The University of Western Australia
School of Mathematics and Statistics

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My Publications

The following list of research publication is organised according to the headings used by The University of Western Australia (and partly also by the Australian government) to evaluate research output of academics.

http://www.researcherid.com/rid/A-4995-2008 provides, based solely on data from articles with citation data from ISI Web of Knowledge, information on how often (some of) my publications have been cited.

Since most publishers require you to transfer the copyright to them, I generally delete links to PostScript files when I move entries of technical reports to this page. Please contact me if you would like to get a copy of one of these papers.

If the link is not deleted, the PostScript file may differ from the published version as I keep updating references etc. Note that all PostScript files are gzip'd.

A Book

A3 Edited:

  1. Härdle, W., Klinke, S. and Turlach, B.A. (eds) (1995). XploRe: An Interactive Statistical Computing Environment, Statistics and Computing, Springer-Verlag, New York.

B BOOK CHAPTER

B1 Book Chapter (Commercial Publisher):

  1. Schimek, M.G. and Turlach, B.A. (2000). Additive and generalized additive models, in M.G. Schimek (ed.), Smoothing and Regression. Approaches, Computation and Application, John Wiley & Sons, New York, chapter 10, pp. 277–327.
  2. Hilbe, J.M. and Turlach, B.A. (1995). Generalized Linear Models, in W. Härdle, S. Klinke and B.A. Turlach (eds), XploRe: An Interactive Statistical Computing Environment, Statistics and Computing, Springer-Verlag, New York, chapter 10, pp. 195–222.
  3. Kötter, T.T. and Turlach, B.A. (1995). Additive Modeling, in W. Härdle, S. Klinke and B.A. Turlach (eds), XploRe: An Interactive Statistical Computing Environment, Statistics and Computing, Springer-Verlag, New York, chapter 11, pp. 223–250.

C JOURNAL ARTICLE

C1 Refereed article in a scholarly journal:

