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(également en bibtex)
Référence Localisation
R. A. Adams, J. F. Fournier Sobolev spaces (Elsevier, 2003)Eric Moulines (07 Apr 2009)
R. J. Adler, R. E. Feldman, M. S. Taqqu A practical guide to heavy tails (Birkhaüser, 1998)P. Ciblat <ciblat> (22/08/01)
E. Altman Constrained Markov decision processes (Chapman & Hall/CRC, Boca Raton, FL, 1999) <cappe> (03 Dec 2010)
Anderson, Britton Stochastic Epidemic Models and Their Statistical Analysis (Springer, 2000)E. Moulines <moulines> (17 Nov 2008)
D. Applebaum Lévy processes and stochastic calculus (Cambridge University Press, 2004) <moulines> (18/08/08)
Arkfen Mathematical methods for physicists (5th ed, 2000)J-F. Cardoso <cardoso> (24/10/01)
S. Asmussen, P. W. Glynn Stochastic simulation (Springer, 2007) <gfort> (28 May 2008)
J-M. Azais, M. Wschebor Level Sets and Extrema of Random Processes and Fields (Wiley-Blackwell, 2009) <jakubowi> (15 Dec 2009)
F. Baccelli, P. Bremaud Elements of Queueing Theory. Palm Martingale Calculus and Stochastic Recurrences (Springer, 2nd ed, 2003) <moulines> (14 Mar 2005)
G. H. Bakir, T. Hofmann, B. Schölkopf, A. J. Smola, B. Taskar, S. V. N. Vishwanathan Predicting Structured Data (MIT Press, 2007) <cappe> (11 Feb 2010)
O. E. Barndorff-Nielsen, D. R. Cox, C. Kluppelberg editors Complex Stochastic Systems (Chapman and Hall, 1999) <cappe> (26/10/03)
O. E. Barndorff-Nielsen, T. Mikosch, S. Resnick editors Levy Processes Theory and Applications (Birkhaüser, 2001)F. Roueff <roueff> (13/12/02)
J. Beirlant, Y. Goegebeur, J. Segers, J. Teugels Statistics of Extremes (Wiley, 2005) <stephan> (23 Dec 2010)
S. Benedetto, E. Biglieri Principles of digital transmission (Plenum Publishers, 1999)V. Buchoux <vbuchoux> (31/10/00)
J. Beran Statistics for Long-Memory Processes (Chapman & Hall/CRC, 1994)Céline Levy-Leduc (07 Jan 2011)
J. M. Bernardo, A. F. M. Smith Bayesian Theory (Wiley, 1994)O. Cappé <cappe> (12/01/00)
J. Bertoin Lévy Processes (Wiley, 1994)F. Roueff <roueff> (23/12/02)
Bertoin, Jean L\'evy processes (Cambridge University Press, 1996) <garivier> (21 Dec 2009)
D. P. Bertsekas Dynamic programming and optimal control. Vol. I (3rd ed., Athena Scientific, Belmont, MA, 2005) <cappe> (03 Dec 2010)
D. P. Bertsekas Dynamic programming and optimal control. Vol. II (2nd ed., Athena Scientific, Belmont, MA, 2005) <cappe> (27 Nov 2009)
D. P. Bertsekas Dynamic programming and optimal control. Vol. I (3rd ed., Athena Scientific, Belmont, MA, 2005) <filippi> (27 Nov 2009)
D. P. Bertsekas Dynamic programming and optimal control. Vol. I (3rd ed., Athena Scientific, Belmont, MA, 2005) <moulines> (27 Nov 2009)
D. P. Bertsekas Dynamic programming and optimal control. Vol. II (2nd ed., Athena Scientific, Belmont, MA, 2005) <garivier> (18/08/08)
D. P. Bertsekas Dynamic programming and optimal control. Vol. I (3rd ed., Athena Scientific, Belmont, MA, 2005) <cappe> (27 Nov 2009)
D. P. Bertsekas Convex Optimization Theory (Athena Scientific, 2009)Aurélien Garivier (23 Mar 2012)
Bertsekas, D., Tsitsiklis, J. N. Neuro-Dynamic Programming (Athena Scientific, 1996) <cappe> (03 Dec 2010)
Bertsekas, D., Tsitsiklis, J. N. Neuro-Dynamic Programming (Athena Scientific, 1996) <garivier> (14 Nov 2008)
