1. K. Bertin & N. Klutchnikoff, Pointwise Adaptive Estimation of the Marginal Density of a Weakly Dependent Process. Aceptado en Journal of Statistical Planning and Inference.
  2. R. de la Cruz, C. Fuentes, C. Meza, D.-J. Lee & A. Arribas-Gil, Predicting pregnancy outcomes using longitudinal information: a penalized splines mixed-effects model approach. Aceptado en Statistics in Medicine.
  3. L. Fermín, R. Ríos, & L.A. Rodríguez, A Robbins Monro algorithm for non- parametric estimation of NAR process with Markov-Switching: consistency. Aceptado en Journal of Time Series Analysis.
  4. H. Han & A. Jiménez, Maximum number of sum-free colorings in finite Abelian Groups. Aceptado en Israel Journal of Mathematics.
  5. I. ArayaC. E. JonesM. CuréJ. SilajL. CidaleA. Granada, & A. Jiménez, Omega-Slow Solutions and Be Star Disks. The Astrophysical Journal, Volumen 846:2, 2017.
  6. J. Garzón, J. León & S. Torre, Fractional stochastic differential equation with discontinuous diffusion. Aceptado en Stochastic Analysis and Applications.
  7. N. Bahamonde, C. Tupor & S. Torre, ARCH model and fractional Brownian motion. Aceptado en Statistics and Probability Letters.
  8. J. Liu, C. Tudor, Stochastic heat equation with fractional Laplacian and fractional noise: existence of the solution and analysis of its density. Acta Math. Sci. Ser. B Engl. Ed. 37, no. 6, 1545–1566.
  9. G. Honorato, Dynamics and Limiting Behavior of Julia sets of König’s method for multiple roots. Aceptado en Topology Appl.


  1. K. Bertin, C. Lacour & V. Rivoirard, Adaptive pointwise estimation of conditional density function, Annales de l’Institut Henri Poincaré – Probabilités et Statistiques.
  2. R. Cortez, Uniform Propagation of Chaos for Kac’s 1D Particle System. Journal of Statistical Physics, Volume 165, Issue 6, pp 1102–1113, doi: 10.1007/s10955-016-1674-x.
  3. L. Fermín & J. Lévy-Véhel, Variability and Singularity Arising From Poor Compliance in a Pharmacokinetic Model II: The Multi-Oral Case. Journal of Mathematical Biology.
  4. L. Fermín, R. Ríos & L. Rodríguez, Modelos de Markov Ocultos, XXIX Escuela Venezolana de Matemáticas, EMALCA–VENEZUELA, pp 1-123. Ediciones IVIC, 2016. ISBN 978-980-261-169-0.
  5. D. Faranda, J-M. Freitas, P. Guiraud & S. Vaienti, Extreme Value Theory for Piecewise Contracting Maps with Randomly Applied Stochastic Perturbations, Stochastics and Dynamics.
  6. D. Faranda, J-M Freitas, P. Guiraud & S. Vaienti, Statistical properties of random dynamical systems with contracting direction, Journal of Physics A: Mathematical and Theoretical.
  7. P. Guiraud, Mapa de Retorno de Redes de Neuronas de Tipo Integración y Disparo. Propiedades de Contracción y Ciclos Límites, “Neurodinámica Determinista”, Barboni, L., Catsigeras E., (editores científicos), pp. 97-121, edición de la Universidad de la República, Montevideo, 2016. ISBN 978-9974-0-1335-3.
  8. E. Catsigeras, P. Guiraud, A. Meyroneinc & E. Ugalde, On the asymptotic properties of piecewise contracting maps, Dynamical Systems.
  9. N. Gozlan, J. Fontbona, & J.-F. Jabir,  A variational approach to some transport inequalities, accepted in Annales de l’Institut Henri Poincaré, 2016.
  10. A. Jiménez, M. Kang & M. Loebl, Cubic Bridgeless Graphs and Braces, Graphs and Combinatorics.
  11. F. Botler &  A. Jiménez, On path decompositions of 2k-regular graphs, accepted in Discrete Mathematics, 2016.
  12. R. de la Cruz, C. Meza, A. Arribas-Gil & R. Carroll, Bayesian Regression Analysis of Data with Random Effects Covariates from Nonlinear Longitudinal Measurements, Journal of Multivariate Analysis.
