A. Delaigle, P Hall, W. HUANG, A Kneip. Estimating the Covariance of Fragmented and Other Related Types of Functional Data. Journal of the American Statistical Association, 1-19, 2020. doi: 10.1080/01621459.2020.1723597.
F. Camirand Lemyre, RJ Carroll, A. Delaigle. Semiparametric Estimation of the Distribution of Episodically Consumed Foods Measured With Error. Journal of the American Statistical Association, 1-13, 2020. doi: 10.1080/01621459.2020.1787840.
Jiadong Mao, A. Delaigle. Nonparametric estimation for streaming data. 2020.
A. Delaigle, A. Meister. Nonparametric density estimation for intentionally corrupted functional data. Statistica Sinica, 30, 1-39, 2020. doi: 10.5705/SS.202018.0484.
A. Delaigle, P Hall, T. Pham. Clustering functional data into groups by using projections. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 271-304, 2019. doi: 10.1111/rssb.12310.
A. Delaigle, W. HUANG, Shaoke Lei. Estimation of conditional prevalence from group testing data with missing covariates. Journal of the American Statistical Association, 467-480, 2019. doi: 10.1080/01621459.2019.1566071.
J. Tran, A. Delaigle. An explained sum of squares approach to nonparametric regression with measurement error. 2019.
Gauri Datta, A. Delaigle, Peter Gavin Hall , Lily Wang. Semi-parametric prediction intervals in small areas when auxiliary data are measured with error.. Statistica Sinica, 2309-2335, 2018. doi: 10.5705/ss.202016.0416.
Jinyuan Chang, A. Delaigle, Peter Hall, Chengyong Tang. A frequency domain analysis of the error distribution from noisy high-frequency data. Biometrika, 105, 353-369, 2018. doi: 10.1093/biomet/asy006.
G Howitt, A Melatos, A. Delaigle. Nonparametric Estimation of the Size and Waiting Time Distributions of Pulsar Glitches. Astrophysical Journal, 867, 60 (9pp), 2018. doi: 10.3847/1538-4357/aae20a.
W. HUANG, A. Delaigle. Spline techniques for incomplete and complex data. 2018.
A. Delaigle, P Hall. Approximating fragmented functional data by segments of Markov chains. Biometrika, 103, 779-799, 2016. doi: 10.1093/biomet/asw040.
A. Delaigle, Matt P Wand. A Conversation with Peter Hall. Statistical Science, 31, 275-304, 2016. doi: 10.1214/16-STS554.
A. Delaigle, A. Meister, Jeroen Rombouts. Root-T consistent density estimation in GARCH models. Journal of Econometrics, 192, 55-63, 2016. doi: 10.1016/j.jeconom.2015.10.009.
A. Delaigle, Peter Hall. Methodology for non-parametric deconvolution when the error distribution is unknown. Journal of the Royal Statistical Society Series B: Statistical Methodology, 78, 231-252, 2016. doi: 10.1111/rssb.12109.
A. Delaigle, Peter Hall, W. Zhou. Nonparametric Covariate-Adjusted Regression. Annals of Statistics, 44, 2190-2220, 2016. doi: 10.1214/16-AOS1442.
A. Delaigle. Peter Hall's Main Contributions to Deconvolution. Annals of Statistics, 44, 1854-1866, 2016. doi: 10.1214/16-AOS1491.
A. Delaigle. Nonparametric kernel methods for curve estimation and measurement errors. Proceedings of the International Astronomical Union, 10, 28-39, 2015. doi: 10.1017/S1743921314013489.
A. Delaigle, W. Zhou. Nonparametric and Parametric Estimators of Prevalence From Group Testing Data With Aggregated Covariates. Journal of the American Statistical Association, 110, 1785-1796, 2015. doi: 10.1080/01621459.2015.1054491.
A. Delaigle, P Hall. Nonparametric methods for group testing data, taking dilution into account. Biometrika, 102, 871-887, 2015. doi: 10.1093/biomet/asv049.
A. Delaigle, Peter Hall, Farshid Jamshidi. Confidence bands in non-parametric errorsin-variables regression. Journal of the Royal Statistical Society Series B: Statistical Methodology, 77, 149-169, 2015. doi: 10.1111/rssb.12067.
Shaoke Lei, A. Delaigle. Nonparametric methods for group testing data. 2015.
A. Delaigle, P. Hall. Parametrically Assisted Nonparametric Estimation of a Density in the Deconvolution Problem. Journal of the American Statistical Association, 109, 717-729, 2014. doi: 10.1080/01621459.2013.857611.
A. Delaigle, P. Hall, J. Wishart. New approaches to nonparametric and semiparametric regression for univariate and multivariate group testing data. Biometrika, 101, 567-585, 2014. doi: 10.1093/biomet/asu025.
A. Delaigle. Nonparametric Kernel Methods with Errors-in-Variables: Constructing Estimators, Computing them, and Avoiding Common Mistakes. Australian & New Zealand Journal of Statistics, 56, 105-124, 2014. doi: 10.1111/anzs.12066.
