Team ALEA

Members
Overall Objectives
Scientific Foundations
Application Domains
New Results
Contracts and Grants with Industry
Other Grants and Activities
Bibliography

Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

[1]
A.-A. Tantar.
Métaheuristiques parallèles hybrides pour le docking moléculaire sur grilles de calcul, Université des Sciences et Technologie de Lille, 2009, Ph. D. Thesis.
[2]
E. Tantar.
Analyse du paysage en optimisation combinatoire multi-objectif, Université des Sciences et Technologie de Lille, 2009, Ph. D. Thesis.

Articles in International Peer-Reviewed Journal

[3]
B. Bercu, P. Del Moral, A. Doucet.
A functional central limit theorem for a class of interacting Markov chain Monte Carlo models, in: Electronic Journal of Probability, 2009, vol. 14, p. 2130-2155
http://hal.inria.fr/inria-00227534/en/.
[4]
A. Brockwell, P. Del Moral, A. Doucet.
Sequentially INteracting Markov chain Monte Carlo, in: Annals of Statistics, 2009
http://www.math.u-bordeaux.fr/~delmoral/simcmc.pdf, To appear.
[5]
P. Del Moral, A. Doucet.
Interacting Markov chain Monte Carlo methods for solving nonlinear measure-valued equations, in: Annals of Applied Probability, 2009
http://hal.inria.fr/inria-00227508/en/, To appear.
[6]
P. Del Moral, L. Miclo, F. Patras, S. Rubenthaler.
The convergence to equilibrium of neutral genetic models, in: Stochastic Analysis and Applications, 2009
http://hal.inria.fr/inria-00239259/en/, To appear.
[7]
P. Del Moral, F. Patras, S. Rubenthaler.
Coalescent tree based functional representations for some Feynman-Kac particle models, in: Annals of Applied Probability, 2009, vol. 19, p. 1-50
http://arxiv.org/pdf/math/0607453.

International Peer-Reviewed Conference/Proceedings

[8]
F. Caron, A. Doucet.
Bayesian nonparametric models on decomposable graphs, in: Neural Information Processing Systems (NIPS), 2009
http://books.nips.cc/papers/files/nips22/NIPS2009_0562.pdf.
[9]
D. Horvath, L. Brillet, S. Roy, S. Conilleau, A.-A. Tantar, J.-C. Boisson, N. Melab, E.-G. Talbi.
Local vs. global search strategies in evolutionary GRID-based conformational sampling & docking, in: Evolutionary Computation in Bioinformatics and Computational Biology, Evolutionary Computation, 2009. CEC '09. IEEE Congress on, May 2009, p. 247–254.
[10]
M. Pace.
How a Genetic Algorithm Learns to Play Traveler's Dilemma by Choosing Dominated Strategies to Achieve Greater Payoffs, in: IEEE Symposium on Computational Intelligence and Games, 2009.

Scientific Books (or Scientific Book chapters)

[11]
P. Collet, P. Legrand, C. Bourgeois-Republique, V. Pean, B. Frachet.
Using interactive evolutionary algorithms to help fit cochlear implants, in: Optimization in Signal and Image Processing, P. Siarry (editor), John Wiley and Sons,Iste, June 2009, vol. ISBN: 9781848210448 - 2009.
[12]
P. Del Moral, F. Patras, S. Rubenthaler.
A mean field theory of nonlinear filtering, in: In D. Crisan and B. Rosovsky, editors, Oxford Handbook of Nonlinear Filtering, Oxford University Press, 2009
http://hal.inria.fr/inria-00238398/en/.
[13]
P. Legrand.
Local regularity and multifractal methods for image and signal analysis, in: Scaling, Fractals and Wavelets, P. Abry, P. Gonçalves, J. Levy-Vehel (editors), Digital signal and image processing series, Iste-Wiley, January 2009.
[14]
A.-A. Tantar, N. Melab, E.-G. Talbi.
An Analysis of Dynamic Mutation Operators for Conformational Sampling, in: Biologically-Inspired Optimisation Methods, A. Lewis, S. Mostaghim, M. Randall (editors), Studies in computational intelligence, Vol. 210, Springer, 2009, p. 291–323
http://www.springerlink.com/content/284p361vnk753048.
[15]
E. Tantar, A.-A. Tantar, N. Melab, E.-G. Talbi.
Landscape Analysis in Adaptive Metaheuristics for Grid Computing, in: Parallel Programming, Models and Applications in Grid and P2P Systems, F. Xhafa (editor), Advances in Parallel Computing, IOS Press, 2009, p. 313–344.

