1. "A remark about a learning risk lower bound" M.F. Leung, Y.Q. Lin and N. Wicker (Submitted)
  2. "A random model for multidimensional fitting method" H. Alawieh, F. Bertrand, M. Maumy-Bertrand, N. Wicker and B. Al Ayoubi (Submitted)
  3. "Consolidation kernel" A. El Dakdouki, Y. Guermeur and N. Wicker (Submitted)
  4. "KBER: A Kernel Bandwidth Estimate Using the Ricci Curvature" A. Eid and N. Wicker Communications in Statistics - Theory and Methods 2021, 1-13.
  5. "Convergence details about k-DPP Monte-Carlo sampling for large graphs" D. Wehbe and N. Wicker Sankhya B (in press)
  6. "Fixed-Size Determinantal Point Processes Sampling For Species Phylogeny" D. Wehbe, N. Wicker, B. Al Ayoubi and L. Moulinier MathematicS in Action 2021, 10(1), 1-13.
  7. "Projection under pairwise distance control" H. Alawieh, N. Wicker and C. Biernacki. Communications in Statistics - Theory and Methods 2020, 1-29.
  8. "Fast approximate complete-data k-nearest-neighbor estimation" A. Murua and N. Wicker Austrian Journal of Statistics 2020, 49(2): 18-30.
  9. "A Metropolis-Hastings sampling of subtrees in graphs" A. Eid, H. Mamitsuka and N. Wicker Austrian Journal of Statistics 2019, 48(5): 17-33.
  10. "A p-Laplacian random walk: application to video games" N. Wicker, H.C. Nguyen and H. Mamitsuka Austrian Journal of Statistics 2019, 48(5): 11-16.
  11. "Mice and cages experimental design" N. Wicker. Case Studies in Business, Industry and Government Statistics 2018, 7(1): 26-32.
  12. "A note on inverse stereographic projection of elliptical distributions" J.-L. Dortet-Bernadet and N. Wicker. Sankhya A 2018, 80(1): 138-151.
  13. "Penalized multidimensional fitting for protein movement detection" H. Alawieh, N. Wicker, B. Al-Ayoubi and L. Moulinier. Journal of Applied Statistics 2017, 44(15): 2697-2715.
  14. "Some properties of a graph dissimilarity measure for labeled graphs" N. Wicker, H.C. Nguyen and H. Mamitsuka. Publications Mathématiques de Besançon 2016, 85-94.
  15. "Kernel-based mixture models for classification" A. Murua and N. Wicker. Computational Statistics 2015, 30: 317-344.
  16. "Selecting Graph Cut Solutions via Global Graph Similarity" H.C. Nguyen, N. Wicker and H. Mamitsuka. IEEE Transactions on Neural Networks and Learning Systems 2014, 25(7): 1407-1412.
  17. "A conditional-Potts clustering model based on informative prior and MAP estimators" A. Murua and N. Wicker. Journal of Computational and Graphical Statistics 2014, 23(3): 717-739.
  18. "A new dissimilarity measure for comparing labeled graphs" N. Wicker, H.C. Nguyen and H. Mamitsuka. Linear Algebra and its Applications 2013, 438(5): 2331-2338.
  19. "KD4v: comprehensible knowledge discovery system for missense variant" T-D. Luu, A. Rusu, V. Walter, B. Linard, L. Poidevin, R. Ripp, L. Moulinier, J. Muller, W. Raffelsberger, N. Wicker, O. Lecompte, J.D. Thompson, O. Poch and H. Nguyen Nucleic Acids Research, 2012, 40.
  20. "Identifying neighborhoods of coordinated gene expression and metabolite profiles" T. Hancock, N. Wicker, I. Takigawa and H. Mamitsuka. PLoS ONE 7(2): e31345.
  21. "Perfect sampling on 2x...x2xK contingency tables with an application to SAGE data" D. Kieffer, L. Bianchetti, O. Poch and N. Wicker. Journal of Statistical Planning and Inference 2012, 142: 896-901.