JP Buonaccorsi, A. Delaigle. Measurement error. 1-154, Springer, 2014. doi: 10.1007/978-3-319-05801-6_1.
A. Delaigle, P. Hall. Classification Using Censored Functional Data. Journal of the American Statistical Association, 108, 1269-1283, 2013. doi: 10.1080/01621459.2013.824893.
R. Carroll, A. Delaigle, P. Hall. Unexpected properties of bandwidth choice when smoothing discrete data for constructing a functional data classifier. Annals of Statistics, 41, 2739-2767, 2013. doi: 10.1214/13-AOS1158.
M. Bennett, A Melatos, A. Delaigle, P. Hall. Reanalysis of ƒ-statistic gravitational-wave searches with the higher criticism statistic. Astrophysical Journal, 766, 99 (10pp), 2013. doi: 10.1088/0004-637X/766/2/99.
A. Delaigle, P. Hall. Nonparametric regression with homogeneous group testing data. Annals of Statistics, 40, 131-158, 2012. doi: 10.1214/11-AOS952.
A. Delaigle, P. Hall. Achieving near perfect classification for functional data. Journal of the Royal Statistical Society Series B, 74, 267-286, 2012. doi: 10.1111/j.1467-9868.2011.01003.x.
A. Delaigle, P. Hall, N. Bathia. Componentwise classification and clustering of functional data. Biometrika, 99, 299-313, 2012. doi: 10.1093/biomet/ass003.
A. Delaigle, P. Hall. Methodology and theory for partial least squares applied to functional data. Annals of Statistics, 40, 322-352, 2012. doi: 10.1214/11-AOS958.
A. Delaigle, P. Hall. Comment: Robustness to Assumption of Normally Distributed Errors. Journal of the American Statistical Association, 107, 1036-1039, 2012. doi: 10.1080/01621459.2012.711730.
A. Delaigle, P. Hall. Effect of heavy tails on ultra high dimensional variable ranking methods. Statistica Sinica, 22, 909-932, 2012. doi: 10.5705/ss.2011.036.
R. Carroll, A. Delaigle, P. Hall. Deconvolution When Classifying Noisy Data Involving Transformations. Journal of the American Statistical Association, 107, 1166-1177, 2012. doi: 10.1080/01621459.2012.699793.
A. Achilleos, A. Delaigle. Local bandwidth selectors for deconvolution kernel density estimation. Statistics and Computing, 22, 563-577, 2012. doi: 10.1007/s11222-011-9247-y.
A. Delaigle, P. Hall. Theoretical properties of principal component score density estimators in functional data analysis. Sankt-Peterburgskii Universitet. Vestnik. Seriya 1. Matematika, Mekhanika, Astronomiya, 2011, 55-69, 2011.
A. Delaigle, A. Meister. Rate-optimal nonparametric estimation in classical and Berkson errors-in-variables problems. Journal of Statistical Planning and Inference, 141, 102-114, 2011. doi: 10.1016/j.jspi.2010.05.020.
R. Carroll, A. Delaigle, P. Hall. Testing and estimating shape-constrained nonparametric density and regression in the presence of measurement error.. Journal of the American Statistical Association, 106, 191-202, 2011. doi: 10.1198/jasa.2011.tm10355.
A. Delaigle, A. Meister. Nonparametric Regression Analysis for Group Testing Data. Journal of the American Statistical Association, 106, 640-650, 2011. doi: 10.1198/jasa.2011.tm10520.
A. Delaigle, A. Meister. Nonparametric function estimation under Fourier-oscillating noise. Statistica Sinica, 21, 1065-1092, 2011. doi: 10.5705/ss.2009.082.
A. Delaigle, P. Hall. Estimation of observation-error variance in errors-in-variables regression. Statistica Sinica, 21, 1023-1063, 2011. doi: 10.5705/ss.2009.039.
A. Delaigle, P. Hall, J. Jin. Robustness and accuracy of methods for high dimensional data analysis based on Student's t-statistic. Journal of the Royal Statistical Society Series B, 73, 283-301, 2011. doi: 10.1111/j.1467-9868.2010.00761.x.
A. Delaigle, P. Hall. Kernel methods and minimum contrast estimators for empirical deconvolution. 185-203, Cambridge University Press, 2010.
A. Delaigle, P. Hall. Defining probability density for a distribution of random functions. Annals of Statistics, 38, 1171-1193, 2010. doi: 10.1214/09-AOS741.
S. Chen, A. Delaigle, P. Hall. Nonparametric estimation for a class of Lévy processes. Journal of Econometrics, 157, 257-271, 2010. doi: 10.1016/j.jeconom.2009.12.005.
A. Delaigle, Madeleine Cule, R. Samworth, M. Stewart. Maximum likelihood estimation of a multi-dimensional log-concave density - Comment. Journal of the Royal Statistical Society Series B, 72, 578-579, 2010. doi: 10.1111/j.1467-9868.2010.00753.x.
