U Melbourne Faculty of Science
Department of Mathematics and Statistics


Aurore Delaigle

Degrees
Previous positions
Editorial Service
Planned visits
Publications
Talks
Funding for foreign students
Statistical ressources
LaTeX ressources
Other links



Aurore Delaigle

Degrees



Previous positions (in reverse chronological order)



Editorial service

Associate Editor for JASA (2008-2011), JCGS, JRSSB, Statistica Sinica, Journal of Nonparametric Statistics and the Journal of the Korean Statistical Society.
On the editorial board of the Springer Series Statistique et probabilités appliquées.

Planned trips/visits

I am regularly in Europe or in the US. Contact me for more info.

Publications

      In Journals or books:
  • Delaigle, A. and Hall, P. (2012). Methodology and theory for partial least squares applied to functional data. Annals of Statistics, doi 10.1214/11-AOS958
    Download pdf file
  • Delaigle, A., Hall, P. and Bathia, N. (2012). Componentwise classification and clustering of functional data. Biometrika, doi:10.1093/biomet/ass003
    Download pdf file
  • Delaigle, A. and Hall, P. (2012). Nonparametric regression with homogeneous group testing data. Annals of Statistics, doi 10.1214/11-AOS952
    Download pdf file
  • Delaigle, A. and Hall, P. (2012). Achieving near-perfect classification for functional data. JRSS,B, doi 10.1111/j.1467-9868.2011.01003.x
    Download pdf file
  • Delaigle, A. and Hall, P. (2012). Effect of Heavy-Tails on Ultra High Dimensional Variable Ranking Methods. Statistica Sinica, doi:10.5705/ss.2011.036. Download pdf file
  • Achilleas, A. and Delaigle, A.(2012). Local bandwidth selectors for deconvolution kernel density estimation. Statistics and Computing, 22, 563-577
    DOI: 10.1007/s11222-011-9247-y. Download pdf file and supplement



  • Delaigle, A. and Meister, A. (2011). Nonparametric Regression Analysis for Group Testing Data. JASA, 106, 640-650. Download pdf file Note: look in Delaigle and Hall (2012) for corrected graphs of the real data analysis
  • Carroll, R.J., Delaigle, A., Hall, P. (2011). Testing and estimating shape-constrained nonparametric density and regression in the presence of measurement error. JASA, 106, 191-202 Download pdf file
  • Delaigle, A., Hall, P. and Jin, J. (2011). Robustness and accuracy of methods for high dimensional data analysis based on Student's t statistic. JRSS,B, 73, 283-301,
    DOI: 10.1111/j.1467-9868.2010.00761.x Download pdf file
  • Delaigle, A. and Meister, A. (2011). Nonparametric function estimation under Fourier-oscillating noise. Statistica Sinica, 21, 1065-1092.
    (this paper is about deconvolution by kernel methods when the characteristic function of the measurement errors has some zeros)
    DOI:10.5705/ss.2009.082. Download pdf file
  • Delaigle, A. and Hall, P. (2011). Estimation of observation-error variance in errors-in-variables regression. Statistica Sinica, 21, 1023-1063.
    DOI:10.5705/ss.2009.039. Download pdf file
  • Delaigle, A. and Meister, A. (2011). Rate-optimal nonparametric estimation in classical and Berkson errors-in-variables problems. Journal of Statistical Planning and Inference, 141, 102-114. Download pdf file
  • Delaigle, A. and Hall, P. (2011). Theoretical properties of principal component score density estimators in functional data analysis. Vestnik of St-Petersburg university, Ser. 1 (Mathematics, Mechanics, Astronomy), 2011, Issue 2, 55-69.