P. J. Bickel, K. A. Doksum Mathematical Statistics, vol. I (Prentice Hall, 2001)O. Cappé <cappe> (11 Apr 2008)
Billingsley, P. Probability and measure (John Wiley & Sons Inc., 1995)Najim <najim> (15/11/2005)
Billingsley, P. Probability and measure (3rd ed., John Wiley & Sons Inc., 1995) <gfort> (18/08/08)
Billingsley, P. Convergence of probability measures (John Wiley & Sons Inc., 1999) <gfort> (18/08/08)
Billingsley, P. Convergence of probability measures (John Wiley & Sons Inc., 1999)Najim <najim> (15/11/2005)
C. M. Bishop Pattern Recognition And Machine Learning (Springer, 2008)C. Févotte (23 Dec 2008)
Bonnans, J. F., Gilbert, J. C., Lemarechal, C., Sagastizabal, C. A. Numerical Optimization: Theoretical and Practical Aspects (Springer, 2006) <sokolov> (02 Jun 2009)
V. S. Borkar Stochastic Approximation A Dynamical Systems Viewpoint (Cambridge University Press, 2008) <bianchi> (23 Mar 2012)
A. A. Borovkov Ergodicity and Stability of Stochastic Systems (Wiley, 1998) <moulines> (28/07/03)
Boyd S., Vandenberghe, L. Convex optimization (Cambridge University Press, 2004) <cappe> (11 Jun 2009)
Breuer, L., Baum, D. An Introduction to Queueing Theory and Matrix-Analytic Methods (Springer, 2005) <moulines> (22 Nov 2005)
P. J. Brockwell, R. A. Davis Time Series: Theory and Methods (Springer, 1987)Céline Lévy-Leduc (07 Jan 2011)
P. J. Brockwell, R. A. Davis Introduction to time series and forecasting (Springer, 1996)perdu (?) (07 Dec 2006)
Brockwell, P. J., Davis, R. A. Introduction to time series and forecasting (Springer, 2002)Olivier Cappé (24 Oct 2008)
B. E. Brodsky, B. S. Darkhovsky Non-parametric statistical diagnosis: problems and methods (Kluwer Academic Publishers, 2000)Céline Lévy-Leduc (02 Jun 2009)
Bucklew, J. A. Introduction to Rare Event Simulation (Springer, 2004)Olivier Cappé (09 Mar 2009)
Bucklew, J. A. Introduction to Rare Event Simulation (Springer, 2004) <clemenco> (18 Nov 2008)
Buffet, O., Sigaud, O. Processus décisionnels de Markov en intelligence artificielle. Volume 1 : principes généraux et applications (Hermes, 2008) <cappe> (03 Dec 2010)
Buffet, O., Sigaud, O. Processus décisionnels de Markov en intelligence artificielle. Volume 2 : méthodes avancées et applications (Hermes, 2008) <cappe> (03 Dec 2010)
O. Cappé, E. Moulines, T. Ryden Inference in Hidden Markov Models (Springer, 2009) <jakubowi> (15 Dec 2009)
O. Cappé, E. Moulines, T. Ryden Inference in Hidden Markov Models (Springer, 2009) <fevotte> (02 Dec 2010)
O. Cappé, E. Moulines, T. Ryden Inference in Hidden Markov Models (Springer, 2009) <gfort> (23 Dec 2010)
O. Chapelle, B. Schölkopf, A. Zien Semi-Supervised Learning (MIT Press, 2006) <cappe> (11 Feb 2010)
C. Chatfield, A. J. Collins Introduction to multivariate analysis (Chapman & Hall, 1980) <cappe> (15 Feb 2007)
J. Chen, A.K. Gupta Parametric statistical change point analysis (Birkhäuser, 2000)Céline Lévy-Leduc (02 Jun 2009)
T. Christiansen, N. Torkington Perl cookbook (O'Reilly, 1998)O. Cappé <cappe> (25/05/99)
A. Cichocki, S. Amari Adaptive blind signal and image processing: Learning Algorithms and Applications (Wiley, 2002)J-F. Cardoso <cardoso> (17/12/02)
