A. Giremus, J. Tourneret, and V. Calmettes, A Particle Filtering Approach for Joint Detection/Estimation of Multipath Effects on GPS Measurements, IEEE Transactions on Signal Processing, vol.55, issue.4, pp.1275-1285, 2007.
DOI : 10.1109/TSP.2006.888895
URL : https://hal.archives-ouvertes.fr/hal-00183427

F. Caron, M. Davy, and E. Duflos, Particle Filtering for Multisensor Data Fusion With Switching Observation Models: Application to Land Vehicle Positioning, IEEE transactions on Signal Processing, 2006.
DOI : 10.1109/TSP.2007.893914

F. D. Nahimana, E. Duflos, and J. Marais, Reception state estimation of gnss satellites in urban environment using particle filtering, FUSION
URL : https://hal.archives-ouvertes.fr/inria-00368867

N. Viandier, D. Nahimana, J. Marais, and E. Duflos, Gnss performance enhancement in urban environment based on pseudo-range error model, 2008 IEEE/ION Position, Location and Navigation Symposium, pp.377-382, 2008.
DOI : 10.1109/PLANS.2008.4570093

Y. Bar-shalom and X. R. Li, Multitarget-multisensor tracking: principles and techniques. YBS publishing, 1995.

J. Tugnait, Adaptive estimation and identification for discrete systems with Markov jump parameters, IEEE Transactions on Automatic Control, vol.27, issue.5, pp.1054-1065, 1982.
DOI : 10.1109/TAC.1982.1103061

H. Blom and Y. Bar-shalom, The interacting multiple model algorithm for systems with Markovian switching coefficients, IEEE Transactions on Automatic Control, vol.33, issue.8, pp.780-783, 1988.
DOI : 10.1109/9.1299

E. Mazor, A. Averbuch, Y. Bar-shalom, and J. Dayan, Interacting multiple model methods in target tracking: a survey, IEEE Transactions on Aerospace and Electronic Systems, vol.34, issue.1, pp.103-123, 1998.
DOI : 10.1109/7.640267

C. Andrieu, M. Davy, and A. Doucet, Efficient particle filtering for jump markov systems. Application to time-varying autoregressions, IEEE Transactions on Signal Processing, vol.51, issue.7, 2003.
DOI : 10.1109/TSP.2003.810284

A. Doucet and B. Ristic, Recursive state estimation for multiple switching models with unknown transition probabilities, IEEE Transactions on Aerospace and Electronic Systems, vol.38, issue.3, pp.1098-1104, 2002.
DOI : 10.1109/TAES.2002.1039427

V. Jilkov and X. R. Li, Online Bayesian Estimation of Transition Probabilities for Markovian Jump Systems, IEEE Transactions on Signal Processing, vol.52, issue.6, pp.1620-1630, 2004.
DOI : 10.1109/TSP.2004.827145

A. Doucet, N. Gordon, and V. Krishnamurthy, Particle filters for state estimation of jump Markov linear systems, IEEE Transactions on Signal Processing, vol.49, issue.3, pp.613-624, 2001.
DOI : 10.1109/78.905890

M. Escobar and M. West, Bayesian Density Estimation and Inference Using Mixtures, Journal of the American Statistical Association, vol.55, issue.430, pp.577-588, 1994.
DOI : 10.1080/01621459.1987.10478458
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.1747

R. Neal, Markov chain sampling methods for Dirichlet process mixture models, Journal of Computational and Graphical Statistics, vol.9, pp.249-265, 2000.

P. Muller and F. Quintana, Nonparametric Bayesian data analysis. statistical science 19, 2004.

A. E. Gelfand, A. Kottas, and S. Maceachern, Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing, Journal of the American Statistical Association, vol.100, issue.471, pp.1021-1035, 2005.
DOI : 10.1198/016214504000002078

H. Ishwaran and L. F. James, Approximate Dirichlet Process Computing in Finite Normal Mixtures, Journal of Computational and Graphical Statistics, vol.11, issue.3, pp.508-532, 2002.
DOI : 10.1198/106186002411

R. M. Dorazio, On selecting a prior for the precision parameter of Dirichlet process mixture models, Journal of Statistical Planning and Inference, vol.139, issue.9, pp.3384-3390, 2009.
DOI : 10.1016/j.jspi.2009.03.009

A. Doucet, N. De-freitas, and N. Gordon, Sequential Monte Carlo methods in practice, 2001.
DOI : 10.1007/978-1-4757-3437-9

B. Ristic, S. Arulampalam, and N. Gordon, Beyond the Kalman Filter, 2004.

G. Casella and C. Robert, Rao-Blackwellisation of sampling schemes, Biometrika, vol.83, issue.1, pp.81-94, 1996.
DOI : 10.1093/biomet/83.1.81

