: 10.1006/Jmva.1994.1025 |
0.373 |
|
| 1993 |
Lahiri SN. On the moving block bootstrap under long range dependence Statistics and Probability Letters. 18: 405-413. DOI: 10.1016/0167-7152(93)90035-H |
0.416 |
|
| 1993 |
Lahiri SN. Bootstrapping the Studentized Sample Mean of Lattice Variables Journal of Multivariate Analysis. 45: 247-256. DOI: 10.1006/Jmva.1993.1037 |
0.465 |
|
| 1993 |
Cressie N, Lahiri SN. The Asymptotic Distribution of REML Estimators Journal of Multivariate Analysis. 45: 217-233. DOI: 10.1006/Jmva.1993.1034 |
0.5 |
|
| 1992 |
Lahiri SN. Bootstrapping $M$-Estimators of a Multiple Linear Regression Parameter The Annals of Statistics. 20: 1548-1570. DOI: 10.1214/Aos/1176348784 |
0.387 |
|
| 1992 |
Lahiri SN. On the Bahadur-Ghosh-Kiefer representation of sample quantiles Statistics and Probability Letters. 15: 163-168. DOI: 10.1016/0167-7152(92)90130-W |
0.347 |
|
| 1992 |
Lahiri SN. Edgeworth expansions for M-estimators of a regression parameter Journal of Multivariate Analysis. 43: 125-132. DOI: 10.1016/0047-259X(92)90112-S |
0.433 |
|
| 1991 |
Lahiri SN. Second order optimality of stationary bootstrap Statistics and Probability Letters. 11: 335-341. DOI: 10.1016/0167-7152(91)90045-S |
0.392 |
|
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