  13. R. de la Cruz, C. Fuentes, C. Meza & V. Núñez-Antón, Error–Rate Estimation in Discriminant Analysis of Non–Linear Longitudinal Data: A Comparison of Resampling Methods. Statistical Methods in Medical Research.
  14. S. Torres & C. Tudor, The Multifractal Random Walk as pathwise stochastic integral: construction and simulation, Journal of Theoretical Probability.
  15. L. Parra, T.  Baust, A. Smith, J. Jaumotte, M. Zigmond, S. Torres, R. Leak, J. Pino & G. Torres, The Molecular Chaperone Hsc70 Interacts with Tyrosine Hydroxylase to Regulate Enzyme Activity and Synaptic Vesicle Localization, Journal of Biological Chemistry.
  16. M. Barahona, L. Rifo, M. Sepúlveda & S. Torres , A Simulation-Based Study on Bayesian Estimators for the Skew Brownian Motion, Entropy 2016, 18(7), 241; doi:10.3390/e18070241.
  17. S. Robbiano, M. Saumard & M. Curé, Improving prediction performance of stellar parameters using functional models, Journal of Applied Statistics, Volume 43, 2016 – Issue 8.
  18. Karine Bertin, Xavier Collilieux Emilie Lebarbier and Cristian Meza Semi-parametric segmentation of multiple series using a DP-Lasso strategy (2016) Journal of Statistical Computation and Simulation.
  19. C. Lagos, F. Paredes, S. Niklander, E. Cabrera, F. Johnson & J. Vega A Matheuristic Approach Combining Local Search and Mathematical Programming, Vol. 2016, Article ID1506084, Scientific Programming in Computational Intelligence.
  20. G. Cabrera, S. Niklander, E. Cabrera, F. Johnson Solving a Distribution Network Design Problem by means of Evolutionary Algorithms, Studies in Informatics and Control, ISSN 1220-1766, vol. 25(1), pp. 21-28, 2016.
  21. P. Cabrera-Guerrero, A. Molteldo-Perfetti, E. Cabrera, F. Paredes Comparing Two Heuristic Local Search Algorithms for a Complex Routing Problem, Studies in Informatics and Control, ISSN 1220-1766, vol. 25(4), pp. 411-420, 2016.
  22. C. Tudor & M. Zili, SPDE with generalized drift and fractional-type noise, Nonlinear Differ. Equ. Appl. (2016) 23: 53. doi:10.1007/s00030-016-0407-9.
  23. J. Clarke, C. Olivera & C. Tudor, The transport equation and zero quadratic variation processes.  Discrete Contin. Dyn. Syst. Ser. B 21, no. 9, 2991–3002.


  1. F. Botler & A. Jiménez,  On path decompositions of 2k-regular graphs, Electronic Notes in Discrete Mathematics.
  2. G. Honorato & S. Plaza, Dynamical aspects of some convex acceleration methods as purely iterative algorithms for Newton’s maps, Applied Mathematics and Computation.
  3. M. Bossy & J.-F. Jabir, Lagrangian stochastic models with specular boundary condition, Journal of Functional Analysis.
  4. A. Arribas-Gil, R. De la Cruz, E. Lebarbier & C. Meza, Classification of longitudinal data through a semiparametric mixed-effects model based on lasso-type estimators, Biometrics.
  5. V. Leiva, M. Tejo, P. Guiraud, O. Schmachtenberg, P. Orio & F. Marmolejo-Ramos, Modeling neural activity with cumulative damage distributions, Biological Cybernetics.
  6. J-M. Freitas, D. Faranda, P. Guiraud & S. Vaienti, Sampling local properties of attractors via extreme value theory, Chaos, Solitons & Fractals.
  7. P. Andrade, L. Rifo, S. Torres & F. Torres-Avilés Bayesian Inference on the Memory Parameter for Gamma-Modulated Regression Models, Entropy.
  8. F. Johnson, J. Vega , G. Cabrera & E. Cabrera, Ant Colony System for a Problem in Reverse Logistic, Studies in Informatics and Control.
  9. S. Clémencon & S. Robbiano, The TreeRank Tournament algorithm for multipartite ranking, Journal of Nonparametric Statistics.
