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2014

Invited Discussion of Big Bayes stories and BayesBag.
Statistical Science, 29:91 - 94, 2014.
P. Buehlmann.
[BibTeX] 
CAM: Causal Additive Models, high-dimensional order search and penalized regression.
To appear in the Annals of Statistics. Preprint arXiv:1310.1533, 2014.
P. Bühlmann, J. Peters und J. Ernest.
[BibTeX] 
Invited Discussion on "The Evolution of Boosting Algorithms" and "Extending Statistical Boosting" (A. Mayr, H. Binder, O. Gefeller and M. Schmid).
To appear in Methods of Information in Medicine, 2014.
P. Bühlmann.
[BibTeX] 
Invited Discussion on "A significance test for the Lasso (R. Lockhart, J. Taylor, R. Tibshirani and R. Tibshirani)".
Annals of Statistics, 42:469-477, 2014.
P. Bühlmann, L. Meier und S. van de Geer.
[BibTeX] 
High-Dimensional Statistics with a View Toward Applications in Biology.
Annual Review of Statistics and Its Application, 1(1):255-278, 2014.
Peter Bühlmann, Markus Kalisch und Lukas Meier.
[doi]  [BibTeX] 
High-dimensional variable screening and bias in subsequent inference, with an empirical comparison.
Computational Statistics, 29(3-4):407-430, 2014.
Peter Bühlmann und Jacopo Mandozzi.
[doi]  [BibTeX] 
Fixing the Leak: Unemployment Incidence before and after a Major Reform of Unemployment Benefits in Germany.
German Economic Review, 15(3):329-352, 2014.
Stephan Dlugosz, Gesine Stephan und Ralf A. Wilke.
[doi]  [BibTeX] 
Iterative estimation of solutions to noisy nonlinear operator equations in nonparametric instrumental regression .
Journal of Econometrics , 178, Part 3(0):444 - 455, 2014.
Fabian Dunker, Jean-Pierre Florens, Thorsten Hohage, Jan Johannes und Enno Mammen.
[doi]  [BibTeX] 
Maximum-Likelihood Estimation of a Log-Concave Density based on Censored Data.
Electronic Journal of Statistics, 8:1405-1437, 2014.
Lutz Dümbgen, Kaspar Rufibach und Dominic Schuhmacher.
[doi]  [BibTeX] 
Asymptotic laws for change point estimation in inverse regression.
Statistica Sinica, 2014.
Sophie Frick, Thorsten Hohage und Axel Munk.
[doi]  [BibTeX] 
Statistical Approach to Protein Quantification.
Molecular & Cellular Proteomics, 13(2):666-677, 2014.
Sarah Gerster, Taejoon Kwon, Christina Ludwig, Mariette Matondo, Christine Vogel, Edward M. Marcotte, Ruedi Aebersold und Peter Bühlmann.
[doi]  [Kurzfassung]  [BibTeX] 
Jointly interventional and observational data: estimation of interventional Markov equivalence classes of directed acyclic graphs.
Journal of the Royal Statistical Society: Series B (Statistical Methodology):n/a-n/a, 2014.
Alain Hauser und Peter Bühlmann.
[doi]  [BibTeX] 
Two optimal strategies for active learning of causal models from interventional data .
International Journal of Approximate Reasoning , 55(4):926 - 939, 2014. Special issue on the sixth European Workshop on Probabilistic Graphical Models
Alain Hauser und Peter Bühlmann.
[doi]  [BibTeX] 
Conditional transformation models.
Journal of the Royal Statistical Society: Series B (Statistical Methodology), 76(1):3-27, 2014.
Torsten Hothorn, Thomas Kneib und Peter Bühlmann.
[doi]  [BibTeX] 
Causal Structure Learning and Inference: A Selective Review.
Quality Technology & Quantitative Management, 11:2 - 21, 2014.
Markus Kalisch und Peter Buehlmann.
[BibTeX] 
Statistical convergence of Markov experiments to diffusion limits.
Bernoulli, 20(2):623-644, 2014.
Valentin Konakov, Enno Mammen und Jeannette Woerner.
[BibTeX] 
Hypersurfaces and Their Singularities in Partial Correlation Testing.
Foundations of Computational Mathematics:1-38, 2014.
Shaowei Lin, Caroline Uhler, Bernd Sturmfels und Peter Bühlmann.
[doi]  [BibTeX] 
High-dimensional learning of linear causal networks via inverse covariance estimation.
To appear in the Journal of Machine Learning Research. Preprint arXiv:1311.3492, 2014.
P. Loh und P. Bühlmann.
[BibTeX] 
Identifiability of Gaussian structural equation models with equal error variances.
Biometrika, 101(1):219-228, 2014.
J. Peters und P. Bühlmann.
[doi]  [Kurzfassung]  [BibTeX] 
GLMMLasso: An Algorithm for High-Dimensional Generalized Linear Mixed Models Using l1-Penalization.
Journal of Computational and Graphical Statistics, 23(2):460-477, 2014.
Jürg Schelldorfer, Lukas Meier und Peter Bühlmann.
