Bibliography

• 1M. Chavent, B. Liquet, J. Saracco.
  
  A semiparametric approach for a multivariate sample selection model, in: Statist. Sinica, 2010, vol. 20, n^o 2, p. 513–536.
• 2O. Costa, F. Dufour.
  
  Stability and ergodicity of piecewise deterministic Markov processes, in: SIAM J. Control Optim., 2008, vol. 47, n^o 2, p. 1053–1077.
• 3O. Costa, F. Dufour.
  
  The Vanishing Discount Approach for the Average Continuous Control of Piecewise Deterministic Markov Processes, in: Journal of Applied Probability, 2009, vol. 46, n^o 4, p. 1157-1183.
• 4F. Dufour, A. Piunovskiy.
  
  Multi-objective stopping problem for discrete-time Markov processes, in: Journal of Applied Probability, 2010, vol. 47, n^o 4, p. 947-966.
• 5A. Gannoun, J. Saracco, A. Yuan, G. E. Bonney.
  
  Non-parametric quantile regression with censored data, in: Scand. J. Statist., 2005, vol. 32, n^o 4, p. 527–550.
• 6J. Saracco.
  
  Asymptotics for pooled marginal slicing estimator based on ${\mathrm{SIR}}_{\alpha }$ approach, in: J. Multivariate Anal., 2005, vol. 96, n^o 1, p. 117–135.
• 7B. de Saporta, A. Gégout-Petit, L. Marsalle.
  
  Parameters estimation for asymmetric bifurcating autoregressive processes with missing data, in: Electronic Journal of Statistics, 2011, vol. 5, p. 1313-1353. [ DOI : 10.1214/11-EJS643 ]
  
  http://hal.inria.fr/hal-00545447/en
• 8B. de Saporta, F. Dufour, K. Gonzalez.
  
  Numerical method for optimal stopping of piecewise deterministic Markov processes, in: The Annals of Applied Probability, 2010, vol. 20, n^o 5, p. 1607-1637.

Doctoral Dissertations and Habilitation Theses

• 9A. Brandejsky.
  
  Méthodes numériques pour les processus markoviens déterministes par morceaux, Université Bordeaux 1, July 2012.
  
  http://tel.archives-ouvertes.fr/tel-00733731
• 10A. Gegout-Petit.
  
  Contribution à la statistique des processus : modélisation et applications, Université Sciences et Technologies - Bordeaux I, November 2012, Habilitation à Diriger des Recherches.
  
  http://hal.inria.fr/tel-00762189

Articles in International Peer-Reviewed Journals

• 11B. Bercu, T. Mong Ngoc Nguyen, J. Saracco.
  
  A new approach on recursive and non-recursive SIR methods, in: Journal of the Korean Statistical Society, 2012, vol. 41, p. 17-36. [ DOI : 10.1016/j.jkss.2011.05.005 ]
  
  http://hal.inria.fr/hal-00642653
• 12A. Brandejsky, B. de Saporta, F. Dufour.
  
  Numerical method for expectations of piecewise-determistic Markov processes, in: Communications in Applied Mathematics & Computational Science, 2012, vol. 7, n^o 1, p. 63-104, 39 pages.
  
  http://hal.inria.fr/hal-00617816
• 13A. Brandejsky, B. de Saporta, F. Dufour.
  
  Numerical methods for the exit time of a piecewise-deterministic Markov process, in: Advances in Applied Probability, 2012, vol. 44, n^o 1, p. 196-225.
  
  http://hal.inria.fr/hal-00546339
• 14M. Chavent, V. Kuentz, B. Liquet, J. Saracco.
  
  ClustOfVar: An R Package for the Clustering of Variables, in: Journal of Statistical Software, 2012, vol. 50, n^o 13, p. 1-16.
  
  http://hal.inria.fr/hal-00764429
• 15M. Chavent, V. Kuentz-Simonet, J. Saracco.
  
  Orthogonal rotation in PCAMIX, in: Advances in Data Analysis and Classification, 2012, vol. 6, p. 131-146. [ DOI : 10.1007/s11634-012-0105-3 ]
  
  http://hal.inria.fr/hal-00764427
• 16F. Dufour, O. Costa.
  
  Singularly Perturbed Discounted Markov Control Processes in a General State Space, in: SIAM Journal of control and optimization, 2012, vol. 50, n^o 2, p. 720-747.
  
  http://hal.inria.fr/hal-00759715
• 17F. Dufour, M. Horiguchi, A. Piunovskiy.
  