  10. C. Lagos, F. Paredes, S. Niklander & E. Cabrera, Solving a Distribution Network Design Problem by Combining Ant Colony Systems and Lagrangian Relaxation, Studies in Informatics and Control.


  1. Ana Arribas-Gil, Karine Bertin, Cristian Meza & Vincent Rivoirard, “Lasso-type estimators for Semiparametric Nonlinear Mixed-Effects Models Estimation”. (2014) Statistics and Computing Volume 24, Issue 3 (2014), Page 443-460
  2. Pascual-Marqui, R., Biscay, R. J., Bosch-Bayard, J., Lehmann, D., Kochi1, K., Kinoshita, T., Yamad, N., & Sadato, N. (2014) Assessing direct paths of intracortical causal information flow of oscillatory activity with the isolated effective coherence (iCoh). Frontiers in Human Neuroscience, 8, 1-12.
  3. Karine Bertin, Nicolas Klutchnikoff (2014). Adaptive Estimation of a Density Function Using Beta Kernels. Aceptada en ESAIM, Probability and Statistics. Volume 18, p 400-417.
  4. R. J. Biscay, D. G. Camejo, J. M. Loubes, & L. Muñiz Alvarez (2014). Estimation of covariance functions by a fully data-driven model selection procedure and its application to Kriging spatial interpolation of real rainfall data. Statistical Methods and Applications, 23, 149-174.
  5. Clémencon, S. & Robbiano, S. (2014). Anomaly Ranking as Supervised Bipartitie Ranking. Proceeding of ICLM 2014, 32(1), 343-351.
  6. Frederi Viens, Soledad Torres y Ciprian A. Tudor, “Quadratic variations for the fractional-colored stochastic heat equation.”. Elect. Journ. Probability, 19 (76), 1-51, 2014.
  7. Adrian Saumard, Jon A. Wellner. “Log-concavity and strong log-concavity: a review.”. Statistics Surveys, 8:45–113, 2014.
  8. Roberto D. Pascual-Marquia, Rolando Biscay, Jorge Bosch-Bayardc, Dietrich Lehmanna, Kieko Kochia, Naoto Yamadae, Toshinoko Kinoshitad, Norihiro Sadatoa, Isolated effective coherence (iCoh) based on estimated electric neuronal activity using exact low resolution brain electromagnetic tomography. Clinical Neurophysiology, 125, e43–e48, 2014.
  9. Lagos, C. Crawford, B., Cabrera, E., Soto,R., Rubio,J.  & Paredes, F. “Comparing Evolutionary Strategies on a Biobjetive Cultural Algorithm.” The Scientific World Journal  Vol.2014 (2014) Article ID 745921, 10 pags.
  10. Lagos, C., Crawford, B., Soto,R., Rubio,J., Cabrera, E., & Paredes, F. “Combining Tabu Search and Genetic algorithms to Solve the Capacited Multicommodity Network Flow Problem.” Studies in Informatics and Control Journal (SIC)  Vol. 23 (2014) Issue 3-2014.
  11. A. Jiménez, “ Non-degenerated ground states and low-degenerated excited states in the antiferromagnetic Ising model on triangulations.”. Communications in Mathematical Physics, 326(1), 167-183, 2014.
  12. A. Jiménez, M. Kiwi, “ Computational hardness of enumerating groundstates of the antiferromagnetic Ising model in triangulations.”. Discrete Applied Mathematics, 2014, doi:10.1016/j.dam.2014.10.003.
  13. A. Jiménez, M. Kiwi, “ Antiferromagnetic Ising model in triangulations with applications to counting perfect matchings.”. Discrete Applied Mathematics, 172(0), 45-61, 2014.


  1. J. L. Marroquin, O. Mendoza-Montoya, R. J. Biscay, S. Ruiz-Correa, T. Harmony, T. Fernandez (2013), A maximum linear separation criterion for the analysis of neurophysiological data. Journal of Neuroscience Methods 214 (2013) 233-245.
  2. Honorato, G. (2013), On the Julia set of König’s root-finding algorithms. Proc. Amer. Math. Soc. 141 (2013), 3601-3607.