[doi]  [BibTeX] 
Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression.
Econometric Reviews, 2014.
Ulrike Schneider.
[BibTeX] 
Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems.
Journal of Machine Learning Research, 15:1903-1928, 2014.
Nicolas Städler, Daniel J. Stekhoven und Peter Bühlmann.
[doi]  [BibTeX] 
On asymptotically optimal confidence regions and tests for high-dimensional models.
The Annals of Statistics, 42(3):1166-1202, 2014.
Sara van de Geer, Peter Buehlmann, Ya'acov Ritov und Ruben Dezeure.
[doi]  [BibTeX] 
On the uniform convergence of empirical norms and inner products, with application to causal inference.
Electronic Journal of Statistics, 8:543-574, 2014.
Sara van de Geer.
[doi]  [BibTeX] 
Weakly decomposable regularization penalties and structured sparsity.
Scandinavian Journal of Statistics, 41(1):72-86, 2014.
Sara van de Geer.
[doi]  [BibTeX] 

2013

CAM: Causal Additive Models, high-dimensional order search and penalized regression.
CoRR, abs/1310.1533, 2013.
Peter Buehlmann, Jonas Peters und Jan Ernest.
[doi]  [BibTeX] 
Stochastic search for semiparametric linear regression models.
In: M. Banerjee, F. Bunea, J. Huang, V. Koltchinskii und M. H. Maathuis (Herausgeber): From Probability to Statistics and Back: High-Dimensional Models and Processes. A Festschrift in Honor of Jon Wellner, Band 9, Reihe IMS Collections, Seiten 78-90. Institute of Mathematical Statistics, Hayward, California, 2013.
Lutz Dümbgen, Richard Samworth und Dominic Schuhmacher.
[BibTeX] 
Statistical Multiresolution Estimation for Variational Imaging: With an Application in Poisson-Biophotonics..
Journal of Mathematical Imaging and Vision, 46(3):370-387, 2013.
Klaus Frick, Philipp Marnitz und Axel Munk.
[doi]  [BibTeX] 
Regularized Bayesian estimation of generalized threshold regression models.
Bayesian Analysis, 2013.
F. Greb, T. Krivobokova, A. Munk und S. von Cramon-Taubadel.
[BibTeX] 
Extreme value analysis of empirical frame coefficients and implications for denoising by soft-thresholding .
Applied and Computational Harmonic Analysis (0): - , 2013.
Markus Haltmeier und Axel Munk.
[doi]  [BibTeX] 
Idealizing ion channel recordings by jump segmentation and statistical multiresolution analysis.
IEEE Trans. on NanoBioScience, 12:376-386, 2013.
T. Hotz, O. Schuette, H. Sieling, T. Polupanow, U. Diederichsen, C. Steinem und A. Munk.
[BibTeX] 
New Concentration Inequalities for Suprema of Empirical Processes.
2013.
Johannes Lederer und Sara van de Geer.
[doi]  [BibTeX] 
Statistical inference for the optimal approximating model.
Probab. Theory Related Fields, 155(3-4):839-865, 2013.
Angelika Rohde und Lutz Dümbgen.
[doi]  [BibTeX] 
Multiscale methods for shape constraints in deconvolution: confidence statements for qualitative features.
Ann. Statist., 41(3):1299-1328, 2013.
Johannes Schmidt-Hieber, Axel Munk und Lutz Dümbgen.
[doi]  [BibTeX] 
The Lasso, correlated design, and improved oracle inequalities.
2013.
Sara van de Geer und Johannes Lederer.
[doi]  [BibTeX] 

2012

Systems-based analysis of Arabidopsis leaf growth reveals adaptation to water deficit.
Molecular Systems Biology, 8(606), 2012.
Katja Baerenfaller und et al..
[doi]  [BibTeX] 
The effectiveness of public sponsored training revisited: The importance of data and methodological choices.
ECON - Working Papers, Department of Economics - University of Zurich, 2012. Nummer 091.
Martin Biewen, Bernd Fitzenberger, Aderonke Osikominu und Marie Paul.
[doi]  [Kurzfassung]  [BibTeX] 
A Robust, Fully Adaptive M-estimator for Pointwise Estimation in Heteroscedastic Regression.
2012.
Michael Chichignoud und Johannes Lederer.
[doi]  [BibTeX] 
Shape-constrained regularization by statistical multiresolution for inverse problems: asymptotic analysis.
Inverse Problems, 28(6):065006, 2012.
Klaus Frick, Philipp Marnitz und Axel Munk.
[doi]  [Kurzfassung]  [BibTeX] 
Statistical multiresolution Dantzig estimation in imaging: Fundamental concepts and algorithmic framework.
Electronic Journal of Statistics, 6:231-268, 2012.
Klaus Frick, Philipp Marnitz und Axel Munk.
[doi]  [BibTeX] 
Statistical Multiresolution Danzig Estimation in Imaging: Fundamental Concepts and Algorithmic Framework.
Electron.J.Stat., 6:231-268, 2012.
