Book Draft, version of September 8, 2015 (pdf)

2005 | 2004 | 2001 | 2000 | 1999 | 1998 | 1997 | 1996 | 1995 | 1994 |

Remarks: Papers published before 1994 are listed here. For articles shown as "Available from JSTOR. ," the highlighted title links to a prepublication version, not necessarily the same as the published version.

As yet unpublished

- Sparse Principal Components Analysis by Iain M. Johnstone and Arthur Y. Lu

- Empirical Bayes selection of wavelet thresholds by Iain M. Johnstone and Bernard W. Silverman.
*Ann. Statist*,**33**, to appear. Click here for the software used to carry out the simulations in the paper.

- Least Angle Regression (with discussion) by Bradley Efron, Trevor Hastie, Iain M. Johnstone, and Robert Tibshirani,
*Annals of Statistics,***32**, 407-499.

**Software**: LARS software for R and Splus

- Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences, Iain M. Johnstone and Bernard W. Silverman,
*Annals of Statistics,***32**, 1594-1649 .

- Wavelet Deconvolution in a periodic setting, Iain M. Johnstone, Gerard Kerkyacharian, Dominique Picard and Marc Raimondo,
*J. Royal. Statistical Society, Ser. B.*,**66**547-573, with discussion and rejoinder, 627-652. - Boundary Coiflets for wavelet shrinkage in function estimation, Iain M. Johnstone and Bernard W. Silverman,
*J. Applied Probability,***41A**, 81-98. - Periodic Boxcar Deconvolution and Diophantine Approximation by Iain M. Johnstone and Marc Raimondo,
*Annals of Statistics,***32**, 1781-1804.

- On the distribution of the largest eigenvalue in principal components analysis. by Iain M. Johnstone.
*Annals of Statistics,***29**, 295--327. - Thresholding for weighted chi-squared. by Iain M. Johnstone.
*Statistica Sinica*,**11**, 691--704. - Chi-square Oracle Inequalities. In
*State of the Art in Probability and Statistics, Festchrift for Willem R. van Zwet*, M. de Gunst, C. Klaassen & A. van der Waart, editors.*IMS Lecture Notes - Monographs*,**36**, 399--418.

- Adapting to Unknown Sparsity by Controlling the False Discovery Rate by Felix Abramovich, Yoav Benjamini, David L. Donoho, and Iain M. Johnstone

- Wavelets
and the theory of non-parametric function by Iain M. Johnstone.
*Phil. Trans. Roy. Soc. Lond. A.***357**, 2475--2494. - Wavelet shrinkage for correlated data and inverse problems: adaptivity results by Iain M. Johnstone.
*Statistica Sinica*,**9**, 51--83. - Asymptotic minimaxity of wavelet estimators with sampled data by David L. Donoho and Iain M. Johnstone,
*Statistica Sinica*,**9**, 1--32.

- Empirical Bayes approaches to mixture problems and wavelet regression by Iain Johnstone and Bernard W. Silverman
- Exact risk analysis of wavelet regression by J.S. Marron, S. Adak, I.M. Johnstone, M.H. Neumann and P. Patil.
*J. Comput. Graphical Stat.*,**7**, 278--309. - Minimax estimation via wavelet shrinkage by D.L.\ Donoho and Iain M. Johnstone.
*Annals of Statistics*,**26**, 879--921. Available from JSTOR.

- Wavelet threshold estimators for data with correlated noise by Iain M. Johnstone and Bernard W. Silverman
*J. Roy. Statist. Soc.*,**59**, 319--351. Available from JSTOR. - Universal near minimaxity of wavelet shrinkage by David L. Donoho, Iain M. Johnstone, Gérard Kerkyacharian, and Dominique Picard. In
*Festschrift for Lucien Le Cam: Research Papers in Probability and Statistics*, D. Pollard, E. Torgerson and G. Yang (eds.). Springer Verlag, 183--218.

- Density Estimation by Wavelet Thresholding by David L. Donoho, Iain M. Johnstone, Gérard Kerkyacharian and Dominique Picard
*Ann. Statist.*,**24**, 508--539. Available from JSTOR. - Neo-Classical Minimax Problems, Thresholding and Adaptation by David L. Donoho and Iain M. Johnstone
*Bernoulli*,**2**, 39--62.

- Adapting to Unknown Smoothness via Wavelet Shrinkage by David L. Donoho and Iain M. Johnstone
*J. Amer. Statist. Assn.*,**90**,1200--1224. Available from JSTOR. - Wavelet Shrinkage: Asymptopia by David L. Donoho, Iain M. Johnstone, Gérard Kerkyacharian and Dominique Picard (with discussion, see JSTOR link),
*J. Roy. Statist. Soc.*,**57**, 301--369. Available from JSTOR.

- Ideal Denoising in an Orthonormal Basis Chosen from a Library of Bases by David L. Donoho and Iain M. Johnstone
*C. R. Acad. Sci. Paris, Ser.I*,**319**, 1317--1322. - Ideal Spatial Adaptation via Wavelet Shrinkage With figures by David L. Donoho and Iain M. Johnstone
*Biometrika*,**81**, 425--455. Available from JSTOR. - Minimax Risk Over lp-Balls for lq-Error by David L. Donoho and Iain M. Johnstone
*Prob. Th. Rel. Fields*,**99**, 277--303. - On minimax estimation of a sparse normal mean vector by Iain M. Johnstone
*Ann. Statist.*,**22**, 271--289. Available from JSTOR. - Minimax Bayes, asymptotic minimax and sparse wavelet priors by Iain M. Johnstone
*Statistical Decision Theory and Related Topics, V,*S.S. Gupta and J.O. Berger, eds., 303--326.