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, 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. 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.
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, 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.
Y. Chan, P. Hall. Using evidence of mixed populations to select variables for clustering very high-dimensional data. Journal of the American Statistical Association, 105, 798-809, 2010. doi: 10.1198/jasa.2010.tm09404.
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, 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.
Y. Chan, P. Hall. Scale adjustments for classifiers in high-dimensional, low sample size settings. Biometrika, 96, 469-478, 2009. doi: 10.1093/biomet/asp007.
Y. Chan, P. Hall. Robust nearest-neighbor methods for classifying high-dimensional data. Annals of Statistics, 37, 3186-3203, 2009. doi: 10.1214/08-AOS591.
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.
P. Hall, A. Robinson. Reducing variability of cross-validation for smoothing-parameter choice.. Biometrika, 96, 175-186, 2009. doi: 10.1093/biomet/asn068.
I. Gordon, P. Hall. Estimating a parameter when it is known that the parameter exceeds a given value. Australian & New Zealand Journal of Statistics, 51, 449-460, 2009. doi: 10.1111/j.1467-842X.2009.00557.x.
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.
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, 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.
R. Huggins, P. Hall, P. Yip, Q. Bui. Applications of Additive Semivarying Coefficient Models: Monthly Suicide Data from Hong Kong. Biometrics, 63, 708-713, 2007. doi: 10.1111/j.1541-0420.2006.00727.x.
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.