  • Delaigle, A. (2010). Discussion of the paper Maximum Likelihood estimator of a multidimensional log-concave density by M. Cule, R. Samworth and M. Stewart. JRSS, B, 72, 578-579.
  • Delaigle, A. and Hall, P. (2010). Defining probability density for a distribution of random functions. Annals of Statistics, 38, 1171-1193. Download pdf file
  • Chen, S.X., Delaigle, A. and Hall, P. (2010). Nonparametric Estimation for a class of Levy process. Journal of Econometrics, 157, 257-271. Download pdf file.
  • Delaigle, A. and Hall, P. (2010). Discussion of the paper "Identification and Estimation of Nonlinear Models Using Two Samples with Nonclassical Measurement Errors" by Carroll, Chen and Hu. Journal of Nonparametric Statistics, 22, 401-404.
  • Delaigle, A. and Hall, P. (2010). Kernel methods and minimum contrast estimators for empirical deconvolution. In Probability and Mathematical Genetics, Papers in Honour of Sir John Kingman, London Mathematical Society Lecture Note Series. Chapter 8. Edited by N.H. Bingham and C.M. Goldie. Cambridge University Press. Download pdf file.


  • Delaigle, A., Fan, J. and Carroll, R.J. (2009). A Design-adaptive Local Polynomial Estimator for the Errors-in-Variables Problem. JASA, 104, 348-359 Download pdf file
  • Carroll, R.J., Delaigle, A., Hall, P. (2009). Nonparametric Prediction in Measurement Error Models. JASA, 104, 993-1003. Download pdf file
  • Carroll, R.J., Delaigle, A., Hall, P. (2009). Nonparametric Prediction in Measurement Error Models: Rejoinder. JASA, 104, 1013-1014.
  • Delaigle, A., Hall, P. and Apanasovich, T. (2009). Weighted least squares methods for prediction in the functional data linear model. Electronic Journal of Statistics, 3, 865-885 Download pdf file
  • Delaigle, A. and Hall, P. (2009). Higher criticism in the context of unknown distribution, non-independence and classification. In Perspectives in mathematical sciences I: Probability and Statistics. Chapter 6 (page 109-138), Edited by N. Sastry, M. Delampady, B. Rajeev and TSSRK Rao. World Scientific Publishing. Download pdf file


  • Delaigle, A. (2008). An alternative view of the deconvolution problem. Statistica Sinica, 18, 1025-1045. Download pdf file (this paper explains why using the formula for Laplace errors when the error is not Laplace, often gives good practical results)
  • Delaigle, A. and Hall, P. (2008). Using SIMEX for smoothing-parameter choice in errors-in-variables problems. JASA, 103, 280-287 Download pdf file and the technical details written in the format of an older version: Technical details of older version
  • Delaigle, A., Hall, P. and Meister, A. (2008). On Deconvolution with repeated measurements. Annals of Statistics, 36, 665-685, doi:10.1214/009053607000000884. Download published pdf file or an older version that contains more technical details
  • Delaigle, A. and Meister, A. (2008). Density estimation with heteroscedastic error. Bernoulli, 14, 562-579, doi:10.3150/08-BEJ121 .


  • Delaigle, A., Hall, P. and Muller, H-G. (2007). Accelerated convergence for nonparametric regression with coarsened predictors. Annals of Statistics, 35, 2639-2653, doi:10.1214/009053607000000497. Download pdf file
  • Delaigle, A. and Meister, A. (2007). Nonparametric regression estimation in the heteroscedastic errors-in-variables problem. JASA , 102, 1416-1426 , doi:10.1198/016214507000000987 Download pdf file
  • Carroll, R.J., Delaigle, A., Hall, P. (2007). Nonparametric regression estimation from data contaminated by a mixture of Berkson and classical errors. JRSS,B, 69, 859-878 , DOI: 10.1111/j.1467-9868.2007.00614.x . Download pdf file
  • Delaigle, A. and Gijbels, I. (2007). Frequent problems in calculating integrals and optimizing objective functions: a case study in density deconvolution.  Statistics and Computing, 17, 349 - 355, DOI: 10.1007/s11222-007-9024-0, Download pdf file
    This paper explains how to compute the deconvolution kernel estimator in practice and all sorts of numerical issues arising when not calculating the estimator correctly.
  • Muller, H-G., Wang, J-L., Yu, W., Delaigle, A. and Carey, J. (2007). Survival and Aging in the Wild via Residual Demography. Theoretical Population Biology, 72, 513-522
  • Delaigle, A. (2007). Nonparametric density estimation from data with a mixture of Berkson and classical errors. Canadian Journal of Statistics, 35, 89- 104.


