Publications / Preprints / Talks

Journal Preprints

Journal Publications

2024

 

2023

  • Costa M. & Huang L. & Gadat S. CV@R penalized portfolio optimization with biased stochastic mirror descent(2022). Finance and Stochastics,  to appear.
  • Rey-Barroso J. & Munaretto A. & Rouquié N. & Mougel A. & Chassan M. & Gadat S & Frause F. & Dewingle O. & Cadot S. & Quillet-Mary A & Ysebaert L. & Dupré L. Multifaceted modulation of motility properties in leukemic and non-leukemic lymphocytes upon ibrutinib treatment of chronic lymphocytic leukemia. (2022). Haematologica.

2022

2021

2020

2019

2018

2017

  • Ysebaert L., Cadot S., Kanoun S., Ken S., Recher C., Malgouyres F., Gadat S., Dupre L. and  Quillet Mary A.. Computational Integration to Model Tumor Dynamics in CLL Patients Treated with the Btk Inhibitor Ibrutinib (CompuTreatCLL): First Results of an Integrative Systems Biology Approach. (2017)

2016

2015

2014

2013

2012

2010

2009

2008

2007

Unpublished manuscripts

 Some Slides:

Rapports Techniques

  • J.M. Azaïs and S. Gadat. Automatisation de l’estimation par valeurs extremes pour la mesure d’integrite. Technical report, Institut de Mathematiques de Toulouse, 2011.
  • J.M. Azaïs, S. Gadat, A. Lagnoux, and C. Mercadier. Algorithmes de splitting pour la mesure d’integrite. Technical report, Institut de Mathematiques de Toulouse, Institut Camille Jordan Lyon I, 2010.
  • J.M. Azaïs, S. Gadat, and C. Mercadier. etude de la mesure d’integrite par la methode des valeurs extrêmes. Technical report, Institut de Mathematiques de Toulouse, Institut Camille Jordan Lyon I, 2009.

 

Some recent Conferences  / Seminars:

  • Statistics Seminar Lille  (June 2015): Regret of Narendra Shapiro bandit algorithms
  • Statistics Seminar Oxford (April 2015): Regret of Narendra Shapiro bandit algorithms
  • Statistics Seminar TSE (April 2015): Regret of Narendra Shapiro bandit algorithms
  •  February 2014: Seminar of the CPTP: Some insights on interdiscipilnary research between statisticians and biologists
  • November 2013: Mad Seminar – K nearest neighbour classification in general finite dimensional space.
  • S. Gadat and D. Bontemps. Shape invariant model, a bayesian point of view. In Workshop of Bayes Non Parametric, 2013, Paris, France, September 2013
  • Statistic seminar, Orsay  Mai 2013: Shape invariant model, a bayesian point of view
  • S. Gadat. Bayesian consitency for deformable models in image processing. In Proceedings of the 3th Annual Conference of Mathematiques pour l’Image, Orleans, France, June 2012.
  • Statistics Seminar TSE (April 2012): Bayesian estimation in deformable inverse problems
  • BIA Statistics seminar ( March 2011): Adaptive optimal design and model selection
  • J.M. Azaïs, D. Debailleux, S. Gadat, and N. Suard. Assessment of an ionosphere storm occurrence risk. In roceedings of the 2011 Conference ENC GNSS , London, England, November 2011.
  • J.M. Azaïs, S. Gadat, and N. Suard. Ionosphere severe storms and occurrence risk estimation. In Proceedings of the 7th Conference Extreme Value Analysis, Probabilistic and Statistical Models and their Applications, Lyon, France, June 2011
  • Montpellier Statistics Seminar (October 2010): Bayesian estimation in deformable inverse problems
  • J.M. Azaïs, S. Gadat, C. Mercadier, and N. Suard. Gnss integrity achievement by using extreme value theory. In Proceedings of the 2009 Conference ION GNSS , San diego, USA, July 2009.
  • N. Villa, T. Dkaki, S. Gadat, J.M. Inglebert, and Q.D. Truong. Recherche et representation de communautes dans des grands graphes. In Proceedings of VSST 2009, Nancy, France, 2009.
  • S. Gadat. Markov hybrid process for variable selection in classication. In Proceedings of the 47th Conference on Decision and Control, Cancun, Mexico, December 2008.
  • K.A. Lê Cao, S. Gadat, P. Besse, and O. Goncalves. Application of a stochastic algorithm for gene selection. In 5th Workshop of Statistical methods for post-genomic data, 2007 , Paris, France, 2007.
  • S. Gadat, O. Gonalves, and K.A. Lê Cao. Gene selection with a stochastic algorithm for multiclass classification. In Proceedings of the 20th Annual Conference Proceedings of the 47th Conference Statistics for Data Mining, Learning and Knowledge Extraction, Aveiro, Portugal, August 2007.
  • S. Gadat. Extraction of attributes for visual object recognition and dna microarray analysis. In IEEE Workshop on Statistical Signal Processing, Bordeaux,. 2005 , Bordeaux, France, July 2005.
  • S. Gadat. Selection de variables pour la reconnaissance de formes. In GRETSI’05 On Image and Signal treatment, 2005, Louvain-La-Neuve, Belgique, September 2005.
  • S. Gadat. Reflected jump-diffusion for genes selection and classication of micro-array data. In Workshop on Statistical Analysis of Postgenomic Data, 2005 , Paris, France, April 2005
Chapter in Books
  • J. Bigot and S. Gadat. Chapter : Pattern recognition through large deformations of images, in book Pattern Recognition. Intech, 2010.
  • S. Gadat. Chapter : Feature Selection in high dimension for face Detection, in book Advances in Face Image Analysis . Techniques and Technologies, IGI – Global, 2009.