  3. Bossy, M., Fontbona, J., Jabin P.-E. & Jabir, J.-F. (2013), Local existence of analytical solutions to an incompressible Lagrangian stochastic model in a periodic domain. Communications in Partial Differential Equations, vol. 38 (7), pp. 1141-1182.
  4. Bertin, K., Leiva, V., Marchant, C., Saulo, H., 2013. Generalized Birnbaum-Saunders kernel density estimators and an analysis of financial data. Computational Statistics and Data Analysis 63:1-15.
  5. Rifo L., Torres S., Tudor C. (2013) Comparative Estimation for Discrete Fractional Ornstein-Uhlenbeck Process Stochastic Models, Volume 29, Number 3, 3 July 2013 , pp. 291-305(15).
  6. Lejay A., Mordecki E., Torres S., (2013) Is a Brownian motion Skew? To appear Scandinavian Journal of Statistics
  7. Sued M., Torres S., Tudor C., (2013) NONPARAMETRIC REGRESSION WITH NON-GAUSSIAN LONG MEMORY Communications on Stochastic Analysis Vol. 7, No. 2 (2013) 255-273
  8. Aguirre P., Gonzalez E., Torres S. (2013), Stochastic predator-prey model with Allee effect on prey. Nonlinear Analysis Series B: Real World Applications. 14(01):768-799. Indice de impacto: 2.201.
  9. H. de la Cruz, R.J. Biscay, J.C. Jimenez, F. Carbonell (2013). Local Linearization-Runge-Kutta methods: A class of A-stable explicit integrators for dynamical systems. Mathematical and Computer Modelling 57 (3-4), 720–740.
  10. DG Camejo, L. MUñiz Alvarez, RJ BIscay, S. Ruiz-Correa, T. Harmony, T. Fernández. (Aceptado 2013) . Estimation of covariance functions by a fully data driven model selection procedure and its applications to Kriging spatial interpolation of real rainfall data. Aceptado en Statistical Methods and Applications.
  11. Cabrera, G. Miranda, P., Cabrera, E.; Soto, R.; Crawford, B.; Rubio, J.; Paredes, F. (2013) Solving a Novel Inventory Location Model with Stochastic Contraints and (R,s,S) Inventory Control Policy. Mathematical Problems in Engineering. Vol. 2013 (2013), Article ID 670528.
  12. Catsigeras and E., Guiraud P. (2013), Integrate and fire neural networks, piecewise contractive maps and limit cycles, Journal of Mathematical Biology (2013) (DOI) 10.1007/s00285-012-0560-7.
  13. N. Rojas, M. Argentina, E. Tirapegui (2013) A progressive correction to the circular hydraulic jump scaling. (2013) Physics of Fluids.


  1. Aguirre P., Gonzalez E., Torres S. (2013), Stochastic predator-prey model with Allee effect on prey. Nonlinear Analysis Series B: Real World Applications. 14(01):768-799.
  2. Cabrera G., Cabrera E., Soto, R., Rubio, J., Crawford, B., Paredes F.(2012) A Hybrid Approach ofArtificial Bee Algorithm with Linear Programming applied to large-scale Capacited Facility Location Problem. Vol12 ID 954249, 14 DOI 10.1155/2012/954249.
  3. Paula, G.A., Leiva, V. Barros M., Liu, S.(2012) Robust statistical modeling using the Birnbaum- Saunders-t distribution applied to insurance. Applied Stochastic Models in business and Industry. Vol 28:16-34.
  4. Biscay, R. J., Lescornel H. and Loubes, J.-M. (2012) Adaptive Covariance Estimation with model selection. Mathematicals of Methods of Statistics. In press.
  5. De la Cruz, H., Biscay, R. J., Jimenez, J. C., and Carbonell, F. (2012) Local Linearization-Runge Kutta Methods: an approach to construct L-stable explicit schemes for ODEs. Mathematical and Computer Modeling. Vol 21. 283-297.
  6. Garzón J., Torres S., Tudor C. (2012), A strong convergence to the Rosenblatt process. J. Math. Anal. Appl.391 pp. 630–647.
  7. Hernandez, N., Biscay, R. J., Talavera, I. (2012) A non Bayesian predictive approach for statistical calibration. Journal of Statistical Computation and Simulation, 82, pp. 529–45.