B. Clarke, E. Fokoué, H.H. Zhang Principles and Theory for Data Mining and Machine Learning (Springer, 2009) <stephan> (23 Dec 2010)
A. Cohen Numerical analysis of wavelet methods (North-Holland Publishing Co., 2003) <roueff> (15/01/04)
T. M. Cover, J. A. Thomas Elements of information theory (Wiley, 1991) <najim> (11 May 2009)
T. M. Cover, J. A. Thomas Elements of information theory (Wiley, 1991)E. Moulines <moulines> (24/10/01)
Cover, T., Thomas, J. Elements of Information Theory (Wiley, 1991) <clemenco> (14 Nov 2008)
R. G. Cowell, A. P. Dawid, S. L. Lauritzen, D. J. Spiegelhalter Probabilistic networks and expert systems (Springer, 1999) <cappe> (09 Jul 2007)
Daley, D.J., Vere-Jones, D. An introduction to the theory of point processes (Springer, 2003) <clemenco> (04 Dec 2008)
de Boor, C. A practical guide to splines (Springer, 2001) <clemenco> (04 Dec 2008)
Dembo, A., Zeitouni, O. Large Deviations Techniques and Applications (Springer, 1998) <clemenco> (04 Dec 2008)
DeVore R., Lorentz G. Constructive approximation (Springer, 1993) <clemenco> (04 Dec 2008)
L. Devroye, L. Gyorfi, G. Lugosi A probabilistic theory of pattern recognition (Springer, 1996) <garivier> (28/11/02)
L. Devroye, L. Gyorfi, G. Lugosi A probabilistic theory of pattern recognition (Springer, 1996)O. Cappé <cappe> (14 Nov 2008)
L. Devroye, L. Gyorfi, G. Lugosi A probabilistic theory of pattern recognition (Springer, 1996) <clemenco> (04 Dec 2008)
A. Doucet, N. de Freitas, N. Gordon Sequential Monte Carlo methods in practice (Springer, 2001) <cappe> (14 Mar 2005)
R. O. Duda, P. E. Hart, D. G. Stork Pattern classification, second edition (Wiley, 2001) <cappe> (01 Apr 2009)
Dudley, R. M. Uniform Central Limit Theorems (Cambridge University Press, 1999) <clemenco> (14 Nov 2008)
R. M. Dudley Real analysis and probability (Cambridge University Press, 2002) <moulines> (30/10/03)
R.M. Dudley Real Analysis and Probability (Cambridge University Press, 2002) <stephan> (23 Dec 2010)
S. Efromovich Nonparametric curve estimation (Springer-Verlag, 1999)O. Cappé <cappe> (16/12/02)
Efron, B., Tibshirani, R.J. An Introduction to the Bootstrap (Chapman & Hall / CRC, 1993) <cappe> (01 Apr 2009)
P. Embrechts, C. Kluppelberg, T. Mikosch Modelling extremal events for insurance and finance (Springer-Verlag, 1997) <cappe> (28 May 2008)
P. Embrechts, C. Kluppelberg, T. Mikosch Modelling extremal events for insurance and finance (Springer-Verlag, 1997) <clemenco> (18 Nov 2008)
Ethier, S. N., Kurtz, T. G. Markov processes (John Wiley & Sons Inc., 1986) <moulines> (23 Feb 2006)
L. C. Evans Partial differential equations (American Mathematical Society, 1998) <moulines> (18/08/08)
J. Fan, I. Gijbels Local Polynomial Modelling and Its Applications (Chapman & Hall, 1996)O. Cappé <cappe> (02/04/01)
W. R. Gilks, S. Richardson, D. J. Spiegelhalter Markov Chain Monte Carlo in Practice (Chapman & Hall, 1998) <fevotte> (23 May 2008)
Girko, V. L. Theory of stochastic canonical equations. Vol. I (Kluwer Academic Publishers, 2001)Najim <najim> (15/11/2005)
Girko, V. L. Theory of stochastic canonical equations. Vol. II (Kluwer Academic Publishers, 2001)Najim <najim> (15/11/2005)
J. Gittins, K. Glazebrook, R. Weber Multi-armed Bandit Allocation Indices (Wiley, 2011)Emilie Kaufmann (21 Jul 2011)