Klaus Frick, Philipp Marnitz und Axel Munk.
[doi]  [BibTeX] 
Statistical Multiresolution Estimation for Variational Imaging: With an Application in Poisson-Biophotonics.
Journal of Mathematical Imaging and Vision:1-18, 2012.
Klaus Frick, Philipp Marnitz und Axel Munk.
[doi]  [Kurzfassung]  [BibTeX] 
How Correlations Influence Lasso Prediction.
, 2012.
Mohamed Hebiri und Johannes C. Lederer.
[doi]  [BibTeX] 
Adaptive wavelet estimation of the diffusion coefficient under additive error measurements.
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 48(4):1186-1216, 2012.
M. Hoffmann, A. Munk und J. Schmidt-Hieber.
[doi]  [BibTeX] 
Locally adaptive image denoising by a statistical multiresolution criterion .
Computational Statistics & Data Analysis , 56(3):543 - 558, 2012.
Thomas Hotz, Philipp Marnitz, Rahel Stichtenoth, Laurie Davies, Zakhar Kabluchko und Axel Munk.
[doi]  [BibTeX] 
Causal Inference Using Graphical Models with the R Package pcalg.
Journal of Statistical Software, 47(11):1-26, 2012.
Markus Kalisch, Martin Mächler, Diego Colombo, Marloes H. Maathuis und Peter Bühlmann.
[doi]  [BibTeX] 
A Method of Moments Estimator of Tail Dependence in Meta-Elliptical Models.
Journal of Statistical Planning and Inference, 142(7):1811-1823, 2012.
Andrea Krajina.
[doi]  [BibTeX] 
Partial Least-Squares Functional Mode Analysis: Application to the Membrane Proteins AQP1, Aqy1, and CLC-ec1.
Biophysical Journal, 103(4):786 - 796, 2012.
Tatyana Krivobokova, Rodolfo Briones, Jochen Hub, Axel Munk und Bert de Groot.
[doi]  [BibTeX] 
Spatial adaptation in heteroscedastic regression: Propagation approach.
Electronic Journal of Statistics, 6:861-907, 2012.
Nora Serdyukova.
[doi]  [BibTeX] 
MissForest - non-parametric missing value imputation for mixed-type data..
Bioinformatics, 28(1):112-118, 2012.
Daniel J. Stekhoven und Peter Bühlmann.
[doi]  [BibTeX] 
Missing values: sparse inverse covariance estimation and an extension to sparse regression.
Stat. Comput., 22(1):219-235, 2012.
Nicolas Städler und Peter Bühlmann.
[doi]  [BibTeX] 
Which factors safeguard employment?: an analysis with misclassified German register data.
Journal of the Royal Statistical Society: Series A (Statistics in Society), 175(1):135-151, 2012.
Laura Wichert und Ralf A. Wilke.
[doi]  [Kurzfassung]  [BibTeX] 

2011

Controlling false positive selections in high-dimensional regression and causal inference.
Stat Methods Med Res, online first, 2011.
Peter Bühlmann, Philipp Rütimann und Markus Kalisch.
[doi]  [BibTeX] 
Approximation by Log-Concave Distributions with Applications to Regression.
Ann. Statist. , 39(2):702-730, 2011.
Lutz Dümbgen, Richard Samworth und Dominic Schuhmacher.
[doi]  [BibTeX] 
logcondens: Computations Related to Univariate Log-Concave Density Estimation.
J. Statist. Software, 39(6), 2011.
Lutz Dümbgen und Kaspar Rufibach.
[doi]  [BibTeX] 
An M-Estimator For Tail Dependence In Arbitrary Dimensions .
2011.
John H.J. Einmahl, Andrea Krajina und Johan Segers.
[doi]  [BibTeX] 
Estimating extreme bivariate quantile regions.
2011.
John H.J. Einmahl, Andrea Krajina und Laurens de Haan.
[doi]  [BibTeX] 
l_1-penalized linear mixed-effects models for high-dimensional data with application to BCI.
NeuroImage (to appear), 2011.
S. Fazli, M. Danóczy, J. Schelldorfer und K.-R. Müller.
[BibTeX] 
Morozov's principle for the augmented Lagrangian method applied to linear inverse problems.
Multiscale Model. Simul., 9(4):1528-1548, 2011.
Klaus Frick, Dirk A. Lorenz und Elena Resmerita.
[BibTeX] 
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs.
CoRR, abs/1104.2808, 2011.
Alain Hauser und Peter Bühlmann.
[doi]  [BibTeX] 
The Smooth-Lasso and other l1 + l2-penalized methods.
Electron. J. Statist. , 5:1184-1226, 2011.
Mohamed Hebiri und Sara van de Geer.
[doi]  [BibTeX] 
Non-parametric models in binary choice fixed effects panel data.
The Econometrics Journal, 14(3):351-367, 2011.
Stefan Hoderlein, Enno Mammen und Kyusang Yu.
[doi]  [Kurzfassung]  [BibTeX] 
Oracle-efficient Nonparametric Estimation Of An Additive Model With An Unknown Link Function.