  The expected total cost criterion for Markov decision processes under constraints: a convex analytic approach, in: Advances in Applied Probability, 2012, vol. 44, n^o 3, p. 774-793.
  
  http://hal.inria.fr/hal-00759717
• 18F. Dufour, T. Prieto-Rumeau.
  
  Approximation of Markov Decision Processes with General State Space, in: Journal of Mathematical Analysis and applications, 2012, vol. 388, n^o 2, p. 1254-1267.
  
  http://hal.inria.fr/hal-00648223
• 19F. Dufour, R. Stockbridge.
  
  On the existence of strict optimal controls for constrained, controlled Markov processes in continuous-time, in: Stochastics: An International Journal of Probability and Stochastic Processes, 2012, vol. 84, n^o 1, p. 57-78. [ DOI : 10.1080/17442508.2011.580347 ]
  
  http://hal.inria.fr/hal-00648221
• 20A. Gégout-Petit, R. Azais, J. Saracco.
  
  Optimal quantization applied to Sliced Inverse Regression, in: Journal of Statistical Planning and Inference, February 2012, vol. 142, n^o 2, p. 481-492. [ DOI : 10.1016/j.jspi.2011.08.006 ]
  
  http://hal.inria.fr/hal-00556420
• 21J. Josse, M. Chavent, B. Liquet, F. Husson.
  
  Handling Missing Values with Regularized Iterative Multiple Correspondence Analysis, in: Journal of Classification, 2012, vol. 29, n^o 1, p. 91-116.
  
  http://hal.inria.fr/hal-00763227
• 22B. de Saporta, F. Dufour.
  
  Numerical method for impulse control of Piecewise Deterministic Markov Processes, in: Automatica, 2012, vol. 48, p. 779-793.
  
  http://hal.inria.fr/hal-00541413
• 23B. de Saporta, F. Dufour, H. Zhang, C. Elegbede.
  
  Optimal stopping for predictive maintenance of a structure subject to corrosion, in: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2012, vol. 226, n^o 2, p. 169-181.
  
  http://hal.inria.fr/hal-00554759
• 24B. de Saporta, A. Gégout-Petit, L. Marsalle.
  
  Asymmetry tests for Bifurcating Auto-Regressive Processes with missing data, in: Statistics and Probability Letters, 2012, vol. 82, n^o 7, p. 1439-1444.
  
  http://hal.inria.fr/hal-00662129

Articles in National Peer-Reviewed Journals

• 25L. Vezard, P. Legrand, M. Chavent, F. Faita-Ainseba, J. Clauzel.
  
  Classification de données EEG par algorithme évolutionnaire pour l'étude d'états de vigilance, in: Revue des Nouvelles Technologies de l'Information, 2012.
  
  http://hal.inria.fr/hal-00643438

Invited Conferences

• 26B. De Saporta, A. Brandejsky, F. Dufour.
  
  Optimal stopping for partially observed piecewise deterministic markov processes, in: XIème Colloque Franco-Roumain de Mathématiques Appliquées, Bucarest, Roumanie, 2012.
  
  http://hal.inria.fr/hal-00755119
• 27F. Dufour, M. Horiguchi, A. Piunovskiy.
  
  The expected total cost criterion for Markov decision processes under constraints : a convex analytic approach, in: EURO 2012, Lituanie, 2012.
  
  http://hal.inria.fr/hal-00759727
• 28F. Dufour, T. Prieto-Rumeau.
  
  Linear Programming Approximations of Constrained Markov Decision Processes, in: XIème Colloque Franco-Roumain de Mathématiques Appliquées,, Roumanie, 2012.
  
  http://hal.inria.fr/hal-00759729
• 29J. Saracco.
  
  A sliced inverse regression approach for block-wise evolving data streams, in: StatLearn 2012, Lille, France, April 2012.
  
  http://hal.inria.fr/hal-00768451

International Conferences with Proceedings

• 30C. Baysse, A. Gégout-Petit, D. Bihannic, M. Prenat, J. Saracco.
  
  Detection of a degraded operating mode of optronic equipment using Hidden Markov Model., in: PSAM 11 / ESREL 2012, Finlande, June 2012, 6 p.
  
  http://hal.inria.fr/hal-00762227
• 31P. Brito, M. Chavent.
  