A. Rabaoui, N. Viandier, J. Marais, and E. Duflos, Studies on dpm for the density estimation of pseudorange noises and evaluations on real data, IEEE/ION Position Location and Navigation Symposium, pp.377-382, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00713044

T. Ferguson, A Bayesian Analysis of Some Nonparametric Problems, The annals of statistics, pp.209-230, 1973.
DOI : 10.1214/aos/1176342360

E. B. Fowlkes and C. L. Mallows, A Method for Comparing Two Hierarchical Clusterings, Journal of the American Statistical Association, vol.66, issue.383, pp.553-584, 1983.
DOI : 10.1080/01621459.1983.10478008

N. Viandier, A. Rabaoui, J. Marais, and E. Duflos, GNSS pseudorange error density tracking using Dirichlet Process Mixture, 2010 13th International Conference on Information Fusion, 2010.
DOI : 10.1109/ICIF.2010.5711829
URL : https://hal.archives-ouvertes.fr/hal-00713046

E. Fox, E. Sudderth, and A. Willsky, Hierarchical dirichlet processes for tracking manoeuvering targets, Proceedings of the International Conference on Information Fusion, 2007.

Y. W. Teh and M. I. Jordan, Hierarchical Bayesian nonparametric models with applications, Bayesian Nonparametrics: Principles and Practice, 2010.
DOI : 10.1017/CBO9780511802478.006

T. L. Griffiths and Z. Ghahramani, Infinite latent feature models and the indian buffet process, Advances in Neural Information Processing Systems (NIPS), 2006.

E. R. Brown and J. G. Ibrahim, A Bayesian Semiparametric Joint Hierarchical Model for Longitudinal and Survival Data, Biometrics, vol.53, issue.2, pp.221-228, 2003.
DOI : 10.1111/1541-0420.00028

M. D. Iorio, P. Muller, G. L. Rosner, and S. N. Maceachern, An ANOVA Model for Dependent Random Measures, Journal of the American Statistical Association, vol.99, issue.465, pp.205-215, 2004.
DOI : 10.1198/016214504000000205

P. Muller, F. Quintana, and G. L. Rosner, A method for combining inference across related nonparametric Bayesian models, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.22, issue.3, pp.735-749, 2004.
DOI : 10.1214/aos/1031594741

D. Blackwell and J. Macqueen, Ferguson Distributions Via Polya Urn Schemes, The Annals of Statistics, vol.1, issue.2, pp.353-355, 1973.
DOI : 10.1214/aos/1176342372
URL : http://projecteuclid.org/download/pdf_1/euclid.aos/1176342372

J. Stthuraman, A constructive definition of Dirichlet priors, Statistica Sinica, vol.4, pp.639-650, 1994.

C. E. Antoniak, Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems, The Annals of Statistics, vol.2, issue.6, pp.1152-1174, 1974.
DOI : 10.1214/aos/1176342871

J. S. Liu, Nonparametric hierarchical Bayes via sequential imputations, The Annals of Statistics, vol.24, issue.3, pp.911-930, 1996.
DOI : 10.1214/aos/1032526949

S. N. Maceachern and P. Muller, Estimating Mixture of Dirichlet Process Models, Journal of Computational and Graphical Statistics, vol.4, issue.2, pp.223-238, 1998.
DOI : 10.1080/01621459.1996.10476671

C. E. Ghahramani, The infinite gaussian mixture model, NIPS, pp.294-300, 2000.

M. West, Hyperparameter estimation in dirichlet process mixture models, 1992.

A. Doucet, S. Godsill, and C. Andrieu, On sequential monte carlo sampling methods for bayesian filtering, Statistics and Computing, vol.10, issue.3, pp.197-208, 2000.
DOI : 10.1023/A:1008935410038

F. Caron, M. Davy, A. Doucet, and E. Duflos, Bayesian Inference for Dynamic Models with Dirichlet Process Mixtures, 2006 9th International Conference on Information Fusion, pp.10-13, 2006.
DOI : 10.1109/ICIF.2006.301580
URL : https://hal.archives-ouvertes.fr/inria-00129646

N. Viandier, J. Marais, A. Prestail, and E. D. Verdalle, Positioning urban buses: GNSS performances, 2008 8th International Conference on ITS Telecommunications, pp.51-55, 2008.
DOI : 10.1109/ITST.2008.4740226

F. Caron, M. Davy, and A. Doucet, Generalized polya urn for time-varying dirichlet process mixtures, 23rd Conference on Uncertainty in Artificial Intelligence (UAI), 2007.