Econometric Theory, 27:582-608, 2011.
Joel L. Horowitz und Enno Mammen.
[doi]  [BibTeX] 
Nonparametric Regression with Filtered Data.
Bernoulli, 17(1):60-87, 2011.
Oliver Linton, Enno Mammen, Jens Perch Nielsen und Ingrid van Keilegom.
[doi]  [BibTeX] 
Asymptotic optimality of the Westfall-Young permutation procedure for multiple testing under dependence.
Ann. Stat., 39(6):3369-3391, 2011.
Nicolai Meinshausen, Marloes H. Maathuis und Peter Bühlmann.
[doi]  [BibTeX] 
Distributional Results for Thresholding Estimators in High-Dimensional Gaussian Regression Models.
Electron. J. Stat., 5:1876-1934, 2011.
B.M. Poetscher und U. Schneider.
[doi]  [BibTeX] 
Caracterization Theorems for the Gneiting class of Space-time covariances.
Bernoulli , 17(1):456-465, 2011.
E. Porcu und V. Zastavnyi.
[doi]  [BibTeX] 
From Schoenberg to Pick-Nevanlinna: towards a complete picture of the variogram class.
Bernoulli , 17(1):441-455, 2011.
Emilio Porcu und Rene L. Schilling.
[doi]  [BibTeX] 
The Dagum and auxiliary covariance families: towards reconciling two-parameter models that separate fractal dimension and Hurst Effect.
Probabilistic Engineering Mechanics, 26(2):259-268, 2011.
Maria Dolores Ruiz-Medina, Emilio Porcu und Rosaura Fernandez-Pascual.
[doi]  [BibTeX] 
Estimation for High-Dimensional Linear Mixed-Effects Models Using l1-Penalization.
Scand. J. Stat. , 38:197-214, 2011.
Jürg Schelldorfer, Peter Bühlmann und Sara A. van de Geer.
[doi]  [BibTeX] 
Multivariate Log-Concave Distributions as a Nearly Parametric Model.
Statistics & Risk Modeling, 28(3):277-295, 2011.
Dominic Schuhmacher, André Hüsler und Lutz Dümbgen.
[doi]  [BibTeX] 
The adaptive and the thresholded Lasso for potentially misspecified models (and a lower bound for the Lasso).
Electron. J. Stat., 5:688-749, 2011.
Sara van de Geer, Peter Bühlmann und Shuheng Zhou.
[doi]  [BibTeX] 
The Bernstein-Orlicz norm and deviation inequalities.
2011.
Sara van de Geer und Johannes Lederer.
[doi]  [BibTeX] 
The Lasso, correlated design, and improved oracle inequalities.
2011.
Sara van de Geer und Johannes Lederer.
[doi]  [BibTeX] 
Which factors safeguard employment? An analysis with misclassified German register data..
J. R. Stat. Soc. Ser. A, Early View, 2011.
Laura Wichert und Ralf A. Wilke.
[doi]  [BibTeX] 
Analyzing the fine structure of continuous time stochastic processes.
Progr. Probab., 63(2):473-492, 2011.
Jeannette Woerner.
[doi]  [BibTeX] 
Semiparametric Regression: Efficiency Gains From Modeling the Nonparametric Part.
Bernoulli, 17(2):736-748, 2011.
Kyusang Yu, Enno Mammen und Byeong U. Park.
[doi]  [BibTeX] 
High-dimensional Covariance Estimation Based On Gaussian Graphical Models.
J. Mach. Learn. Res., 12:2975-3026, 2011.
Shuheng Zhou, Philipp Rütimann, Min Xu und Peter Bühlmann.
[doi]  [BibTeX] 

2010

Information theoretic model validation for clustering.
In: B. Aazhang und C. Georghiades (Herausgeber): Proceedings of the 2010 IEEE International Symposium on Information Theory, Seiten 1398-1403. 2010.
Joachim M. Buhmann.
[BibTeX] 
Boosting.
Wiley Interdisciplinary Reviews: Computational Statistics, 2(1):69-74, 2010.
Peter B√ľhlmann und Bin Yu.
[doi]  [BibTeX] 
Twin Boosting: improved feature selection and prediction.
Stat. Comput., 20:119-138, 2010.
Peter Bühlmann und Torsten Hothorn.
[BibTeX] 
Variable selection in high-dimensional linear models: partially faithful distributions and the PC-simple algorithm.
Biometrika , 97:261-278, 2010.
Peter Bühlmann, Markus Kalisch und Marloes Maathuis.
[BibTeX] 
Sharp minimax estimation of the variance of Brownian motion corrupted with Gaussian noise.
Statistica Sinica, 20:1011-1024, 2010.
T. Tony Cai, Axel Munk und Johannes Schmidt-Hieber.
[doi]  [BibTeX] 
Decomposition and Model Selection for Large Contingency Tables.
Biometrical Journal, 52(2):233-252, 2010.
Corinne Dahinden, Markus Kalisch und Peter Bühlmann.
