Papers
Overlapping clustering with statistical guarantees (2017); Preprint; F. Bunea, N. Yang, M. Wegkamp.

PECOK: a convex optimization approach to variable clustering (2016); Preprint;, https://arxiv.org/pdf/1606.05100v1.pdf, F.Bunea, C. Giraud, M. Royer and N. Verzellen.

Minimax Optimal Variable Clustering in G-models via Cord (2016); Old title: Community estimation in G-models via CORD, 2015, Submitted, , http://arxiv.org/abs/1508.01939, F.Bunea, C. Giraud and X. Luo.

Convex banding of the covariance matrix, 2015, To appear in the Journal of American Statistical Association, http://arxiv.org/abs/1405.6210, J. Bien, F. Bunea and L. Xiao

ENCAPP: elastic-net based prognosis prediction and biomarker discovery for human cancers, 2015, BMC Genomics, Vol.16 J. Das, K.M. Gayvert, F. Bunea, M. Wegkamp and H. Yu.

On the sample covariance matrix estimator of reduced effective rank population matrices, with applications to fPCA, 2015, Vol. 21, 1200-1230, Bernoulli http://arxiv.org/abs/1212.5321, F. Bunea and L. Xiao.

On the theoretical and practical merits of the banding estimator for large covariance matrices, 2014, To appear EJS, http://arxiv.org/abs/1402.0844, L. Xiao and F. Bunea.

The square root group lasso: theoretical properties and fast algorithms, 2014, IEEE-Information Theory, Vol. 60, 1313-1325, http://arxiv.org/abs/1302.0261 F. Bunea, J. Lederer and Y. She; For Matlab Code, see http://stat.fsu.edu/~yshe/code/g-sqrtlasso.zip

From Probability to Statistics and Back: High-Dimensional Models and Processes. A Festschrift in Honor of Jon Wellner; IMS Collections, Volume 9, 2012, Banerjee, M., Bunea, F., Huang, J., Koltchinskii, V and Maathuis, M. H., Editors.

Joint variable and rank selection for parsimonious estimation of high dimensional matrices, 2012, The Annals of Statistics, Vol. 40, 2359-2388 , http://arxiv.org/abs/1110.3556, (F. Bunea, Y. She and M. Wegkamp)

Optimal selection of reduced rank estimators of high-dimensional matrices,, 2011, The Annals of Statistics, Vol. 39, 1282 - 1309, (F. Bunea, Y. She and M. Wegkamp); For Matlab Code, see http://stat.fsu.edu/~yshe/code/rsc.zip

Penalized least squares regression methods and their applications to neuroimaging, 2011, NeuroImage, Vol. 55, 1519 - 1527 ( F. Bunea, Y. She, H. Ombao et al.)

Adaptive inference for the mean of a Gaussian process in functional data, 2011, J.R.Statist. Soc. B, Vol. 73 (4), 531 - 558 (F. Bunea, A. Ivanescu and M. Wegkamp)

Spades and Mixture Models, 2010, The Annals of Statistics, Vol. 38, No. 4, 2525 - 2558 (F. Bunea, M. Wegkamp, A. Tsybakov and A. Barbu)

Dimension reduction and variable selection in case-control studies via regularized likelihood optimization, 2009, Electronic Journal of Statistics, Vol.3, 1257 - 1287. (F. Bunea and A. Barbu)

Honest variable selection in linear and logistic regression models via $\ell_1$ and $\ell_1 + \ell_2$ penalization , 2008, The Electronic Journal of Statistics , Vol. 2, Pages: 1153-1194 (F. Bunea)

Sequential Procedures for Aggregating Arbitrary Estimators of a Conditional Mean , 2008, IEEE Transactions in Information Theory , Vol. 54, No. 4, 1725 - 1735. (F. Bunea and A. Nobel).

Consistent selection via the Lasso for high dimensional approximating regression models , 2008, IMS Collections, B. Clarke and S. Ghosal Editors; Vol 3, 122 - 138. (F. Bunea)

Aggregation for Gaussian Regression , 2007, Annals of Statistics , 35 (4), 1674 - 1697. (F. Bunea, M. Wegkamp and A. Tsybakov).

Sparse density estimation with l1 penalties , 2007, Lecture Notes in Artificial Intelligence (COLT 2007), Springer, 530 - 544. (F. Bunea, A. Tsybakov and M. Wegkamp)

Sparsity oracle inequalities for the lasso , 2007, The Electronic Journal of Statistics, 169 - 194. (F. Bunea, A. Tsybakov and M. Wegkamp ).

Aggregation and Sparsity via l1 Penalized Least Squares , 2006, Lecture Notes in Artificial Intelligence (COLT 2006), Springer, 379 - 391. (F. Bunea, A. Tsybakov and M. Wegkamp).

Consistent variable selection in high dimensional regression via multiple testing, 2006, J. Stat. Planning and Inference, Elsevier, Vol 136, pp 4349-4364 (F. Bunea, M. Wegkamp and A. Auguste) .

Minimax Adaptive Spectral Estimation from an Ensemble of Signals, 2006, IEEE Transactions on Signal Processing, Vol. 54, pp. 2865 - 2874. (F. Bunea, H. Ombao and A. Auguste).

Covariate Selection for Semiparametric Hazard Function Regression Models, 2005, Journal of Multivariate Analysis, Vol. 92, 186-204 (F. Bunea and I. McKeague).

Function Classification in Hilbert Spaces, 2004, IEEE Transactions in Information Theory, Vol 51, No. 6, 2163 - 2172. ( G. Biau, F. Bunea and M. Wegkamp)

Consistent Covariate Selection and Post Model Selection Inference in Semiparametric Regression, 2004, Annals of Statistics, Vol. 32, No. 3, 898-927 (F. Bunea).

Two-Stage Model Selection Procedures in Partially Linear Regression, 2004, The Canadian Journal of Statistics, Vol. 32, No 2, pp. 105-118 (F. Bunea and M. Wegkamp).

A Note on Penalized Minimum Distance Estimation in Nonparametric Regression, 2003 The Canadian Journal of Statistics, 2003, Vol. 31, No 3, pp. 267-274 (F. bunea and M. Wegkamp).

A Model Selection Approach to Semiparametric Regression, 2000, Ph.D. thesis, University of Washington  .

MCMC in I X J X K Contingency Tables, 2000, Fields Institute Communications, 26, AMS, Providence, Rhode Island (F. Bunea and Julian Besag) .

Geometrical restrictions in self deconvolution (1995),  The Annals of Mathematics, University of Bucharest, Mathematics and Informatics Series, 44, 41-50, (F. Bunea).