Internal Reports

[16]
F. Cerou, P. Del Moral, A. Guyader.
Rare event simulation for a static distribution, INRIA, 2009
http://hal.inria.fr/inria-00350762/fr/, Technical report.
[17]
P. Del Moral, A. Doucet.
Particle Methods: An introduction with applications, INRIA, 2009
http://hal.inria.fr/inria-00403917/en/, Technical report.
[18]
P. Del Moral, A. Doucet, A. Jasra.
An adaptive sequential Monte Carlo method for approximate bayesian computation, INRIA, 2009
http://people.cs.ubc.ca/~arnaud/delmoral_doucet_jasra_smcabc.pdf, Technical report.
[19]
P. Del Moral, A. Doucet, S. Singh.
A Backward Particle Interpretation of Feynman-Kac Formulae, INRIA, 2009
http://hal.inria.fr/inria-00410165/en/, Technical report.
[20]
P. Del Moral, A. Doucet, S. Singh.
Forward Smoothing Using Sequential Monte Carlo, Engineering Department, Cambridge University, 2009
http://www-sigproc.eng.cam.ac.uk/~sss40/newerwork.htm, Technical report.
[21]
P. Del Moral, F. Patras, S. Rubenthaler.
Convergence of U -statistics for interacting particle systems, INRIA, 2009
http://hal.inria.fr/inria-00397366/en/, Technical report.
[22]
P. Del Moral, E. Rio.
Concentration Inequalities for Mean Field Particle Models, INRIA, 2009
http://hal.inria.fr/inria-00375134/fr/, Technical report.
[23]
C. Holmes, F. Caron, J. Griffin, D. Stephens.
Two-sample Bayesian nonparametric hypothesis testing, Oxford Man Institute, 2009
http://arxiv.org/abs/0910.5060, Technical report.
[24]
M. Lei, P. Del Moral, C. Baehr.
Analysis of Approximated PCRLBs for Nonlinear Dynamics Using Different Moments of State Estimate, INRIA, 2009
http://www.math.univ-toulouse.fr/~baehr/papers/error_of_pcrlb.pdf, Technical report.
[25]
M. Lei, P. Del Moral, C. Baehr.
Fisher Information Matrix-based Nonlinear System Conversion for State Estimation, INRIA, 2009
http://www.math.univ-toulouse.fr/~baehr/papers/pcrlb_trans.pdf, Technical report.

References in notes

[26]
A. Doucet, N. de Freitas, N. Gordon (editors)
Sequential Monte Carlo Methods in practice, Springer-Verlag, 2001.
[27]
N. Bartoli, P. D. Moral.
Simulation and Stochastic Algorithms (An introduction with applications), Cépaduès Editions, 2001.
[28]
A. Jasra, C. Andrieu, A. Doucet, P. D. Moral.
Non-Linear Markov chain Monte Carlo via Self Interacting Approximations, 2007, Univ. Bristol Preprints.
[29]
A. Jasra, C. Andrieu, A. Doucet, P. D. Moral.
A Note on Convergence of the Equi-energy Sampler, in: Journal Stochastic Analysis and its Applications, 2008.
[30]
J. R. Koza.
Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press, Cambridge, MA, USA, 1992.
[31]
W. B. Langdon, R. Poli.
Foundations of Genetic Programming, Springer-Verlag, New York, New York, 2002.
[32]
S. Mallat.
A wavelet tour of signal processing, 2nd, Elsevier, San Diego, CA, 1999.
[33]
P. D. Moral, L. Miclo.
Branching and Interacting Particle Systems Approximations of Feynman-Kac Formulae with Applications to Non-Linear Filtering, in: Séminaire de Probabilités XXXIV, J. Azéma, M. Emery, M. Ledoux, M. Yor (editors), Lecture Notes in Mathematics, Springer-Verlag Berlin, 2000, vol. 1729, p. 1-145.
[34]
P. D. Moral, L. Miclo.
Genealogies and Increasing Propagations of Chaos for Feynman-Kac and Genetic Models, in: Annals of Applied Probability, 2001, vol. 11, no 4, p. 1166-1198.
[35]
P. D. Moral, L. Miclo.
On convergence of chains with time empirical self-interactions, in: Proc. Royal Soc. Lond. A., 2003, vol. 460, p. 325–346.
[36]
P. D. Moral, L. Miclo.
Self Interacting Markov chains, in: Stochastic Analysis and Applications, 2006, vol. 24, no 3, p. 615–660.
[37]
P. D. Moral.
Feynman-Kac formulae. Genealogical and interacting particle systems, with applications, Springer Verlag New York, Series: Probability and its Applications, 2004.
[38]
R. Poli, W. B. Langdon, N. F. McPhee.
A field guide to genetic programming, 2008
http://www.gp-field-guide.org.uk, (With contributions by J. R. Koza).
[39]
L. Trujillo, G. Olague, P. Legrand, E. Lutton.
Regularity based descriptor computed from local image oscillations, in: Optics Express, 2007, vol. 15, p. 6140-6145.

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