[BibTeX] 
Mining Tissue Microarray Data to Uncover Combinations of Biomarker Expression Patterns that Improve Intermediate Staging and Grading of Clear Cell Renal Cell Cancer.
Clinincal Cancer Research, 16:88-98, 2010.
Corinne Dahinden, Barbara Ingold, Peter Wild, Gunther Boysen, Van-Duc Luu, Matteo Montani, Glen Kristiansen, Tullio Sulser, Peter Bühlmann, Holger Moch und Peter Schraml.
[BibTeX] 
Simple and Effective Boundary Correction for Kernel Densities and Regression with an Application to the World Income and Engel Curve Estimation.
Computational Statistics & Data Analysis, 54(11):2487-2497 , 2010.
Jing Dai und Stefan Sperlich.
[BibTeX] 
Factor Selection in Observational Studies - An Application of Nonlinear Factor Selection to Propensity Scores.
Studies in Classification, Data Analysis, and Knowledge Organization. 2010.
[BibTeX] 
Nemirovski's Inequalities Revisited.
American Mathematical Monthly, 117:138-160, 2010.
Lutz Dümbgen, Sara van de Geer, Mark C. Veraar und Jon A. Wellner.
[doi]  [BibTeX] 
New Insights on Unemployment Duration and Post Unemployment Earnings in Germany.
Oxford Bulletin of Economics and Statistics., 72(6):794-826, 2010.
Bernd Fitzenberger und Ralf A. Wilke.
[doi]  [BibTeX] 
Unemployment Durations in West-Germany Before and After the Reform of the Unemployment Compensation System during the 1980s.
German Economic Review, 11(3):336-366, 2010.
Bernd Fitzenberger und Ralf A. Wilke.
[doi]  [BibTeX] 
Regularization of ill-posed linear equations by the non-stationary Augmented Lagrangian method.
J. Integral Equations Appl., 22(2):217-257, 2010.
Klaus Frick und Otmar Scherzer.
[BibTeX] 
Protein and gene model inference based on statistical modeling in k-partite graphs.
Proc. natl. acad. sci. , 107:12101-12106, 2010.
Sarah Gerster, Ermir Qeli, Christian H. Ahrens und Peter Bühlmann.
[BibTeX] 
Bandwidth Selection Methods for Kernel Density Estimation - What is a reasonable choice?.
2010.
Nils-Bastian Heidenreich, Anja Schindler und Stefan Sperlich.
[doi]  [BibTeX] 
Nonparametric estimation of the volatility under microstructure noise: wavelet adaptation .
2010.
Marc Hoffmann, Axel Munk und Johannes Schmidt-Hieber.
[doi]  [BibTeX] 
Acceleration techniques for regularized Newton methods applied to electromagnetic inverse medium scattering problems.
Inverse Problems (published online)., 2010.
Thorsten Hohage und Stefan Langer.
[BibTeX] 
Model-based boosting 2.0..
Journal of Machine Learning Research, 11:2109-2113, 2010.
T. Hothorn, P. Bühlmann, T. Kneib, M. Schmid und B. Hofner.
[BibTeX] 
Möbius deconvolution on the hyperbolic plane with application to impedance density estimation.
Ann. Statist. , 38(4):2465-2498, 2010.
Stephan F. Huckemann, Peter T. Kim, Ja-Yong Koo und Axel Munk.
[BibTeX] 
Understanding human functioning using graphical models.
BMC Medical Research Methodology, 10(14), 2010.
Markus Kalisch, Bernd A. G. Fellinghauer, Eva Grill, Marloes H Maathuis, Ulrich Mansmann, Peter Bühlmann und Gerold Stucki.
[BibTeX] 
Empirical risk minimization in inverse problems.
Ann. Stat., 38(1):482-511, 2010.
Jussi Klemelä und Enno Mammen.
[BibTeX] 
Simultaneous Confidence Bands for Penalized Spline Estimators.
Journal of the American Statistical Association, 105(490):852-863, 2010.
Tatyana Krivobokova, Thomas Kneib und Gerda Claeskens.
[doi]  [BibTeX] 
Backfitting and smooth backfitting for additive quantile models.
Ann. Statist., 38(5):2857-2883, 2010.
Young Kyung Lee, Enno Mammen und Byeong U. Park.
[doi]  [BibTeX] 
Predicting causal effects in large-scale systems from observational data..
Nature Methods, 7:247-248, 2010.
Marloes H Maathuis, Diego Colombo, Markus Kalisch und Peter Bühlmann.
[BibTeX] 
Backfitting Tests in Additive Interaction Models.
2010.
Enno Mammen und Stefan Sperlich.
[doi]  [BibTeX] 
Do-validation for Kernel Density Estimation.
JASA (to appear), 2010.
Enno Mammen, Maria Dolores Martinez Miranda, Jens Perch Nielsen und Stefan Sperlich.
[doi]  [BibTeX] 
Generalised Linear Time Series Regression.
2010.
Enno Mammen, Jens Perch Nielsen und Bernd Fitzenberger.
[doi]  [BibTeX] 
Stability Selection.
Journal of the Royal Statistical Society, Series B, 72:417-473, 2010.