  • Delaigle, A. and Hall, P. (2006). On optimal kernel choice for deconvolution.  Statistics and Probability Letters, 76, 1594–1602.
  • Delaigle, A., Hall, P. and Qiu, P. (2006). Nonparametric methods for solving the Berkson errors-in-variables problem. Journal of the Royal Statistical Society, B, 68, 201-220.
  • Delaigle, A. and I. Gijbels (2006). Estimation of boundary and discontinuity points in deconvolution problems. Statistica Sinica, 16, 773 -788. Long version
  • Delaigle, A. and I. Gijbels (2006). Data-driven boundary estimation in deconvolution problems. Computational Statistics and Data Analysis, 50, 1965 - 1994.


  • Delaigle, A. and I. Gijbels (2004). Bootstrap bandwidth selection in kernel density estimation from a contaminated sample, Annals of the Institute of Statistical Mathematics, 56, 19 - 47.
  • Delaigle, A. and I. Gijbels (2004). Practical bandwidth selection in deconvolution kernel density estimation, Computational Statistics and Data Analysis, 45, 249 - 267.
  • Delaigle, A. and I. Gijbels (2002). Estimation of integrated squared density derivatives from a contaminated sample, Journal of the Royal Statistical Society, B, 64, 869-886. .
      Other work:
  • Soetewey S., Delaigle A., Baguette M., Leboulengé E., Rolin J-M. (1999). Exploiting regional data sets for the comparison of population structures: a case study for three common butterflies. Manuscript.