  8. Meza, C., Osorio, F. and De la Cruz, R. (2012), Estimation in nonlinear mixed effects models using heavy-tailed distributions. Statistics and computing, vol. 22 (1), pp. 121-139.
  9. Noblin, X., Rojas, N. O., Westbrook, J., Llorens, C., Argentina, M. and Dumais, J. (2012), The fern sporangium: a unique catapult. Science, 335 (6074): 1322.
  10. Copia,J.,Gaete H.,Zuñiga,G.,Hidalgo.M,Cabrera,E. (2012). “Efecto de la radiación ultravioleta B en la producción de polifenoles en la microalga marina Chlorella sp.”. Revista Lat.Am.J.Aquat.Res.,40(1):113-123
  11. Marroquin, J. L., Biscay, R. J., Ruiz-Correa, S.; Alba, A., Ramirez, R., Armony, J. L. (2012) Erratum to: Morphology-Based Hypothesis Testing in Discrete Random Fields: a non-parametric method to address the multiple-comparison problem in neuroimaging. NeuroImage, 59, pp. 3061–3074
  12. Hernandez, N., Biscay, R.J., and Talavera, I. (2012). A non Bayesian predictive approach for functional calibration. In: L. Alvarez, M. Mejail, L. Gomez, and J. Jacobo (Eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. 17th Iberoamerican Congress, CIARP 2012, Lecture Notes in Computer Science, 7441, 781–788. Springer-Verlag Berlin Heidelberg.


  1. Bertin, K., Le Pennec, E. and Rivoirard, V. (2011), Adaptive Dantzig density estimation. Annales de l’institut Poincarre- Probabilites et Statistiques Annales de l’institut Poincarre- Probabilites et Statistiques, 47(1) p.43-74, 2011.
  2. Bertin, K., Torres, S. and Tudor, C. (2011), Drift parameter estimation in fractional diffusions driven by perturbed random walks. Statistics and probability letters 81 pp. 243-249.
  3. Bertin, K., Klutchnikoff, N. (2011), Minimax properties of beta kernel estimators. Journal of statistical planning and inference. 141 (7), pp. 2287-2297.
  4. Bertin, K., Torres, S. and Tudor, C. (2011), Maximum likelihood estimators and random walks in long-memory models. 45(4), p 361-374.5.
  5. N Hernandez, RJ Biscay, N Villa, I Talavera. (2011). A simulation study of Functional Density-Based Inverse Regression (DBIR). Revista Investigacion Operacional 32, pp. 146-159.
  6. Bossy, M. and Jabir, J.-F., (2011), On confined McKean Langevin processes satisfying the mean no-permeability boundary condition. Stochastic Processes and their Applications, Vol. 121 (12), pp. 2751-2775.
  7. Bossy, M., Jabir, J.-F., and Talay, D. (2011), On Conditional McKean Lagrangian stochastic models Probability Theory and Related Fields, Vol. 151, (1-2), pp. 319-351.
  8. Bigot, J., Biscay, R. J., Loubes, J.-M., and Muñiz-Alvarez, L. Group Lasso estimation of high-dimensional covariance matrices. Journal of Machine Learning Research, 12, pp. 3187-3225.
  9. Iglesias, P., San Martín J., Torres, S. and Viens, F. (2011), Option Pricing for Gamma modulated processes. Annals of Finance. Volume 7. N.2 (2011) pp. 199-219.
  10. Martínez M., San Martín J., Torres, S. (2011), Numerical Method for Reflected Backward Stochastic Differential Equations. Stochastic Analysis and Applications Volume 29, Issue 6 (2011) pp. 1008-1032.
  11. Rojas, N. O., Argentina, M., Cerda, E. and Tirapegui E. (2011), Faraday patterns in lubricated thin films. Eur. Phys. J. D 62, pp. 25–31, 2011.
  12. Biscay R. J., Pascual-Marqui R., Lehmann D., Koukkou M., Kochi K., Anderer P., Saletu B., Tanaka H., Hirata K., Roy John E., Prichep L., Kinoshita T. (2011), Assessing interactions in the brain with exact low-resolution electromagnetic tomography (eLORETA). Philosophical Transactions Royal Society A, 369, 3768-3784.