Nicolai Meinshausen und Peter Bühlmann.
[BibTeX] 
Lower bounds for volatility estimation in microstructure noise models.
In: Borrowing Strength: Theory Powering Applications - A Festschrift for Lawrence D. Brown, Seiten 43-55. 2010.
Axel Munk und Johannes Schmidt-Hieber.
[doi]  [BibTeX] 
Nonparametric Estimation of the Volatility Function in a High-Frequency Model corrupted by Noise.
Electronic Journal of Statistics, 4:781-821, 2010.
Axel Munk und Johannes Schmidt-Hieber.
[BibTeX] 
Semiparametric Indirect Utility and Consumer Demand.
Computational Statistics & Data Analysis, 54(11):2763-2775 , 2010.
Krishna Pendakur, Michael Scholz und Stefan Sperlich.
[BibTeX] 
Feasible estimation in generalized structured models.
Stat. Comput., 20(3):367-379, 2010.
Javier Roca-Perdiñas und Stefan Sperlich.
[BibTeX] 
Covariance Models for Random Vector Fields.
2010.
Michael Scheuerer und Martin Schlather.
[doi]  [BibTeX] 
Some covariance models based on normal scale mixtures.
Bernoulli, 16(3):780-797, 2010.
M. Schlather.
[BibTeX] 
Consistency of Multivariate Log-Concave Density Estimators.
Statist. Prob. Letters, 80(5-6):376-380, 2010.
Dominic Schuhmacher und Lutz Dümbgen.
[BibTeX] 
Local Polynomial Inference for Small Area Statistics: Estimation, Validation and Prediction.
Journal of Nonparametric Statistics, 22(5):633-648, 2010.
Stefan Sperlich und Maria Jose Lombardia.
[BibTeX] 
l1-Penalization for Mixture Regression Models (with discussion).
TEST , 19(2):209-285, 2010.
Nicolas Städler, Peter Bühlmann und Sara van de Geer.
[BibTeX] 
Prediction and variable selection with the adaptive Lasso.
2010.
Sara van de Geer, Peter Bühlmann und Shuheng Zhou.
[doi]  [BibTeX] 
The Lasso with within group structure.
In: Nonparametrics and Robustness in Modern Statistical Inference and Time Series Analysis: A Festschrift in honor of Professor Jana Jurečková, Seiten 235-244. 2010.
Sara van de Geer.
[BibTeX] 
Thresholded Lasso for high dimensional variable selection and statistical estimation.
2010.
Shuheng Zhou.
[doi]  [BibTeX] 

2009

Splines for financial volatility.
Journal of the Royal Statistical Society: Series B, 71:655-670, 2009.
F. Audrino und P. Bühlmann.
[BibTeX] 
The likelihood ratio test for non-standard hypotheses near the boundary of the null - with application to the assessment of non-inferiority.
Statistics & Decisions, 27:75-92, 2009.
Fadoua Balabdaoui, Matthias Mielke und Axel Munk.
[BibTeX] 
Bipower variation for Gaussian processes with stationary increments.
J. Appl. Probab., 46(1):132-150, 2009.
Ole E. Barndorff-Nielsen, José Manuel Corcuera, Mark Podolskij und Jeannette H. C. Woerner.
[BibTeX] 
Iteratively regularized Gauss-Newton method for nonlinear inverse problems with random noise.
SIAM J. Numer. Anal., 47(3):1827-1846, 2009.
Frank Bauer, Thorsten Hohage und Axel Munk.
[BibTeX] 
Least Squares and Shrinkage Estimation under Bimonotonicity Constraints.
Statist. Comp., 20(2):177-189, 2009.
Rudolf Beran und Lutz Dümbgen.
[BibTeX] 
Convergence analysis of generalized iteratively reweighted least squares algorithms on convex function spaces.
SIAM J. Optim., 19(4):1828-1845, 2009.
Nicolai Bissantz, Lutz Dümbgen, Axel Munk und Bernd Stratmann.
[BibTeX] 
Testing for Lack of Fit in Inverse Regression - With Applications to Photonic Imaging.
J. Royal Statistic. Soc. Ser. B, 71:25-48, 2009.
Nicolai Bissantz, Gerda Claeskens, Hajo Holzmann und Axel Munk.
[BibTeX] 
Jump estimation in inverse regression.
Elect. J. Statist., 3:1322-1359, 2009.
Leif Boysen, Sophie Bruns und Axel Munk.
[BibTeX] 
Discovery of TNF inhibitors from a DNA-encoded chemical library based on Diels-Alder cycloaddition.
Chemistry & Biology, 16:1075-1086, 2009.
F. Buller, Y. Zhang, J. Scheuermann, J. Schäfer, P. Bühlmann und D. Neri.
[BibTeX] 
Structure identification by optimized interventions.
In: D. van Dyk und M. Welling (Herausgeber): Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIS- TATS), Seiten 57-64. 2009.
A.G. Busetto und Joachim M. Buhmann.