Talks
  • July 2011: IMS-China International Conference on Statistics and Probability 2011, XiAn, China.
  • June 2011: WNAR, San Luis Obispo, USA.
  • June 2011: Graybill 2011 Conference, Fort Collins, USA.
  • May 2011: Statistical inverse Problems workshop, College Station, USA.
  • April 2011: Statistics Seminar, Department of Mathematics, Université Libre de Bruxelles, Belgium.
  • April 2011: Statistics Seminar, Department of Mathematics, University of Extremadura, Spain.
  • December 2010: Séminaire d'économétrie et statistique, Laboratoire EQUIPPE, Université de Lille 3, France.
  • September 2010: Statistics Seminar, Department of Mathematics and Statistics, La Trobe University, Australia.
  • August 2010: European Meeting of Statisticians, Athens, Greece.
  • August 2010: IMS Gothenburg, Sweden.
  • August 2010: Joint Statistical Meeting, Vancouver, Canada.
  • July 2010: Statistics Seminar, Department of Mathematics, University of Rostock, Germany.
  • June 2010: Statistics Seminar, Department of Mathematics and Statistics, University of Melbourne, Australia.
  • May 2010: Statistics Seminar, ORFE, Princeton University, USA.
  • March 2010: Statistics Seminar, School of Mathematics and Statistics, University of New South Wales, Australia.
  • November 2009: Statistics Seminar, School of Mathematics and Physics, The University of Queensland, Australia.
  • August 2009: Joint Statistical Meeting: JASA, Theory and Methods Invited Session, Washington, USA.
  • July 2009: 2009 International Conference on Financial Statistics and Financial Econometrics, Chengdu, China.
  • July 2009: IMS China 2009, Weihai, China.
  • June 2009: ICSA 2009 Applied statistics symposium, Statistica Sinica Special invited session, San Francisco, USA.
  • May 2009: International Conference on Nonparametric Methods for Measurement Error Models and Related Topics, Fields Institute/School of Mathematics and Statistics, Carleton University, Canada.
  • March 2009: IAMCS-KAUST lecture, 'Nonparametric regression estimation and prediction from contaminated data ', Department of Statistics, Texas A and M University, USA.
  • September 2008: Statistics Seminar, 'Local polynomial estimator for the errors-in-variables problem ', Department of Mathematics, Universite Libre de Bruxelles, Belgium.
  • September 2008: Banff International Research Station, 'Local polynomial estimator for the errors-in-variables problem ', Banff, Canada.
  • August 2008: Joint Statistical Meeting, 'Design-Adaptive Local Polynomial Estimator For The Errors-In-Variables Problem', Denver, USA
  • April 2008: Statistics Seminar, 'SIMEX selection of the smoothing parameter for nonparametric regression with errors-in-variables ', Department of Mathematics, University of Bath, UK.
  • January 2008: Joint Econometrics and Statistics Workshop, 'SIMEX selection of the smoothing parameter for nonparametric regression with errors-in-variables ', Department of Statistics and Department of Economics, London School of Economics, UK.
  • January 2008: Statistics Seminar, 'Using SIMEX for bandwidth selection in nonparametric regression problems with measurement errors', WIAS Institute, University of Berlin, Germany.
  • October 2007: Statistics Seminar, 'Using SIMEX for bandwidth selection in nonparametric regression problems with measurement errors', University of Ulm, Germany.
  • August 2007: Joint Statistical Meeting, 'Smoothing Parameter Choice in Deconvolution Problems ', Salt Lake City,  USA.
  • June 2007: 2007 Taipei International Statistical Symposium and ICSA International Conference , 'On Optimal Smoothing Parameter Choice in Deconvolution Problems', Taipei, Taiwan.
  • June 2007: Econometrics and Business Statistics Seminar, 'Nonparametric curve estimation from contaminated data', Department of Econometrics and Business Statistics, Monash University, Australia.
  • May 2007: 'Nonparametric estimation of a regression curve when the observations are not measured precisely ', Monthly meeting of the Victoria Branch of the Statistical Society of Australia, Melbourne, Australia.
  • May 2007: Statistics Seminar, 'Estimation of a regression function when the observations contain measurement errors: Berkson vs classical errors', School of Matematics and Statistics, University of Sydney, Australia.
  • April 2007: Mathematics Colloquium, 'Estimation of a regression function when the observations contain measurement errors: Berkson vs classical errors', Department of Matematics and Statistics, University of Melbourne, Australia.
  • March 2007: Statistics Seminar, 'Nonparametric curve estimation from contaminated data', Department of Matematics and Statistics, University of Melbourne, Australia.
  • January 2007: Statistics Seminar, 'Curve estimation: Berkson errors vs classical errors', Statistics Group , Department of Matematics, University of Bristol, UK.
  • November 2006: Statistics Seminar, 'Nonparametric regression with coarsened predictors', Statistical Laboratory , University of Cambridge, UK.
  • August 2006: Joint Statistical Meeting, 'Nonparametric regression with coarsened predictors', Seattle,  USA.