  22. "e-conome: an automated tissue counting platform of cone photoreceptors for rodent models of retinitis pigmentosa" E. Clérin, N. Wicker, S. Mohand-Saïd, O. Poch, J.A. Sahel and T. Léveillard. BMC Ophthalmology 2011, 11:38.
  23. "A note on ball segment picking related to clustering" N. Wicker. Pattern Recognition Letters 2011, 32: 651-655.
  24. "Multidimensional fitting for data analysis." C. Berge, N. Froloff, R.K.R. Kalathur, M. Maumy, O. Poch, W. Raffelsberger and N. Wicker. Journal of Computational Biology 2010, 17(5): 723-732.
  25. "A new projection method for biological semantic map generation" H.N. Nguyen(*), N. Wicker(*), D. Kieffer and O. Poch. Journal of Biomedical Science and Engineering 2010, 3(1): 13-19.
  26. "Perfect sampling algorithm for small m x n contingency tables" N. Wicker. Statistics and Computing 2010, 20(1): 57-61.
  27. "Evidence for various 20q status using allelotyping, CGH arrays, and quantitative PCR in distal CIN colon cancers" C. Nicolet, E. Guérin, A. Neuville, J-P. Kerckaert, N. Wicker, E. Bergmann, C. Brigand, M. Kédinger, M-P. Gaub and D. Guenot. Cancer letters 2009, 282(2): 195-204.
  28. "A Maximum Likelihood Approximation Method for Dirichlet's Parameter Estimation." N. Wicker, J. Muller, R.K.R. Kalathur and O. Poch. Computational Statistics and Data Analysis 2008, 52(3):1315-1322.
  29. "Model-based clustering on the unit sphere with an illustration using gene expression profiles." J.L. Dortet-Bernadet and N. Wicker. Biostatistics 2008, 9:66-80.
  30. "A new look towards BAC-based array CGH through a comprehensive comparison with oligo-based array CGH." N. Wicker(*), A. Carles(*), I.G. Mills, M. Wolf, A. Veerakumarasivam, H. Edgren, F. Boileau, B. Wasylyk, J.A. Schalken, D.E. Neal, O. Kallioniemi and O. Poch. BMC Genomics 2007,8(1):84.
  31. "Minimal enclosing parallelepiped in 3D." F. Vivien and N. Wicker. Computational Geometry : Theory and Applications. 2004, Vol 29(3):177-190.
  32. "PipeAlign : a new toolkit for protein family analysis." F. Plewniak, L. Bianchetti, Y. Brelivet, A. Carles, F. Chalmel, O. Lecompte, T. Mochel, L. Moulinier, A. Muller, J. Muller, V. Prigent, R. Ripp, J.C. Thierry, J.D. Thompson, N. Wicker and O. Poch. Nucleic Acids Research. 2003 Jul 1;31(13):3829-32.
  33. "Un algorithme de generation de coupes pour le probleme de l'affectation quadratique." A. Blanchard, S. Elloumi, A. Faye et N. Wicker. Information Systems and Operational Research (INFOR)2003, 41(1): 35-49.
  34. "Density of points clustering, application to transcriptomic data analysis." N. Wicker, D. Dembele, W. Raffelsberger and O. Poch. Nucleic Acids Research 30(18): 3392-4000, 2002.
  35. "Secator : A Program for Inferring Protein Subfamilies from Phylogenetic Trees." N. Wicker, G.R. Perrin, J.C. Thierry and O. Poch. Molecular Biology Evolution 18(8): 1435-1441, 2001.


I have contributed to the On-Line Encyclopedia of Integer Sequences with the sequence numbered A127117. Description of the sequence: A sequence of binary numbers. The first number is 1. Thereafter each number a(n) is defined using the previous number a(n-1) in the following way : a(n)=a(n-1).b(n-1) where the dot means the concatenation operation and b(n-1) stands for the first number that is not present in a(n-1), using the usual order (1, 10, 11, 100, 101, etc.). First numbers: 1, 10, 1011, 1011100, 10111001000, 101110010001010, 1011100100010101101, 10111001000101011011111, 1011100100010101101111110000, 101110010001010110111111000010011, ...