  Divisive Monothetic Clustering for Interval and Histogram-valued Data, in: ICPRAM 2012 - 1st International Conference on Pattern Recognition Applications and Methods, Portugal, 2012, p. 229-234.
  
  http://hal.inria.fr/hal-00763215
• 32B. De Saporta, F. Dufour, H. Zhang.
  
  Predictive maintenance for the heated hold-up tank, in: PSAM11-ESREL12, Helsinki, Finlande, 2012.
  
  http://hal.inria.fr/hal-00755078
• 33B. De Saporta, A. Gégout-Petit, L. Marsalle.
  
  Analyse asymptotique des processus autoregressifs de bifurcation avec données manquantes, in: 44èmes Journées de Statistique, Bruxelles, Belgique, 2012.
  
  http://hal.inria.fr/hal-00755108
• 34A. Gégout-Petit, M. Touzet-Cortina, M. Puiggali, A. Ben Abdessalem, R. Azaïs.
  
  Modelling of fatigue crack propagation using Piecewise Deterministic Markov Processes, in: 3rd International Conference on Engineering Optimization, Brésil, June 2012, 6 p.
  
  http://hal.inria.fr/hal-00762214
• 35A. Nègre, O. Marceau, D. Laneuville, H. Zhang, B. De Saporta, F. Dufour.
  
  Stochastic control for underwater optimal trajectories, in: IEEE Aerospace conference, Big Sky, États-Unis, 2012. [ DOI : 10.1109/AERO.2012.6187191 ]
  
  http://hal.inria.fr/hal-00755115
• 36H. Zhang, B. De Saporta, F. Dufour, G. Deleuze.
  
  Dynamic reliability : towards efficient simulation of the availability of a feedwater control system, in: NPIC-HMIT, San Diego, États-Unis, 2012, p. 714-723.
  
  http://hal.inria.fr/hal-00755070

National Conferences with Proceeding

• 37R. Azaïs, F. Dufour, A. Gégout-Petit.
  
  Estimation non-paramétrique du taux de saut d'un processus de renouvellement marqué non-homogène, in: 44èmes Journées de Statistique, Bruxelles, Belgique, May 2012.
  
  http://hal.inria.fr/hal-00762912
• 38C. Baysse, D. Bihannic, B. De Saporta, A. Gégout-Petit, M. Prenat, J. Saracco.
  
  Modèle de markov caché pour la détection d'un mode de fonctionnement dégradé d'un équipement optronique, in: Lambda-Mu 18, Tours, France, 2012, communication 3D-1.
  
  http://hal.inria.fr/hal-00755131
• 39H. Zhang, B. De Saporta, F. Dufour, G. Deleuze.
  
  Fiabilité dynamique : simulation d'un système de régulation du niveau d'eau dans un générateur de vapeur, in: Lambda-Mu 18,, La Rochelle, France, 2012, Communication 7D-1.
  
  http://hal.inria.fr/hal-00755125

Conferences without Proceedings

• 40R. Azaïs, F. Dufour, A. Gégout-Petit.
  
  A nonparametric estimator of the jump rate for a general class of marked renewal processes, in: Sexto encuentro de Estadística Matemática BoSanTouVal, Castro Urdiales, Espagne, June 2012.
  
  http://hal.inria.fr/hal-00762913
• 41R. Azaïs, F. Dufour, A. Gégout-Petit.
  
  Estimation non-paramétrique de la loi conditionnelle des temps inter-sauts d'un PDMP, in: Journées MAS 2012 Clermont-Ferrand, Clermont-Ferrand, France, August 2012.
  
  http://hal.inria.fr/hal-00762914
• 42M. Chavent, V. Kuentz-Simonet, Z. Lakatos, J. Saracco.
  
  Rotation orthogonale en ACP de données mixtes. Le package PCAmixdata et une application en sociologie culturelle., in: 1ères Rencontres R, Bordeaux, France, July 2012.
  
  http://hal.inria.fr/hal-00717515
• 43R. Coudret, G. Durrieu, J. Saracco.
  
  Une interface graphique pour analyser des données distantes sous R, in: 1ères Rencontres R, Bordeaux, France, July 2012, Ce travail présente une méthode pour implémenter des algorithmes d'analyse de données lorsque celles-ci sont stockées sur une machine distante et pour créer une interface graphique facilitant l'utilisation de ces algorithmes. Une application à des estimations de densité dans un contexte biologique est fournie..
  
  http://hal.inria.fr/hal-00717552
• 44A. Gégout-Petit, L. Guerin-Dubrana, J.-C. Labrousse, A. Labenne, P. Rey, S. Bastien.
  