A. Delaigle, P. Hall. Discussion of 'identification and estimation of non-linear models using two samples with nonclassical measurement errors'. Journal of Nonparametric Statistics, 22, 401-404, 2010. doi: 10.1080/10485250903105017.
A. Delaigle, J. Fan, R. Carroll. A Design-adaptive Local Polynomial Estimator for the Errors-in-Variables Problem. Journal of the American Statistical Association, 104, 348-359, 2009. doi: 10.1198/jasa.2009.0114.
A. Delaigle, P. Hall, T. Apanasovich. Weighted least squares methods for prediction in the functional data linear model. Electronic Journal of Statistics, 3, 865-885, 2009. doi: 10.1214/09-EJS379.
R. Carroll, A. Delaigle, P. Hall. Nonparametric prediction in measurement error models. Journal of the American Statistical Association, 104, 993-1003, 2009. doi: 10.1198/jasa.2009.tm07543.
R. Carroll, A. Delaigle, P. Hall. Rejoinder: Nonparametric prediction in measurement error models. Journal of the American Statistical Association, 104, 1013-1014, 2009. doi: 10.1198/jasa.2009.tm09398.
A. Delaigle, P. Hall. Higher criticism in the context of unknown distribution, non-independence and classification. 7, 109-138, World Scientific Publishing Co, 2009.
A. Delaigle, P. Hall, A. Meister. On deconvolution with repeated measurements. Annals of Statistics, 36, 665-685, 2008. doi: 10.1214/009053607000000884.
A. Delaigle, P. Hall. Using SIMEX for Smoothing-Parameter Choice in Errors-in-Variables Problems. Journal of the American Statistical Association, 103, 280-287, 2008. doi: 10.1198/016214507000001355.
A. Delaigle. An alternative view of the deconvolution problem. Statistica Sinica, 18, 1025-1045, 2008.
A. Delaigle, A. Meister. Density estimation with heteroscedastic error. Bernoulli, 14, 562-579, 2008. doi: 10.3150/08-BEJ121.
P. Hall, A. Delaigle, R. Carroll. Nonparametric regression estimation from data contaminnated by a mixture of Berkson and classical errors. Journal of the Royal Statistical Society Series B, 69, 859-878, 2007. doi: 10.1111/j.1467-9868.2007.00614.x.
A. Delaigle, A. Meister. Nonparametric regression estimation in the heteroscedastic errors-in-variables problem.. Journal of the American Statistical Association, 102, 1416-1426, 2007. doi: 10.1198/016214507000000987.
H Muller, J. Wang, W Yu, A. Delaigle, J Carey, Hans-Georg Mueller, HG Müller. Survival and Aging in the Wild via Residual Demography. Theoretical Population Biology, 72, 513-522, 2007. doi: 10.1016/j.tpb.2007.07.003.
A. Delaigle, P. Hall, H Muller, Hans-Georg Mueller, HG Müller. Accelerated convergence for nonparametric regression with coarsened predictors. Annals of Statistics, 35, 2639-2653, 2007. doi: 10.1214/009053607000000497.
A. Delaigle, I Gijbels. Frequent problems in calculating integrals and optimizing obejctive functions: a case study in density deconvolution.. Statistics and Computing, 17, 349-355, 2007. doi: 10.1007/s11222-007-9024-0.
A. Delaigle. Nonparametric density estimation from data with a mixture of Berkson and classical errors. Canadian Journal of Statistics, 35, 89-104, 2007. doi: 10.1002/cjs.5550350109.
A. Delaigle, P. Hall, P. Qiu. Nonparametric methods for solving the Berkson errors-in-variables problem. Journal of the Royal Statistical Society Series B, 68, 201-220, 2006. doi: 10.1111/j.1467-9868.2006.00540.x.
A. Delaigle, P. Hall. On optimal kernel choice for deconvolution. Statistics and Probability Letters, 76, 1594-1602, 2006. doi: 10.1016/j.spl.2006.04.016.
A. Delaigle, I Gijbels. Estimation of boundary and discontinuity points in deconvolution problems. Statistica Sinica, 16, 773-788, 2006.
A. Delaigle, I Gijbels. Data-driven boundary estimation in deconvolution problems. Computational Statistics & Data Analysis, 50, 1965-1994, 2006. doi: 10.1016/j.csda.2005.02.012.
A. Delaigle, I Gijbels. Practical bandwidth selection in deconvolution kernel density estimation. Computational Statistics & Data Analysis, 45, 249-267, 2004. doi: 10.1016/S0167-9473(02)00329-8.
A. Delaigle, I Gijbels. Bootstrap bandwidth selection in kernel density estimation from a contaminated sample. Institute of Statistical Mathematics Annals, 56, 19-47, 2004. doi: 10.1007/BF02530523.
A. Delaigle, I Gijbels. Estimation of integrated squared density derivatives from a contaminated sample. Journal of the Royal Statistical Society Series B, 64, 869-886, 2002. doi: 10.1111/1467-9868.00366.