Glasserman, P. Monte Carlo Methods in Financial Engineering (Springer, 2003) <moulines> (22 Nov 2005)
M. Goosens, F. Mittelbach, A. Samarin The LaTeX companion (Addison-Wesley, 1994)O. Cappé <cappe> (06 Apr 2006)
J. Grandell Mixed Poisson Processes (Chapman & Hall, 1997)O. Cappé <cappe> (07/05/01)
P. J. Green, B. W. Silverman Nonparametric Regression and Generalized Linear Models - A roughness penalty approach (Chapman & Hall, 1994)Olivier Cappé <cappe> (24 Jan 2007)
Grenander, U., Miller, M. Pattern Theory: from representation to inference (Oxford, 2007) <cappe> (06 Apr 2009)
G. Grimmett, D. Stirzaker Probability and Random Processes (Oxford, 2001)Olivier Cappé (21 Jul 2011)
G. Grimmett, D. Stirzaker One Thousand Exercises in Probability (Oxford, 2001)Olivier Cappé (21 Jul 2011)
L. Gyorfi, M. Kohler, A. Krzyzak, H. Walk A Distribution-Free Theory of Nonparametric Regression (Springer, 2002) <moulines> (02 Jun 2009)
L. Gyorfi, M. Kohler, A. Krzyzak, H. Walk A Distribution-Free Theory of Nonparametric Regression (Springer, 2002) <clemenco> (04 Dec 2008)
W. Härdle Applied Nonparametric Regression (Cambridge University Press, 1990) <cappe> (11 May 2005)
Harville, D. A. Matrix algebra from a statistician's perspective (Springer-Verlag, 1997)Najim <najim> (15/11/2005)
T. J. Hastie, R. J. Tibshirani Generalized Additive Models (Chapman & Hall, 1990) <cappe> (12 Sep 2006)
T. Hastie, R. Tibshirani, J. Friedman The elements of statistical learning: data mining, inference and prediction (Springer, 2001)Natalyia Sokolovska (24 Oct 2006)
T. Hastie, R. Tibshirani, J. Friedman The elements of statistical learning: data mining, inference and prediction (Springer, 2001) <roueff> (27 Nov 2009)
T. Hastie, R. Tibshirani, J. Friedman The elements of statistical learning: data mining, inference and prediction (2nd ed.) (Springer, 2001)David J Rohde (12 Jul 2010)
Hero, A. O., Castanon, D. A., Cochran, D., Kastella, K. Foundations and Applications of Sensor Management (Springer, 2008) <cappe> (18 Nov 2008)
Huskova, M., Beran, R., Dupac, V. Collected Works of Jaroslav Hajek (Wiley, 1998) <clemenco> (14 Nov 2008)
Jacobsen, M. Point process theory and applications (Birkhäuser Boston Inc., 2006) <roueff> (12 Dec 2006)
Jacod, J., Protter, P. L'essentiel en théorie des probabilités (Cassini, 2003) <garivier> (21 Dec 2009)
Jedrzejewski, F. Modèles aléatoires et physique probabiliste (Springer, 2009) <sigelle> (22 Dec 2009)
F. Jensen An Introduction to Bayesian Networks (UCL Press, 1996) <cappe> (06 Nov 2006)
T. Kailath, A. Sayed, B. Hassibi Linear Estimation (Prentice-Hall, 2000) <cappe> (07 Apr 2009)
Kallenberg, O. Foundations of modern probability (Springer-Verlag, 2002) <roueff> (12 Dec 2006)
N. K. Kartashov Strong stable Markov chains (VSP, 1996)R. Douc ? <douc> (12/06/02)
R. E. Kass, P. W. Vos Geometrical Foundations of Asymptotic Inference (Wiley, 1997)J-F. Cardoso <cardoso> (12/11/98)
S. M. Kay Fundamentals of Statistical Signal Processing: Estimation Theory (Prentice Hall, 1993)C. Févotte (23 Dec 2008)
S. M. Kay Fundamentals of Statistical Signal Processing: Detection Theory (Prentice Hall, 1998)C. Févotte (23 Dec 2008)