  1. Hazelton, M.L. and Turlach, B.A. (2009). Nonparametric density deconvolution by weighted kernel estimators, Statistics and Computing 19(3): 217–228. Doi:10.1007/s11222-008-9086-7.
  2. Hazelton, M.L. and Turlach, B.A. (2009). Semiparametric density deconvolution, Scandinavian Journal of Statistics. Accepted for publication.
  3. Boucek, J.A., Francis, R.J., Jones, C.G., Khan, N., Turlach, B.A. and Green, A.J. (2008). Assessment of tumour response with 18F-fluorodeoxyglucose positron emission tomography using 3-dimensional measures compared to SUVmax—a phantom study, Physics in Medicine and Biology 53(16): 4213–4230. Doi:10.1088/0031-9155/53/16/001.
  4. Kusumastuti, D.I., Sivapalan, M., Struthers, I., Reynolds, D.A., Murray, K. and Turlach, B.A. (2008). Thresholds in the storm response of a catchment-lake system and the occurrence and magnitude of lake overflows: Implications for flood frequency, Water Resources Research 44(2): W02438. Doi:10.1029/2006WR005628.
  5. Czarn, A., MacNish, C., Vijayan, K. and Turlach, B.A. (2007). The detrimentality of crossover, in M.A. Orgun and J. Thornton (eds), Australian Conference on Artificial Intelligence, Vol. 4830 of Lecture Notes in Computer Science, Springer-Verlag, Berlin, pp. 632–636. Doi:10.1007/978-3-540-76928-6_66.
  6. Hazelton, M.L. and Turlach, B.A. (2007). Reweighted kernel density estimation, Computational Statistics & Data Analysis 51(6): 3057–3069. Doi:10.1016/j.csda.2006.02.002.
  7. Turlach, B.A. (2006). An even faster algorithm for ridge regression of reduced rank data, Computational Statistics & Data Analysis 50(3): 642–658. Doi:10.1016/j.csda.2004.09.007.
  8. Murphy, B.W., Webster, R.J., Turlach, B.A., Quirk, C.J., Clay, C.D., Heenan, P.J. and Sampson, D.D. (2005). Towards the discrimination of early melanoma from common and dysplastic nevus using fiber optic diffuse reflectance spectroscopy, Journal of Biomedical Optics 10(6): 064020. Doi:10.1117/1.2135799.
  9. Turlach, B.A. (2005). Shape constrained smoothing using smoothing splines, Computational Statistics 20(1): 81–104. Doi:10.1007/BF02736124.
  10. Turlach, B.A., Venables, W.N. and Wright, S.J. (2005). Simultaneous variable selection, Technometrics 47(3): 349–363. Doi:10.1198/004017005000000139.
  11. Czarn, A., MacNish, C., Vijayan, K. and Turlach, B.A. (2004). Statistical exploratory analysis of genetic algorithms: The influence of gray codes upon the difficulty of a problem, in G.I. Webb and X. Yu (eds), AI 2004: Advances in Artificial Intelligence, Vol. 3339 of Lecture Notes in Computer Science, Springer-Verlag, Berlin, pp. 1246–1252. Doi:10.1007/b104336.
  12. Czarn, A., MacNish, C., Vijayan, K., Turlach, B.A. and Gupta, R. (2004). Statistical exploratory analysis of genetic algorithms, IEEE Transactions on Evolutionary Computation 8(4): 405–421. Doi:10.1109/TEVC.2004.831262.
  13. Hall, P., Park, B.U. and Turlach, B.A. (2002). Rolling-ball method for estimating the boundary of the support of a point-process intensity, Annales de l'Institut Henri Poincaré (B) Probability and Statistics 38(6): 959–971. Doi:10.1016/S0246-0203(02)01132-9.
  14. Hall, P., Seifert, B. and Turlach, B.A. (2001). On adaptation to sparse design in bivariate local linear regression, Journal of the Korean Statistical Society 30(2): 231–246.
  15. Mammen, E., Marron, J.S., Turlach, B.A. and Wand, M.P. (2001). A general projection framework for constrained smoothing, Statistical Science 16(3): 232–248. Doi:10.1214/ss/1009213727.
  16. Hall, P., Presnell, B. and Turlach, B.A. (2000). Reducing bias without prejudicing sign, Annals of the Institute of Statistical Mathematics 52(3): 507–518. Doi:10.1023/A:1004173520112.
  17. Osborne, M.R., Presnell, B. and Turlach, B.A. (2000). A new approach to variable selection in least squares problems, IMA Journal of Numerical Analysis 20(3): 389–403. Doi:10.1093/imanum/20.3.389.
  18. Osborne, M.R., Presnell, B. and Turlach, B.A. (2000). On the LASSO and its dual, Journal of Computational and Graphical Statistics 9(2): 319–337.
  19. Cheng, M.Y., Hall, P. and Turlach, B.A. (1999). High-derivative parametric enhancements of nonparametric curve estimators, Biometrika 86(2): 417–428. Doi:10.1093/biomet/86.2.417.
  20. Hall, P. and Turlach, B.A. (1999). On the estimation of a convex set with corners, IEEE Transactions on Pattern Analysis and Machine Intelligence 21(3): 225–234. Doi:10.1109/34.754588.
  21. Hall, P. and Turlach, B.A. (1999). Reducing bias in curve estimation by use of weights, Computational Statistics & Data Analysis 30(1): 67–86. Doi:10.1016/S0167-9473(98)00081-4.
  22. Hegland, M., McIntosh, I. and Turlach, B.A. (1999). A parallel solver for generalised additive models, Computational Statistics & Data Analysis 31(4): 377–396. Doi:10.1016/S0167-9473(99)00038-9.
  23. Hall, P., Park, B.U. and Turlach, B.A. (1998). A note on design transformation and binning in nonparametric curve estimation, Biometrika 85(2): 469–476. Doi:10.1093/biomet/85.2.469.
  24. Fisher, N.I., Hall, P., Turlach, B.A. and Watson, G.S. (1997). On the estimation of a convex set from noisy data on its support function, Journal of the American Statistical Association 92(437): 84–91.
  25. Hall, P. and Turlach, B.A. (1997). Enhancing convolution and interpolation methods for nonparametric regression, Biometrika 84(4): 779–790. Doi:10.1093/biomet/84.4.779.
  26. Hall, P. and Turlach, B.A. (1997). Interpolation methods for adapting to sparse design in nonparametric regression (with discussion), Journal of the American Statistical Association 92(438): 466–476.
  27. Hall, P. and Turlach, B.A. (1997). Interpolation methods for nonlinear wavelet regression with irregularly spaced design, Annals of Statistics 25(5): 1912–1925. Doi:10.1214/aos/1069362378.
  28. Hall, P., Koul, H.L. and Turlach, B.A. (1997). Note on convergence rates of semiparametric estimators of dependence index, Annals of Statistics 25(4): 1725–1739. Doi:10.1214/aos/1031594739.
  29. Hall, P., McKay, I. and Turlach, B.A. (1996). Performance of wavelet methods for functions with many discontinuities, Annals of Statistics 24(6): 2462–2476. Doi:10.1214/aos/1032181162.
  30. Turlach, B.A. and Wand, M.P. (1996). Fast computation of auxiliary quantities in local polynomial regression, Journal of Computational and Graphical Statistics 5(4): 337–350.
  31. Härdle, W. and Turlach, B.A. (1992). Nonparametric approaches to generalized linear models, in L. Fahrmeier, B. Francis, R. Gilchrist and G. Tutz (eds), Advances in GLIM and Statistical Modelling, Vol. 78 of Lecture Notes in Statistics, Springer-Verlag, New York, pp. 213–225.
  32. Park, B.U. and Turlach, B.A. (1992). Practical performance of several data driven bandwidth selectors (with discussion), Computational Statistics 7(3): 251–270. Correction in Vol. 9, p. 79.