  Statistical Analysis of Grapevine Mortality Associated with Esca or Eutypa Dieback Foliar Expression, in: 8th International Workshop on Grapevine Trunk Diseases, Valencia, Espagne, June 2012.
  
  http://hal.inria.fr/hal-00762208
• 45V. Kuentz-Simonet, S. Lyser, M. Chavent, J. Saracco, J. Candau, P. Deuffic.
  
  La prise en compte de l'environnement par les agriculteurs : une analyse avec le package "ClustOfVar", in: 1ères Rencontres R, Bordeaux, France, July 2012.
  
  http://hal.inria.fr/hal-00717496
• 46A. Labenne, F. Bonneu, M. Chavent, A. Gegout-Petit, L. Guerin-Dubrana.
  
  Test de la vraisemblance entre deux motifs de points, in: 1ères Rencontres R, Bordeaux, France, July 2012.
  
  http://hal.inria.fr/hal-00717541
• 47L. Vezard, P. Legrand, M. Chavent, F. Faita-Ainseba, J. Clauzel.
  
  Classification of EEG signals by an evolutionary algorithm, in: COMPSTAT 2012, Limassol, Chypre, August 2012.
  
  http://hal.inria.fr/hal-00757270
• 48L. Vezard, P. Legrand, M. Chavent, F. Faita-Ainseba.
  
  Sélection de variables par algorithme génétique pour l'étude d'états de vigilance, in: Journée Évolutionnaire Thématique, 23éme édition, Paris, France, November 2012.
  
  http://hal.inria.fr/hal-00759420

Scientific Books (or Scientific Book chapters)

• 49J.-F. Aubry, G. Babykina, N. Brinzei, S. Medjaher, A. Barros, C. Bérenguer, A. Grall, Y. Langeron, D. Ngoc Nguyen, G. Deleuze, B. de Saporta, F. Dufour, H. Zhang.
  
  Projet APPRODYN : approches de la fiabilité dynamique pour modéliser des systèmes critiques, in: Supervision, surveillance et sûreté de fonctionnement des grands systèmes, N. Matta, Y. Vandenboomgaerde, J. Arlat (editors), Traité Information, Commande, Communication, IC2, Hermès Science Publications, March 2012, p. 181-222.
  
  http://hal.inria.fr/hal-00675333
• 50J.-F. Aubry, G. Babykina, N. Brinzei, S. Medjaher, A. Barros, C. Bérenguer, A. Grall, Y. Langeron, D. Ngoc Nguyen, G. Deleuze, B. de Saporta, F. Dufour, H. Zhang.
  
  The APPRODYN project: dynamic reliability approaches to modeling critical systems, in: Supervision and Safety of Complex Systems, N. Matta, Y. Vandenboomgaerde, J. Arlat (editors), Wiley-ISTE, August 2012, p. 181-222, Chapter 8.
  
  http://hal.inria.fr/hal-00762917
• 51O. Costa, F. Dufour.
  
  Continuous Control of Piecewise Deterministic Markov Processes with Long Run Average Cost, in: Stochastic Processes, Finance and Control. A Festschrift in Honor of Robert J. Elliott., World Scientific, 2012, p. 120-154.
  
  http://hal.inria.fr/hal-00759726
• 52F. Dufour, T. Prieto-Rumeau.
  
  Approximation of Infinite Horizon Discounted Cost Markov Decision Processes, in: Optimization, Control, and Applications of Stochastic Systems, Birkhäuser, 2012, p. 59-76.
  
  http://hal.inria.fr/hal-00759719

Internal Reports

• 53J.-F. Aubry, G. Babykina, A. Barros, N. Brinzei, G. Deleuze, B. de Saporta, F. Dufour, Y. Langeron, H. Zhang.
  
  Rapport final du projet APPRODYN : APPROches de la fiabilité DYNamique pour modéliser des systèmes critiques, Inria, March 2012, n^o SURFDIAG, ISET.
  
  http://hal.inria.fr/hal-00740181
• 54H. Zhang, B. De Saporta, F. Dufour.
  
  Contrôle optimal stochastique, application à l'optimisation de trajectoire en 3d, Inria, 2012, Rapport technique de CQFD pour DCNS.
  
  http://hal.inria.fr/hal-00755134

Other Publications

• 55R. Azaïs.
  