O. Kirch Linux network administrator's guide (O'Reilly, 1995)O. Cappé <cappe> (25/05/99)
G. Kitagawa, W. Gersch Smoothness priors analysis of time series (Springer-Verlag, 1996) <durrieu> (28 Jan 2008)
The Art of Computer Programming (Vol. 1-3) D. E. Knuth (Addison-Wesley, 1998) <jakubowi> (15 Dec 2009)
D. Koller, N. Friedman robabilistic Graphical Models: Principles and Techniques (MIT Press, 2009)Olivier Cappé (21 Jul 2011)
Y. A. Kravtsov, J. B. Kadtke Predictability of Complex Dynamical Systems (Springer, 1996)C. Touze <touze> (31/10/97)
H. J. Kushner, G. G. Yin Stochastic Approximation Algorithms and Applications (Springer, 1997)E. Moulines <moulines> (12/06/02)
E. L. Lehmann, G. Casella Theory of Point Estimation (Springer (2nd ed.), 1998)O. Cappé <cappe> (12/06/02)
Lehmann E., Romano J. Testing Statistical Hypotheses (Springer, 2005) <clemenco> (18 Nov 2008)
F. Liang, C. Liu, R. Carroll Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples (Wiley, 2010)Eric Moulines (07 Jan 2011)
R. Little, D. Rubin Statistical analysis with missing data (Wiley, 1989)O. Cappé <cappe> (12/06/02)
J. S. Liu Monte Carlo Strategies in Scientific Computing (Springer, 2001) <sigelle> (27/05/03)
D. MacKay Information theory, inference and learning algorithms (Cambridge University Press, 2004) <cappe> (30 Nov 2004)
Maronna, R. A., Martin, R. D., Yohai, V. J. Robust statistics (John Wiley & Sons, 2006)Céline Lévy-Leduc (21 Dec 2009)
D. L. McLeish Monte Carlo simulation and finance (John Wiley & Sons Inc., 2005) <moulines> (18/08/08)
S. Meyn Control techniques for complex networks (Cambridge University Press, 2008) <gfort> (18/08/08)
S. P. Meyn, R. L. Tweedie Markov Chains and Stochastic Stability (Springer (3rd printing), 1996)R. Douc <douc> (09/12/02)
M. Mézard, A. Montanari Information, Physics, and Computation (Oxford University Press, 2009) <cappe> (21 Dec 2009)
Muirhead, Robb J. Aspects of multivariate statistical theory (John Wiley & Sons Inc., 1982)J. Najim <najim> (15/11/05)
Y. Nesterov Introductory Lectures on Convex Optimization: A Basic Course (KAP, 2004)Olivier Cappé (21 Jul 2011)
J. Nocedal, S. Wright Numerical Optimization (Springer, 2006) <cappe> (15 Dec 2009)
Øksendal, B. Stochastic differential equations (Springer-Verlag, 2003) <moulines> (23 Feb 2006)
Øksendal, B., Sulem, A. Applied stochastic control of jump diffusions (Springer-Verlag, 2005) <moulines> (23 Feb 2006)
W. Palma Long-Memory Time Series: Theory and Methods (Wiley, 2006)Céline Lévy-Leduc (07 Jan 2011)
T. S. Parker, L. O. Chua Practical Numerical Algorithms for Chaotic Systems (Springer, 1989)C. Touze <touze> (31/10/97)
R. Payne, P. J. Green (eds.) COMPSTAT'98 Proceedings (vol. 1 et 2) (Physica Verlag, 1998)O. Cappé <cappe> (16/09/98)
D. Pena, G. C. Tiao, R. S. Tsay A course in time-series analysis. (Wiley, 2001)O. Cappé <cappe> (09 Dec 2008)
V. V. Petrov Limit Theorems of Probability Theory (Oxford University Press, 1990) <cappe> (21 Dec 2004)
V. V. Petrov Limit theorems of probability theory (Oxford University Press, 2004) <clemenco> (04 Dec 2008)
D. Pollard A User's Guide to Measure Theoretic Probability (Cambridge University Press, 2006) <stephan> (23 Dec 2010)
