Dominique Picard
Université Paris VII, Laboratoire Probabilités et Modèles Aléatoires
IMI Preprints
- Regularity of Gaussian Processes on Dirichlet Spaces (2015)
- Decomposition of Triebel-Lizorkin and Besov spaces in the context of Laguerre expansions (2008)
- Inversion of noisy Radon transform by SVD based needlets (2008)
- NEED-VD: a second-generation wavelet algorithm for estimation in inverse problems (2006)
- Some inequalities for the tensor product of greedy bases and weight-greedy bases (2005)
- On mathematical methods of learning (2004)
- Mathematical methods for supervised learning (2004)
- Maximal spaces with given rate of convergence for thresholding algorithms (1999)
IMI Seminars
- Clustering high dimensional data with sparsity (2018)
- Large data based algorithms for predicting the electric consumption (2016)
- Thomas Bayes' walk on Manifold (2013)
- Grouping strategies for denoising (2012)
- Needlet construction and geometric statistical rates (2011)
- Thresholding and Learning Theory (2008)
- Wavelet Thresholding and Bayesian procedures in non parametric statistical estimation (2003)
