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There are 18585 results for: content related to: Sparsity and smoothness via the fused lasso

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    Sure independence screening for ultrahigh dimensional feature space

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 70, Issue 5, November 2008, Pages: 849–911, Jianqing Fan and Jinchi Lv

    Version of Record online : 3 OCT 2008, DOI: 10.1111/j.1467-9868.2008.00674.x

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    Stability selection

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 72, Issue 4, September 2010, Pages: 417–473, Nicolai Meinshausen and Peter Bühlmann

    Version of Record online : 5 JUL 2010, DOI: 10.1111/j.1467-9868.2010.00740.x

  3. Regression coefficient and autoregressive order shrinkage and selection via the lasso

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 69, Issue 1, February 2007, Pages: 63–78, Hansheng Wang, Guodong Li and Chih-Ling Tsai

    Version of Record online : 12 JAN 2007, DOI: 10.1111/j.1467-9868.2007.00577.x

  4. Model selection and estimation in regression with grouped variables

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 68, Issue 1, February 2006, Pages: 49–67, Ming Yuan and Yi Lin

    Version of Record online : 21 DEC 2005, DOI: 10.1111/j.1467-9868.2005.00532.x

  5. Bayesian hierarchical structured variable selection methods with application to molecular inversion probe studies in breast cancer

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 63, Issue 4, August 2014, Pages: 595–620, Lin Zhang, Veerabhadran Baladandayuthapani, Bani K. Mallick, Ganiraju C. Manyam, Patricia A. Thompson, Melissa L. Bondy and Kim-Anh Do

    Version of Record online : 10 MAR 2014, DOI: 10.1111/rssc.12053

  6. DASSO: connections between the Dantzig selector and lasso

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 71, Issue 1, January 2009, Pages: 127–142, Gareth M. James, Peter Radchenko and Jinchi Lv

    Version of Record online : 24 JUL 2008, DOI: 10.1111/j.1467-9868.2008.00668.x

  7. Variance estimation using refitted cross-validation in ultrahigh dimensional regression

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 74, Issue 1, January 2012, Pages: 37–65, Jianqing Fan, Shaojun Guo and Ning Hao

    Version of Record online : 10 OCT 2011, DOI: 10.1111/j.1467-9868.2011.01005.x

  8. Regularization and variable selection via the elastic net

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 67, Issue 2, April 2005, Pages: 301–320, Hui Zou and Trevor Hastie

    Version of Record online : 9 MAR 2005, DOI: 10.1111/j.1467-9868.2005.00503.x

  9. Regression shrinkage and selection via the lasso: a retrospective

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 73, Issue 3, June 2011, Pages: 273–282, Robert Tibshirani

    Version of Record online : 20 APR 2011, DOI: 10.1111/j.1467-9868.2011.00771.x

  10. The joint graphical lasso for inverse covariance estimation across multiple classes

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 76, Issue 2, March 2014, Pages: 373–397, Patrick Danaher, Pei Wang and Daniela M. Witten

    Version of Record online : 12 AUG 2013, DOI: 10.1111/rssb.12033

  11. Strong rules for discarding predictors in lasso-type problems

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 74, Issue 2, March 2012, Pages: 245–266, Robert Tibshirani, Jacob Bien, Jerome Friedman, Trevor Hastie, Noah Simon, Jonathan Taylor and Ryan J. Tibshirani

    Version of Record online : 3 NOV 2011, DOI: 10.1111/j.1467-9868.2011.01004.x

  12. Selection of ordinally scaled independent variables with applications to international classification of functioning core sets

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 60, Issue 3, May 2011, Pages: 377–395, Jan Gertheiss, Sara Hogger, Cornelia Oberhauser and Gerhard Tutz

    Version of Record online : 8 FEB 2011, DOI: 10.1111/j.1467-9876.2010.00753.x

  13. The group lasso for logistic regression

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 70, Issue 1, February 2008, Pages: 53–71, Lukas Meier, Sara Van De Geer and Peter Bühlmann

    Version of Record online : 4 JAN 2008, DOI: 10.1111/j.1467-9868.2007.00627.x

  14. Local shrinkage rules, Lévy processes and regularized regression

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 74, Issue 2, March 2012, Pages: 287–311, Nicholas G. Polson and James G. Scott

    Version of Record online : 5 JAN 2012, DOI: 10.1111/j.1467-9868.2011.01015.x

  15. A Survey of L1 Regression

    International Statistical Review

    Volume 81, Issue 3, December 2013, Pages: 361–387, Diego Vidaurre, Concha Bielza and Pedro Larrañaga

    Version of Record online : 24 OCT 2013, DOI: 10.1111/insr.12023

  16. Learning out of leaders

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 74, Issue 3, June 2012, Pages: 475–513, Mathilde Mougeot, Dominique Picard and Karine Tribouley

    Version of Record online : 16 MAR 2012, DOI: 10.1111/j.1467-9868.2011.01024.x

  17. A scheme to deal accurately and efficiently with complex angular masks in galaxy surveys

    Monthly Notices of the Royal Astronomical Society

    Volume 349, Issue 1, March 2004, Pages: 115–128, A. J. S. Hamilton and Max Tegmark

    Version of Record online : 10 MAR 2004, DOI: 10.1111/j.1365-2966.2004.07490.x

  18. High dimensional structured additive regression models: Bayesian regularization, smoothing and predictive performance

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 60, Issue 1, January 2011, Pages: 51–70, Thomas Kneib, Susanne Konrath and Ludwig Fahrmeir

    Version of Record online : 5 JUL 2010, DOI: 10.1111/j.1467-9876.2010.00723.x

  19. SMT: Sparse multivariate tree

    Statistical Analysis and Data Mining: The ASA Data Science Journal

    Volume 7, Issue 1, February 2014, Pages: 53–69, Houtao Deng, Mustafa Gokce Baydogan and George Runger

    Version of Record online : 30 DEC 2013, DOI: 10.1002/sam.11208

  20. High dimensional variable selection via tilting

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 74, Issue 3, June 2012, Pages: 593–622, Haeran Cho and Piotr Fryzlewicz

    Version of Record online : 15 FEB 2012, DOI: 10.1111/j.1467-9868.2011.01023.x