Puterman, M. L. Markov decision processes: discrete stochastic dynamic programming (John Wiley & Sons Inc., 1994) <cappe> (03 Dec 2010)
J. O. Ramsay, B. W. Silverman Functional Data Analysis (Springer, 1997)Marine Depecker (19 Feb 2008)
Rasmussen, C. E., Williams, C. K. I. Gaussian Processes for Machine Learning (MIT Press, 2006)O. Cappé <cappe> (28 Aug 2008)
R.D. Reiss, M. Thomas Statistical Analysis of Extreme Values (Birkäuser, 2000) <stephan> (23 Dec 2010)
Resnick, S. I. Adventures in stochastic processes (Birkaüser, 1992) <moulines> (24 Mar 2005)
Resnick, S. I. Heavy-tail phenomena (Springer, 2007) <roueff> (12 Nov 2008)
Revuz. D Markov Chains (Springer, 2005)G. Fort (23 Dec 2010)
D. Revuz, M. Yor Continuous martingales and Brownian motion (3rd ed, Springer-Verlag, 1999) <moulines> (18 Aug 2008)
D. Revuz, M. Yor Continuous martingales and Brownian motion (3rd ed, Springer-Verlag, 1999) <garivier> (09 Dec 2008)
J. Rich Fundamentals of cosmology (Springer, 2001)J-F. Cardoso <cardoso> (22/10/01)
Rio, E. Théorie asymptotique des processus aléatoires faiblement dépendants (Springer, 2000)G. Fort (23 Dec 2010)
C. P. Robert Méthodes de Monte Carlo par Chaînes de Markov (Economica, 1996) <cappe> (15 Jun 2007)
P. Robert Réseaux et files d'attente: méthodes probabilistes (Springer / SMAI, 2000) <cappe> (19 Jan 2005)
C. P. Robert, G. Casella Monte Carlo Statistical Methods (Springer, 1999)Olivier Cappé (31 Oct 2008)
P. M. Robinson, M. Rosenblatt Eds. Athens Conference on Applied Probability and Time Series Volume II (Springer-Verlag, 1996)F. Roueff <roueff> (12/06/02)
L. Rogers, D. Williams Diffusions, Markov Processes, and Martingales (2nd ed.) (Wiley, 1994) <moulines> (24 Mar 2005)
Rubinstein, R. Y., Kroese, D. P. The Cross-Entropy Method (Springer, 2004)Julien Cornebise (12 Jun 2008)
G. Samorodnitsky, M. S. Taqqu Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance (Chapman & Hall, 1994)F. Roueff <roueff> (30/12/02)
K-I. Sato Lévy Processes and Infinitely Divisible Distributions (Chapman & Hall, 1994)F. Roueff (*perdu*) (23/12/02)
Schneider, R., Weil, W. Stochastic and Integral Geometry (Springer, 2008) <jakubowi> (15 Dec 2009)
B. Scholkopf, A. J. Smola Learning with kernel (MIT Press, 2002)P. Bianchi (23 Feb 2012)
Serfling, R. Approximation Theorems of Mathematical Statistics (Wiley, 2002) <clemenco> (14 Nov 2008)
V. Seshadri The inverse Gaussian distribution (Springer, 1999)O. Cappé <cappe> (12/06/02)
Shao, J. Mathematical statistics (Springer, 2003) <moulines> (23 Feb 2006)
Shao, J. Mathematical statistics (Springer, 2003) <cappe> (21 Jul 2011)
A. Shapiro, D. Dentcheva, A. Ruszczynski Lectures on Stochastic Programming: Modeling and Theory (MPS-SIAM, 2009)Olivier Cappé (21 Jul 2011)
J. Shawe-Taylor, N. Cristianini Kernel methods for pattern analysis (Cambridge, 2004) <clemenco> (01 Apr 2009)
J. Shawe-Taylor, N. Cristianini Kernel methods for pattern analysis (Cambridge, 2004)Emilie Chautru (12 Jul 2010)
Shorack, G. R. Probability for Statisticians (Springer, 2000)Tabea Rebafka (20 Oct 2009)
Shorack, G. R. Probability for Statisticians (Springer, 2000)S. Clémençon (23 Dec 2008)
Shreve, S. E. Stochastic calculus for finance. II (Springer-Verlag, 2004) <moulines> (23 Feb 2006)
