Bernard Silverman: papers and reports

Click here for a recent CV including a full list of publications. I regret that I do not distribute printed reprints, but you are very welcome to download papers linked to this web page. (But please note that it may be a breach of copyright to download and print papers that are in published journals.)   Books are listed separately on my home page.

As yet unpublished| 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999 | 1998 | earlier | return to home

As yet unpublished

• Multivariate nonparametric regression using lifting by Maarten Jansen, Guy P. Nason and Bernard W. Silverman.
• Perfect simulation for wavelet thresholding with correlated coefficients by Graeme K. Ambler and Bernard W. Silverman.  Click here for a link to the software used for the work in the paper.
• Perfect simulation of spatial point processes using dominated coupling from the past, with application to a multiscale area-interaction point process by Graeme K. Ambler and Bernard W. Silverman. Click here for a link to the software used for the work in the paper.

2005

• The contribution of species richness and composition to bacterial services by Thomas Bell, Jonathan A. Newman, Bernard W. Silverman, Sarah L. Turner and Andrew K. Lilley.  Nature, to appear.

• EbayesThresh:  R programs for Empirical Bayes thresholding by Iain M. Johnstone and Bernard W. Silverman.  Journal of Statistical Software, 12.8, 1-38. with accompanying software, manual and data.   
• EbayesThresh: Empirical Bayes thresholding and related methods  by Bernard W. Silverman.    R package, version 1.3.0.   Source code and documentation, as available from the CRAN archive.   The package can also be downloaded and installed directly from within R.   There is also a MATLAB translation carried out by A. Antoniadis and M. Jansen:  EbayesThresh:  MATLAB software for Empirical Bayes thresholding.
• Empirical Bayes selection of wavelet thresholds by Iain M. Johnstone and Bernard W. Silverman.  Ann. Statist, 33, 1700-1752.  Click here for the software used to carry out the simulations in the paper.
• Functional adaptive model estimation  by Gareth M. James and Bernard W. Silverman.  Journal of the American Statistical Association, 100, 565-576.   Click here for a link to software and details of the work not given in the paper.

2004

• Boundary coiflets for wavelet shrinkage in function estimation by Iain M. Johnstone and Bernard W. Silverman.  J. Appl. Prob., 41A, 81-98.
• Needles and hay in haystacks: Empirical Bayes estimates of possibly sparse sequences by Iain M. Johnstone and Bernard W. Silverman.  Ann. Statist, 32, 1594-1649. 
• GM Science Review: Second Report. by D. King and 26 others including BWS.

2003

• GM Science Review: First Report. by D. King and 26 others including BWS.

2002

• Posterior probability intervals for wavelet thresholding. by S. Barber, G. P. Nason and B. W. Silverman.  J. Royal Statist. Soc. Ser. B. , 64, 189-205.

2001

• Some new methods for wavelet density estimation by D. R. M. Herrick, G.P. Nason and B. W. Silverman.  Sankhya Series A, 63, 394-411.
• Incorporating information on neighboring coefficients into wavelet estimation by T. Tony Cai and Bernard W. Silverman. Sankhya Series B, 63, 127-148. Click here for software and related material.
• A wavelet mixture approach to the estimation of image deformation functions. by T. R. Downie and B. W. Silverman.  Sankhya Series B, 63, 181-198.
• The shape of the intercondylar notch of the human femur : a comparison of osteoarthritic and non-osteoarthritic bones from a skeletal sample by Lee Shepstone, Juliet Rogers, John R Kirwan and Bernard W Silverman. Annals of the Rheumatic Diseases, 82, 968-973.
• Extremely Large Variations of Atmospheric 14C Concentration During the Last Glacial Period by J. Warren Beck, David A. Richards, R. Lawrence Edwards, Bernard W. Silverman, Peter L. Smart, Douglas. J. Donahue, Sofia Hererra-Osterheld, George. S. Burr, Leal Calsoyas, A. J. Timothy Jull, and Dana Biddulph. Science, 292, 2453-2458.
• Functional Data Analysis by J. O. Ramsay and B. W. Silverman. In J. Smelser and Paul B. Baltes (editors) International Encyclopedia of the Social & Behavioral Sciences. Pergamon, Oxford. pp 5822-8.
• Scattered data smoothing by empirical Bayesian shrinkage of second generation wavelet coefficients by M. Jansen, G. P. Nason and B. W. Silverman.  In M. Unser and A. Aldroubi, Editors, Wavelet Applications in Signal and Image Processing IX Proceedings of SPIE Vol. 4478, pp 87 - 97.  Postscript version.