[BibTeX] 
Efficient Semiparametric Marginal Estimation for the Partially Linear Additive Model for Longitudinal/Clustered Data.
Stat. Biosci., 1(1):10-31, 2009.
Raymond J. Carroll, Arnab Maity, Enno Mammen und Kyusang Yu.
[BibTeX] 
Nonparametric additive regression for repeatedly measured data.
Biometrika, 96(2):383-398, 2009.
Raymond J. Carroll, Arnab Maity, Enno Mammen und Kyusang Yu.
[BibTeX] 
Proteome coverage prediction with infinite Markov models.
Bioinformatics, 25(12):154-160, 2009.
Manfred Claassen, Ruedi Aebersold und Joachim M. Buhmann.
[BibTeX] 
Asymptotic properties of penalized spline estimators.
Biometrika, 96(3):529-544, 2009.
Gerda Claeskens, Tatyana Krivobokova und Jean D. Opsomer.
[BibTeX] 
Convergence of Certain Functionals of Integral Fractional Processes.
J. Theor. Probab., 22(4):856-870, 2009.
José Manuel Corcuera, David Nualart und Jeannette H. C. Woerner.
[BibTeX] 
Fixing the leak: Unemployment incidence before and after the 2006 reform of unemployment benefits in Germany.
2009.
Stephan Dlugosz, Gesine Stephan und Ralf A. Wilke.
[doi]  [BibTeX] 
The Value of the Last Digit - Statistical Fraud Detection with Digit Analysis.
Advances in Data Analysis and Classification, 3:281-290, 2009.
Stephan Dlugosz und Ulrich Müller-Funk.
[BibTeX] 
Extensions of smoothing via taut strings.
Electron. J. Stat., 3:41-75, 2009.
Lutz Dümbgen und Arne Kovac.
[BibTeX] 
Maximum likelihood estimation of a log-concave density and its distribution function: basic properties and uniform consistency.
Bernoulli, 15(1):40-68, 2009.
Lutz Dümbgen und Kaspar Rufibach.
[BibTeX] 
Locally adaptive image denoising by a statistical multiresolution criterion.
2009.
Thomas Hotz, Philipp Marnitz, Rahel Stichtenoth, Laurie Davies, Zakhar Kabluchko und Axel Munk.
[doi]  [BibTeX] 
Limiting distribution of the continuity modulus for Gaussian processes with stationary increments.
Statist. Propab. Lett., 79(7):953-956, 2009.
Zakhar Kabluchko.
[BibTeX] 
Scan statistics of Lévy noises and marked empirical processes.
Adv. in Appl. Probab., 41(1):13-37, 2009.
Zakhar Kabluchko und Evgeny Spodarev.
[BibTeX] 
Some asymptotic results on generalized penalized spline smoothing.
Journal of the Royal Statistical Society: Series B, 71(2):487-503, 2009.
Göran Kauermann, Tatyana Krivobokova und Ludwig Fahrmeir.
[BibTeX] 
Taking Advantage of Sparsity in Multi-Task Learning.
In: Proceedings of the 22nd Conference on Information Theory, Seiten 73-82. 2009.
Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov und Sara van de Geer.
[doi]  [BibTeX] 
Estimating high-dimensional intervention effects from observational data.
Ann. Statist, 37(6A):3133-3164, 2009.
Marloes H. Maathuis, Markus Kalisch und Peter Bühlmann.
[BibTeX] 
Testing in semiparametric models with interaction, with applications to gene-environment interactions.
Journal Of The Royal Statistical Society Series B, 71(1):75-96, 2009.
Arnab Maity, Raymond J. Carroll, Enno Mammen und Nilanjan Chatterjee.
[BibTeX] 
Nonparametric estimation of noisy integral equations of the second kind.
J. Korean Statist. Soc., 38(2):99-110, 2009.
Enno Mammen und Kyusang Yu.
[BibTeX] 
One Sided Cross Validation for Density Estimation.
In: Operational Risk Towards Basel III: Best Practices and Issues in Modeling, Management and Regulation, New Jersey, Seiten 177-196. 2009.
Maria Dolores Martinez Miranda, Jens Perch Nielsen und Stefan Sperlich.
[BibTeX] 
High-Dimensional Additive Modeling.
Ann. Statist., 37(6B):3779-3821, 2009.
Lukas Meier, Sara van de Geer und Peter Bühlmann.
[BibTeX] 
p-Values for High-Dimensional Regression.
Journal of the American Statistical Association, 104(488):1671-1681, 2009.
Nicolai Meinshausen, Lukas Meier und Peter Bühlmann.
[BibTeX] 
Semiparametric estimation of consumer demand systems in real expenditure.
J. Appl. Econ., 25:420-457, 2009.
Krishna Pendakur und Stefan Sperlich.
[BibTeX] 
A note on structural adaptive dimension reduction.
Journal of Statistical Computation and Simulation, 79(6):805-818, 2009.
Jörg Polzehl und Stefan Sperlich.
[BibTeX] 
High dimensional sparse covariance estimation via directed acyclic graphs.
Electron. J. Statist., 3:1133-1160, 2009.