Shreve, S. E. Stochastic Calculus for Finance I: The Binomial Asset Pricing Model (Springer, 2005) <moulines> (22 Nov 2005)
D. Siegmund Sequential Analysis: Tests and Confidence Intervals (Springer, 2010)Stephan Clemencon (07 Jan 2011)
V. Smidl, A. Quinn The Variational Bayes Method in Signal Processing (Springer, 2005)C. Févotte (23 Dec 2008)
S. Sorin A First Course on Zero Sum Repeated Games (Springer, 2002)Olivier Cappé (21 Jul 2011)
J. C. Spall Introduction to stochastic search and optimization (Wiley-Interscience [John Wiley & Sons], 2003) <moulines> (18/08/08)
M. D. Srinath, P. K. Rajasekaran, R. Viswanathan Introduction to Statistical Signal Processing with Applications (Prentice Hall, 1996)O. Cappé <cappe> (12/06/02)
D. W. Stroock A Concise Introduction to the Theory of Integration (Birkhäuser, 1999)J. Najim <najim> (24/12/02)
Stroock, D. W. An introduction to Markov processes (Springer-Verlag, 2005)Najim <najim> (15/11/2005)
B. Stroustrup The C++ Programming Language, Special Edition (Addison Wesley, 1997)P. Cheung (* disparu *) <pcheung> (04/12/02)
Sutton, R. S., Barto, A. G. Reinforcement learning : an introduction (The MIT Press, 1998) <cappe> (03 Dec 2010)
C. Szepesvari Algorithms for Reinforcement Learning (Morgan & Claypool, 2010)Aurélien Garivier (21 Jul 2011)
Tsay, R. S. Analysis of Financial Time Series (Wiley, 2005)Céline Levy-Leduc (08 Sep 2006)
Tsay, R. S. Analysis of Financial Time Series (Wiley, 2005)Stephan Clémençon (20 Oct 2009)
Tsay, R. S. Analysis of Financial Time Series (Wiley, 2005)Céline Levy-Leduc (07 Jan 2011)
A. W. van der Vaart Asymptotic Statistics (CUP, 1998)Stéphane Clémençon (17 Oct 2007)
van der Vaart, A. W. Asymptotic Statistics (Cambridge University Press, 1998) <clemenco> (14 Nov 2008)
van der Vaart, A. W. Asymptotic Statistics (Cambridge University Press, 1998) <gfort> (23 Dec 2010)
A. W. van der Vaart, J. A. Wellner Weak convergence and empirical processes (Springer, 1996) <roueff> (19 Sep 2005)
A. W. van der Vaart, J. A. Wellner Weak convergence and empirical processes (Springer, 1996) <gfort> (23 Dec 2010)
V. Vapnik Statistical learning theory (Wiley, 1998)E. Moulines <moulines> (13/09/02)
V. Vapnik The nature of statistical learning theory (Springer, 2000)E. Moulines (12 Jun 2006)
V. Vapnik The nature of statistical learning theory (Springer, 2000) <clemenco> (18 Nov 2008)
W. N. Venables, B. D. Ripley Modern applied statistics with S-PLUS (Springer, 1999) <cappe> (24 Oct 2006)
C. Villani Classification and Regression Trees Topics in Optimal Transportation (American Mathematical Society, 2003) <stephan> (23 Dec 2010)
Vovk, V., Gammerman, A., Shafer, G. Algorithmic Learning in a Random World (Springer, 2005) <cappe> (01 Apr 2009)
L. Wall, T. Christiansen, R. Schwartz Programming perl (O'Reilly, 1991)O. Cappé <cappe> (12/06/02)
L. Wasserman All of statistics (Springer, 2004) <cappe> (07 Dec 2006)
M. West, J. Harrison Bayesian Forecasting & Dynamic Models (Springer (2nd ed.), 1989)O. Cappé <cappe> (12/06/02)
D. Williams Weighing the odds: A course in probability and statistics (Cambridge University Press, 2001)E. Moulines <moulines> (24 Mar 2005)
I. H. Witten, E. Frank Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann, 2005)S. Essid (23 Dec 2008)