Peter Bühlmann

Peter Lukas Bühlmann (born 12 April 1965 in Zürich) is a Swiss mathematician and mathematical statistician.

Peter Bühlmann, Oberwolfach 2012

Biography

Bühlmann studied mathematics from 1985 at the ETH Zurich with Diplom in 1990 and doctorate in 1993. His thesis The Blockwise Bootstrap in Time Series and Empirical Processes was written under the supervision of Hans Rudolf Künsch and Erwin Bolthausen.[1] At the University of California, Berkeley, Bühlmann was from 1994 to 1995 a postdoctoral research fellow and from 1995 to 1997 Neyman Assistant Professor. At ETH Zurich he became a lecturer in 1997 and is a full professor from 2004 to the present. From 2013 to 2017 he chaired the Department of Mathematics.[2]

His research deals with statistics, machine learning, and computer biology (including gene and protein analysis).

In 2018 he was an invited speaker at the International Congress of Mathematicians in Rio de Janeiro. He became in 2006 a Fellow of the Institute of Mathematical Statistics and in 2016 a Fellow of the American Statistical Association. He is an honorary doctor of the Catholic University of Louvain. In 2014/15 he was a Highly Cited Researcher at Thomson Reuters. From 2010 to 2012 he was a co-editor of the Annals of Statistics.

He is married and has four children. Bühlmann is a frequent mountaineer in the Alps.

Selected publications

Books

Articles

  • with N. Meinshausen: High-dimensional graphs and variable selection with the lasso, Annals of Statistics, vol. 34, 2006, pp. 1436–1462, Arxiv
  • with N. Meinshausen: Stability selection, Journal of the Royal Statistical Society: Series B, vol. 72, 2010, pp. 417–473 doi:10.1111/j.1467-9868.2010.00740.x
  • with L. Meier, S. Van de Geer: The group lasso for logistic regression, Journal of the Royal Statistical Society: Series B, vol. 70, 2008, pp. 53–71 doi:10.1111/j.1467-9868.2007.00627.x
  • with A. Prelić et al.: A systematic comparison and evaluation of biclustering methods for gene expression data, Bioinformatics, vol. 22, 2006, pp. 1122–1129 doi:10.1093/bioinformatics/btl060
  • with B. Yu: Boosting with the L2 loss: regression and classification, Journal of the American Statistical Association, vol. 98, 2003, pp. 324–339 doi:10.1198/016214503000125
  • with J. J. Goeman: Analyzing gene expression data in terms of gene sets: methodological issues, Bioinformatics, vol. 23, 2007, pp. 980–987 doi:10.1093/bioinformatics/btm051
  • with B. Yu: Analyzing bagging, Annals of Statistics, vol. 30, 2002, pp. 927–961 doi:10.1214/aos/1031689014
  • with T. Hothorn: Boosting algorithms: Regularization, prediction and model fitting, Statistical Science, vol. 22, 2007, pp. 477–505 doi:10.1214/07-STS242
  • with S. van de Geer: On the conditions used to prove oracle results for the Lasso, Electronic Journal of Statistics, vol. 3, 2009, pp. 1360–1392 doi:10.1214/09-EJS506
gollark: As planned.
gollark: And if a simple strategy works to get money, they'll do that, and it will no longer work.
gollark: What I mean is that people really like having money, and so there are lots of professionals working on doing trading to attain money.
gollark: Oops, that was accidentally quite insulting.
gollark: If it was actually a good and financially sound idea to run that sort of simple strategy, then presumably the many smart and competent people with more money looking at markets would do that, and thus eliminate any easy strategy available to people like you.

References

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