  • November 2005: 'Curve estimation and contaminated data', Statistics Seminar, Department of Statistic, UC Riverside, USA.
  • October 2005: 'Nonparametric estimation of a regression curve', Students colloquium,  Department of Mathematics, University of California, San Diego , USA.
  • October 2005: 'Curve estimation and contaminated data', Statistics Seminar, Department of Biostatistic, UCLA
  • July 2005: 'Estimation of boundaries and discontinuities from contaminated data.' 25th European Meeting of Statisticians, Oslo, Norway
  • July 2005: 'Nonparametric regression with coarsened predictors'  Perspectives in Modern Statistical Sciences III Mikulov, Czech Republic.
  • April 2005: 55th Session of the International Statistical Institute, 'Nonparametric regression with coarsened predictors', Sydney,  Australia.
  • February 2005. Statistics Seminar, 'Curve estimation and contaminated data', Center for Mahtematics and its Applications, Australian National University, Australia.
  • January 2005 : Division Seminar, 'Curve estimation and measurement errors', Division of Biostatistics, University of California, San Diego , USA.
  • July 2004 : IMS Annual Meeting/ 6th Bernoulli World Congress : 'Nonparametric deconvolution and wild aging', Barcelone, Spain.
  • March 2004 : Statistics Seminar, 'Density estimation and the deconvolution problem', Department of Statistics, University of Toronto , Canada.
  • February 2004 : Statistics Seminar, 'Density estimation and the deconvolution problem', Department of Mathematics, University of California, San Diego , USA.
  • February 2004 : Statistics Seminar, 'Problèmes d'estimation d'une densité sur base de données erronées', Département de Math/Stat, Université Laval, Canada.
  • February 2004 : Statistics Seminar, 'Problèmes d'estimation d'une densité sur base de données erronées', Département de Math/Stat, Université de Montréal, Canada.
  • February 2004 : Statistics Seminar, 'Density estimation and the deconvolution problem', School of Statistics, University of Minnesota , USA.
  • January 2004 : Statistics Seminar, 'Density estimation and the deconvolution problem', School of Mathematics and Statistics, Carleton University , Canada.
  • January 2004 : Statistics Seminar, 'Density estimation and the deconvolution problem', Department of Statistics and Actuarial Science, University of Waterloo, Canada. Abstract
  • November 2003 : Statistics Seminar, 'Density estimation and deconvolution problems', Department of Statistics, University of California, Davis , USA.
  • March 2003 : Workshop on Statistical Modelling for Complex Data, 'Estimation of boundaries from contaminated data', Diepenbeek, Belgium.
  • October 2002 : 10th Annual Meeting of the Belgian Statistical Society, 'Density estimation in the deconvolution problem', Poster Session, Kerkrade, The Netherlands.
  • July 2002 :  Current Advances and Trends in Nonparametric Statistics, 'Density estimation in the deconvolution problem', Crete, Grece. .
  • June 2002 : Statistics Seminar, 'Density estimation and the deconvolution problem', Matematisk institutt, University of Oslo, Norway.
  • May 2002 :  Workshop on statistical modelling and inference  : 'Estimation of endpoints in the deconvolution problem', Poster Session, Louvain-la-Neuve, Belgium.
  • May 2002 :  XXXIVèmes Journées de Statistique : 'Estimation du support d'une densité dans le problème de déconvolution ', Brussels and Louvain-la-Neuve, Belgium.
  • March 2002 : Statistics Seminar, 'Density estimation and the deconvolution problem',  Center for Statistics, LUC, Diepenbeek, Belgium.
  • February 2002 : PAI, Workshop 1  Part 1 : 'Nonparametric estimation of a frontier function in case of stochastic frontiers', Louvain-la-Neuve, Belgium.
  • February 2002 : Séminaire des jeunes chercheurs, 'Estimation of the support of an unknown density from a sample measured with error', Louvain-la-Neuve, Belgium. Abstract
  • October 2001 : 9th Annual Meeting of the Belgian Statistical Society, 'Kernel estimation of a density based on contaminated data', Oostende, Belgium. .
  • August 2001 : European Meeting of Statisticiens, 'Bandwidth selection in deconvolving kernel estimation', Funchal, Madera, Portugal.
  • February 2001 : Séminaire des jeunes chercheurs, 'Practical methods of selection of the bandwidth for the deconvolving kernel estimator', Louvain-la-Neuve, Belgium. Abstract .
  • February 2000 : Séminaire des jeunes chercheurs, 'Practical bandwidth selection in kernel estimation of a density based on contaminated data', Louvain-la-Neuve, Belgium. Abstract


Funding available for foreign students
  • Funding is available, but the competition is tough. See here for various sources of funding, including grants to pay your international fees, etc: Study in Australia
  • Si vous faites déjà une thèse en France, il y a aussi une autre source:  cotutelle grants





Contact information


Department of Mathematics and Statistics,
University of Melbourne
Victoria 3010
Australia

Phone:  +61 (0) 3 8344 9731
Fax:  +61 (0)3 8344 4599
E-mail:  A.Delaigle & ms.unimelb.edu.au
(here, & stands for at)