2000

• Stochastic expansions in an overcomplete wavelet dictionary by F. Abramovich, T. Sapatinas and B. W. Silverman. Probability Theory and Related Fields. 117, 133-144. 
• Wavelets for Regression and other Statistical Problems In Smoothing and Regression: Approaches, Computation and Application (ed. M. G. Schimek), New York: Wiley, pp 159-191.
• Extending the scope of wavelet regression methods by coefficient-dependent thresholding by A. Kovac and B. W. Silverman. Journal of the American Statistical Association, 95, 172-183. 
• The distribution of distal femoral osteophytes in a human skeletal population by L. Shepstone, J. Rogers, J. R. Kirwan and B. W. Silverman. Annals of the Rheumatic Diseases, 59, 513-520.
• Life after Bakke where whites and blacks agree:  Public support for fairness in educational opportunities by Carol M. Swain, Robert R. Rodgers and Bernard W. Silverman,  Harvard BlackLetter Law Journal, 16, 147-184.

1999

• Wavelets: the key to intermittent information? by B. W. Silverman and J. C. Vassilicos.  Phil. Trans. R. Soc. Lond. A., 357, 2393-2395. (1999). Introduction to the edited volume (Phil. Trans. R. Soc. Lond. A., 357, number 1760) consisting of papers presented at a Discussion Meeting organized at the Royal Society in February 1999.
• Wavelets in statistics: beyond the standard assumptions. by Bernard W. Silverman. February 1999. Postscript version. Phil. Trans. R. Soc. Lond. A., 357, 2459-2473.
• The shape of the distal femur:  A palaeopathological comparison of eburnated and non-eburnated femora.by L. Shepstone, J. Rogers, J. R. Kirwan and B. W. Silverman.  Annals of the Rheumatic Diseases, 58, 72--78.  Some of the underlying data are available
• Pathology specific changes in equine ground reaction force data demonstrated by principal components analysis by G. E. Williams, B. W. Silverman, A. M. Wilson and A. E. Goodship.  American Journal of Veterinary Research, 60, 549-555. (1999). 

1998

• The effect of foot imbalance on point of force application in the horse by A.M. Wilson, T.J. Seelig, R.A. Shield and B.W.Silverman.  Equine Veterinary Journal,  30. 540-545. (1998).
• Wavelets in statistics: some recent developments. by B. W. Silverman, February 1998  In Payne R. and Green P. (eds)  Compstat: Proceedings in Computational Statistics 1998.  Heidelberg: Physica-Verlag, pp 15--26.
• The progesterone data: will simpler functional data analyses suffice? by J. O. Ramsay and B. W. Silverman, January 1998.  J. Amer. Statist. Assoc. 93, 988-990.
• Wavelet Thresholding via a Bayesian Approach by F. Abramovich, T. Sapatinas and B. W. Silverman. Revised version published 1998 as J. Roy. Statist. Soc. Ser. B., 60, 725-749.
• The Discrete Multiple Wavelet Transform and Thresholding Methods by T. R. Downie and B. W. Silverman.  A revised version published September 1998 in IEEE Transactions on Signal Processing, 46, 2558-2561.
• Wavelet decomposition approaches to statistical inverse problems by F. Abramovich and B. W. Silverman. (Revised version published 1998 as Biometrika, 85, 115-129.)

Previous years

• Wavelet threshold estimators for data with correlated noise by Iain M. Johnstone and Bernard W. Silverman. (Published 1997 as J. Roy. Statist. Soc. B., 59, 319-351)
• A wavelet based approach to deformable templates by T. R. Downie, L. Shepstone and B. W. Silverman, April 1996. (In Proceedings in Image Fusion and Shape Variability Techniques, eds K. V. Mardia, C. A. Gill and I. L. Dryden, Leeds: Leeds University Press, pp. 163--169, 1996.)

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