  A recursive nonparametric estimator for the transition kernel of a piecewise-deterministic Markov process, 2012.
  
  http://hal.inria.fr/hal-00759065
• 56R. Azaïs, F. Dufour, A. Gégout-Petit.
  
  Nonparametric estimation of the conditional distribution of the inter-jumping times for piecewise-deterministic Markov processes, 2012.
  
  http://hal.inria.fr/hal-00759064
• 57R. Azaïs, F. Dufour, A. Gégout-Petit.
  
  Nonparametric estimation of the jump rate for non-homogeneous marked renewal processes, 2012.
  
  http://hal.inria.fr/hal-00759062
• 58C. Baysse, D. Bihannic, A. Gégout-Petit, M. Prenat, J. Saracco.
  
  Hidden Markov Model for the detection of a degraded operating mode of optronic equipment, 2012, 11 pages, 9 figures.
  
  http://hal.inria.fr/hal-00763963
• 59B. Bercu, T. Mong Ngoc Nguyen, J. Saracco.
  
  On the asymptotic behavior of the Nadaraya-Watson estimator associated with the recursive SIR method, 2012.
  
  http://hal.inria.fr/hal-00673832
• 60A. Brandejsky, B. de Saporta, F. Dufour.
  
  Optimal stopping for partially observed piecewise-deterministic Markov processes, 2012.
  
  http://hal.inria.fr/hal-00755052
• 61M. Chavent, S. Girard, V. Kuentz, B. Liquet, T. M. N. Nguyen, J. Saracco.
  
  A sliced inverse regression approach for data stream.
  
  http://hal.inria.fr/hal-00688609
• 62R. Coudret, G. Durrieu, J. Saracco.
  
  Comparison of kernel density estimators with assumption on number of modes, 2012.
  
  http://hal.inria.fr/hal-00748790
• 63R. Coudret, S. Girard, J. Saracco.
  
  A new sliced inverse regression method for multivariate response regression.
  
  http://hal.inria.fr/hal-00714981
• 64B. de Saporta, A. Gégout-Petit, L. Marsalle.
  
  Random coefficients bifurcating autoregressive processes, 2012.
  
  http://hal.inria.fr/hal-00702357
• 65B. de Saporta, A. G. Petit, L. Marsalle.
  
  Statistical study of asymmetry in cell lineage data, 2012.
  
  http://hal.inria.fr/hal-00702359
• 66B. de Saporta, H. Zhang.
  
  Predictive maintenance for the heated hold-up tank, 2012, arXiv admin note: substantial text overlap with arXiv:1101.1740.
  
  http://hal.inria.fr/hal-00755056

• 67T. Aldemir, S. Guarro, et al..
  
  Benchmark Implementation of Two Dynamic Methodologies for the Reliability Modeling of Digital Instrumentation and Control Systems, NUREG/CR-6985, 2008.
• 68T. Aven, U. Jensen.
  
  Stochastic models in reliability, Applications of Mathematics, Springer, New York, 1999, vol. 41.
• 69B. Bercu, B. de Saporta, A. Gégout-Petit.
  
  Asymptotic analysis for bifurcating autoregressive processes via a martingale approach, in: Electronic Journal of Probability, 2009, vol. 14, p. 2492–2526.
• 70V. Blandin.
  
  Asymptotic results for bifurcating random coefficient autoregressive processes, 2012, ArXiv 1204.2926.
• 71Q. M. Bui, R. M. Huggins.
  
  Inference for the random coefficients bifurcating autoregressive model for cell lineage studies, in: J. Statist. Plann. Inference, 1999, vol. 81, n^o 2, p. 253–262.
• 72R. Cowan, R. G. Staudte.
  
  The bifurcating autoregressive model in cell lineage studies, in: Biometrics, 1986, vol. 42, p. 769–783.
• 73M. H. A. Davis.
  
  Markov models and optimization, Monographs on Statistics and Applied Probability, Chapman & Hall, London, 1993, vol. 49.
• 74J.-F. Delmas, L. Marsalle.
  
  Detection of cellular aging in a Galton-Watson process, in: Stoch. Process. and Appl., 2010, vol. 120, p. 2495–2519.
• 75J. Devooght.
  
  Dynamic reliability, Advances in nuclear science and technology, Chapman and Hall, Berlin, 1997.
• 76N. Duan, K.-C. Li.
  