Philipp Rütimann und Peter Bühlmann.
[BibTeX] 
A note on non-parametric estimation with predicted variables.
The Econometrics Journal, 12:382-395, 2009.
Stefan Sperlich.
[BibTeX] 
Comments on: A review on empirical likelihood methods for regression.
TEST, 18(3):448-451, 2009.
Stefan Sperlich.
[BibTeX] 
Invariant Coordinate Selection (with discussion).
J. Royal Statist. Soc. B, 71(3):549-592, 2009.
David E. Tyler, Frank Critchley, Lutz Dümbgen und Hannu Oja.
[BibTeX] 
On the conditions used to prove oracle results for the Lasso.
Electron. J. Statist., 3:1360-1392, 2009.
Sara A. van de Geer und Peter Bühlmann.
[BibTeX] 
A Statistical Framework for Differential Privacy.
JASA, 105(489):375-389, 2009.
Larry Wasserman und Shuheng Zhou.
[BibTeX] 
Restricted Eigenvalue Conditions on Subgaussian Random Matrices.
2009.
Shuheng Zhou.
[doi]  [BibTeX] 
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation.
In: Advances in Neural Information Processing Systems, Band 22, Seiten 2304-2312. 2009.
Shuheng Zhou.
[doi]  [BibTeX] 

2008

A statistical stopping rule for MLEM reconstructions in PET.
Band 8. 2008.
[doi]  [BibTeX] 
Nonparametric Regression on Latent Covariates with an Application to Semiparametric GARCH-in-Mean Models.
2008.
Christian Conrad und Enno Mammen.
[doi]  [BibTeX] 
Multiscale inference about a density.
Ann. Statist., 36:1758-1785, 2008.
Lutz Dümbgen und Günther Walther.
[BibTeX] 
P-values for classification.
Electron. J. Stat., 2:468-493, 2008.
Lutz Dümbgen, Bernd-Wolfgang Igl und Axel Munk.
[BibTeX] 
Union Density and Varieties of Coverage: The Anatomy of Union Wage Effects in Germany.
2008.
Bernd Fitzenberger, Karsten Kohn und Alexander C. Lembcke.
[doi]  [BibTeX] 
Exact convergence rate for the maximum of standardized Gaussian increments.
Electron. Commun. Probab., 13:302-310, 2008.
Zakhar Kabluchko und Axel Munk.
[doi]  [BibTeX] 
Shao's theorem on the maximum of standardized random walk increments for multidimensional arrays.
ESAIM Prob. Stat., 13:409-416, 2008.
Zakhar Kabluchko und Axel Munk.
[BibTeX] 
Robustification of the PC-Algorithm for Directed Acyclic Graphs.
Journal Of Computational And Graphical Statistics, 17(4):773-789, 2008.
Markus Kalisch und Peter Bühlmann.
[BibTeX] 
Self-consistent residual dipolar coupling based model-free analysis for the robust determination of nanosecond to microsecond protein dynamics.
Journal of Biomolecular NMR, 41:139-155, 2008.
Nils-Alexander Lakomek, Korvin F. A. Walter, Christophe Farès, Oliver F. Lange, Bert L. de Groot, Helmut Grubmüller, Rafael Brüschweiler, Axel Munk, Stefan Becker, Jens Meiler und Christian Griesinger.
[BibTeX] 
Estimation of a Semiparametric Transformation Model.
Ann. Statist., 36(2):686-718, 2008.
Oliver Linton, Stefan Sperlich und Ingrid Van Keilegom.
[BibTeX] 
Semiparametric inference in generalized mixed effects models.
Journal of the Royal Statistical Society: Series B, 70(5):913-930, 2008.
Maria Jose Lombardia und Stefan Sperlich.
[BibTeX] 
Robustified L2 boosting..
Computational Statistics & Data Analysis, 52(7):3331-3341, 2008.
Roman Werner Lutz, Markus Kalisch und Peter Bühlmann.
[BibTeX] 
The group lasso for logistic regression.
Journal of the Royal Statistical Society. Series B, 70(1):53-71, 2008.
Lukas Meier, Sara van de Geer und Peter Bühlmann.
[BibTeX] 
General oracle inequalities for model selection.
Electron. J. Statist., 3:176-204, 2008.
Charles Mitchell und Sara van de Geer.
[BibTeX] 
Analyzing Semiparametrically Trends in the Gender Pay Gap - The Case of Spain.
2008.
Ignacio Moral-Arce, Stefan Sperlich, Ana I. Fernandez-Sainz und Maria J. Roca.
[doi]  [BibTeX] 
Feasible Semiparametric Estimation of Censored Expenditure Equations.
2008.
Ignacio Moral-Arce, Juan M. Rodriguez-Poo und Stefan Sperlich.
[doi]  [BibTeX] 
Benford Analyse - Einfachheit oder Schlichtheit?.
In: J. vom Brocke, J. Becker: Einfachheit in Wirtschaftsinformatik und Controlling, München. 2008.
Ulrich Müller-Funk und Stephan Dlugosz.
[BibTeX]