C2 Other contribution to refereed journal:

  1. Turlach, B.A. (2004). Contribution to discussion of ``Least Angle Regression'' by Efron, Hastie, Johnstone and Tibshirani, Annals of Statistics 32(2): 481–490.

D MAJOR REVIEW:

  1. Turlach, B.A. (2005). Spline smoothing, in P. Armitage and T. Colton (eds), Encyclopedia of Biostatistics, 2 edn, Vol. 7, John Wiley & Sons, Chichester, pp. 5118–5124.

E CONFERENCE PUBLICATION

E1 Full written paper — peer reviewed

  1. Czarn, A., MacNish, C., Vijayan, K. and Turlach, B.A. (2004). Statistical exploratory analysis of genetic algorithms: The importance of interaction, Proceedings of the 2004 Congress on Evolutionary Computation (CEC2004), Vol. 2, IEEE Press, Piscataway, New Jersey, pp. 2288–2295.

E2 Full written paper — non refereed proceedings

  1. Turlach, B.A. and Wright, S.J. (2006). Simultaneous variable selection: Some further thoughts, 2006 Proceedings of the American Statistical Association, Section on Physical and Engineering Sciences [CD-ROM], American Statistical Association, Alexandria, VA, pp. 1776–1787.
  2. Turlach, B.A. (2005). On algorithms for solving least squares problems under an L1 penalty or an L1 constraint (PDF [139K], PostScript [129K]), 2004 Proceedings of the American Statistical Association, Statistical Computing Section [CD-ROM], American Statistical Association, Alexandria, VA, pp. 2572–2577.
  3. Hall, P. and Turlach, B.A. (1998). Bagging in the presence of outliers (PDF [ 97K], PostScript [ 97K]), in D.W. Scott (ed.), Mining and Modeling Massive Data Sets In Science, Engineering, and Business, Vol. 29(1) of Computing Science and Statistics, Interface Foundation of North America, Inc., Fairfax Station, VA 22039–7460, pp. 536–539.
  4. Hall, P. and Turlach, B.A. (1998). On local polynomial smoothers and their competitors (PDF [186K], PostScript [158K]), in I. Proença and Z. Mendes (eds), Mathematics Applied to Economics and Management, 5th conference CEMAPRE, Instituto Superior de Economia e Gestão, pp. 69–87.
  5. Osborne, M.R., Presnell, B. and Turlach, B.A. (1998). Knot selection for regression splines via the LASSO (PDF [171K], PostScript [138K]), in S. Weisberg (ed.), Dimension Reduction, Computational Complexity, and Information, Vol. 30 of Computing Science and Statistics, Interface Foundation of North America, Inc., Fairfax Station, VA 22039–7460, pp. 44–49.
  6. Marron, J.S., Turlach, B.A. and Wand, M.P. (1997). Local polynomial smoothing under qualitative constraints (PDF [103K], PostScript [117K]), in L. Billard and N.I. Fisher (eds), Graph-Image-Vision, Vol. 28 of Computing Science and Statistics, Interface Foundation of North America, Inc., Fairfax Station, VA 22039–7460, pp. 647–652.
  7. Hall, P. and Turlach, B.A. (1996). Comments (on papers by Marron; Cleveland and Loader; and Seifert and Gasser), in W. Härdle and M.G. Schimek (eds), Statistical Theory and Computational Aspects of Smoothing, Contributions to Statistics, Physica-Verlag, Heidelberg, pp. 80–84.
  8. Turlach, B.A. (1994). Fast implementation of density-weighted average derivative estimation, in J. Sall and A. Lehman (eds), Computationally Intensive Statistical Methods, Vol. 26 of Computing Science and Statistics, Interface Foundation of North America, Inc., Fairfax Station, VA 22039–7460, pp. 28–33.
  9. Härdle, W. and Turlach, B.A. (1993). Semiparametric approaches to dimension reduction, in A. Karmann, K. Mosler, M. Schader and G. Uebe (eds), Operations Research '92, Physica-Verlag, Heidelberg, pp. 352–369.


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