  Slicing regression: a link-free regression method, in: Ann. Statist., 1991, vol. 19, n^o 2, p. 505–530.
  
  http://dx.doi.org/10.1214/aos/1176348109
• 77R. Duda, P. Hart, D. Stork.
  
  Pattern Classification, John Wiley, 2001.
• 78M. Duflo.
  
  Random iterative models, Applications of Mathematics, Springer-Verlag, Berlin, 1997, vol. 34, xviii+385 p.
• 79F. Dufour, Y. Dutuit.
  
  Dynamic reliability: A new model, in: Proceedings of ESREL 2002 Lambda-Mu 13 Conference, 2002, p. 350–353.
• 80A. Grall, C. Bérenguer, L. Dieulle.
  
  A conditional-based maintenance policy for a stochastically deteriorating system, in: Reliability Engineering and System Safety, 2002, vol. 76, n^o 2, p. 167-180.
• 81U. S. Gugerli.
  
  Optimal stopping of a piecewise-deterministic Markov process, in: Stochastics, 1986, vol. 19, n^o 4, p. 221–236.
• 82J. Guyon.
  
  Limit theorems for bifurcating Markov chains. Application to the detection of cellular aging, in: Ann. Appl. Probab., 2007, vol. 17, n^o 5-6, p. 1538–1569.
• 83R. M. Huggins, I. V. Basawa.
  
  Inference for the extended bifurcating autoregressive model for cell lineage studies, in: Aust. N. Z. J. Stat., 2000, vol. 42, n^o 4, p. 423–432.
• 84R. M. Huggins, I. V. Basawa.
  
  Extensions of the bifurcating autoregressive model for cell lineage studies, in: J. Appl. Probab., 1999, vol. 36, n^o 4, p. 1225–1233.
• 85R. M. Huggins.
  
  Robust inference for variance components models for single trees of cell lineage data, in: Ann. Statist., 1996, vol. 24, n^o 3, p. 1145–1160.
• 86R. M. Huggins, R. G. Staudte.
  
  Variance Components Models for Dependent Cell Populations, in: J. AMS, 1994, vol. 89, n^o 425, p. 19–29.
• 87V. Kothare, C. Falinower.
  
  Level Control in the Steam Generator of a Nuclear Power Plant, in: IEEE Transactions on Control systems Technology, 2000, vol. 8, n^o 1.
• 88K.-C. Li.
  
  Sliced inverse regression for dimension reduction, in: J. Amer. Statist. Assoc., 1991, vol. 86, n^o 414, p. 316–342, With discussion and a rejoinder by the author.
• 89M. Marseguerra, E. Zio.
  
  The cell-to-boundary method in Monte Carlo-based dynamic PSA, in: Reliability Engineering and System Safety, 1995, vol. 48, n^o 3, p. 199-204.
• 90M. Marseguerra, E. Zio.
  
  Monte Carlo approach to PSA for dynamic process systems, in: Reliability Engineering and System Safety, 1996, vol. 52, n^o 3 SPEC. ISS., p. 227-241.
• 91D. F. Nicholls, B. G. Quinn.
  
  Random coefficient autoregressive models: an introduction, Lecture Notes in Statistics, Springer-Verlag, New York, 1982, vol. 11, Lecture Notes in Physics, 151.
• 92H. Pham, W. Runggaldier, A. Sellami.
  
  Approximation by quantization of the filter process and applications to optimal stopping problems under partial observation, in: Monte Carlo Methods Appl., 2005, vol. 11, n^o 1, p. 57–81.
• 93E. Stewart, R. Madden, F. Taddei.
  
  Aging and death in an organism that reproduces by morphologically symmetric division, in: PLoS Biol., 2005, vol. 3, n^o 2, e45 p.
• 94H. Zhang, F. Dufour, Y. Dutuit, K. Gonzalez.
  
  Piecewise deterministic Markov processes and dynamic reliability, in: Proc. of the Inst. of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2008, vol. 222, n^o 4, p. 545–551.
• 95J. Zhou, I. V. Basawa.
  
  Maximum likelihood estimation for a first-order bifurcating autoregressive process with exponential errors, in: J. Time Ser. Anal., 2005, vol. 26, n^o 6, p. 825–842.
• 96J. van Noortwijk.
  
  A survey of the application of gamma processes in maintenance, in: Reliability Engineering and System Safety, 2009, vol. 94, n^o 1, p. 2-21.