  13. Honorato, G., Plaza S. and Romero, N. (2011), Dynamics of a higher-order family of iterative methods. Journal of Complexity 27, no. 2, 221-229.
  14. Balakrishnan, N.,Gupta, R., Kundu, D., Leiva, V. and Sanhueza, A. (2011), One some mixture models based on Birnbaum-Saunders distributions and associated inference. Journal of statistical Planning and Inference. Vol. 141, Issue 7, pp 2175-2190.
  15. Castillo, N.O., Gomez, H.W., Leiva, V., Sanhueza, A., (2011), On the Fernandez-Steel distribution: Inference and application. Computational Statistics and Data Analysis. 55(11):2951-2961
  16. Vilca, F., Santana, L., Leiva, V., Balakrishnan, N. (2011) Estimation of extreme percentiles in Birnbaum-Saunders distributions. Computational Statistics and Data Analysis. 55(4):1665-1678.
  17. Santana, L., Vilca, F., Leiva, V.,(2011) Influence analysis in skew-Birnbaum-Saunders regression models and applications. Journal of Applied Statistics. 38(8):1633-1649.
  18. Riquelme, M., Leiva, V., Galea, M., Sanhueza, A.,(2011) Influence diagnostics on the coeficient of variation of elliptically contoured distributions. Journal of Applied Statistics 38(3):513-532
  19. Sanhueza, A., Leiva, V., López-Kleine, L., (2011) On the Student-t mixture inverse Gaussian model with an application to protein production. Colombian Journal of Statistics. 34(1):177-195.


  1. Bernardin, F., Bossy, M., Chauvin, C. Jabir, J.-F., and Rousseau, A. (2010), Stochastic Lagrangian method for downscaling problems in computational fluid dynamics. ESAIM: M2AN, Vol. 44, pp. 885–920.
  2. Bigot, J., Biscay, R. J., Loubes, J. M., and Muniz, L. (2010). Nonparametric estimation of covariance functions by model selection. Electronic Journal of Statistics, 4, 822-855.
  3. Bosch-Bayard, J., Riera-Diaz, J.; Biscay-Lirio, R.; Wong, K.F.K.; Galka, A.; Yamashita, O.; Sadato, N.; Kawashima, R.; Aubert-Vazquez, E.; Rodriguez-Rojas, R.; Valdes-Sosa, P., Miwakeichi, F.; Ozaki, T. (2010) Spatio-temporal correlations from fMRI time series based on the NN-ARx model. Journal of Integrative Neuroscience, 9, pp. 381-406.
  4. Carbonell, F. M., Biscay, R. J., and Jimenez J. C. (2010). QR-based methods for computing Lyapunov Exponents of Stochastic Differential quations. International Journal of Numerical Analysis and Modeling, Series B, 1, pp. 147–171.
  5. De la Cruz, H. , Biscay, R. J., Jiménez, J.C., Carbonell, F., and Ozaki, T. (2010). High Order Local Linearization methods: an approach for constructing A-stable high order explicit schemes for stochastic differential equations with additive noise. BIT Numerical Mathematics, 50, pp. 509–539.
  6. Hernandez, N., Biscay, R. J., Villa-Vialaneix, N., and Talavera, I. (2010). A Functional Density-Based Nonparametric Approach for Statistical Calibration. In: I. Bloch and R. M. Cesar, Jr. (Eds.): Science 6419, pp. 450-457. Springer-Verlag.
  7. Meza, C., Osorio, F., Eyheramendy S. and De la Cruz, R. (2010), Exact estimation procedures in a spatial mixed–effects probit model with binary outcomes 2010 Joint Statistical Meetings Proceedings, Section on Statistical Computing, pp. 3629–3638.
  8. San Martín J., Torres S. Numerical methods for BSDE. Encyclopedia of Quantitative Finance, Tomo I, (2010) pp- 145-159.
  9. Rojas, N. O., Argentina, M., Cerda, E. and Tirapegui E. (2010), Inertial Lubrication Theory. Phys. Rev. Lett. 104, 197801–1–4, 2010.


  1. Aspirot, L., Bertin, K. and Perera G. (2009). Asymptotic normality of the Nadaraya-Watson estimator for non-stationary functional data and applications to telecommunications. Journal of non parametric statistics n 21(5), 2009, p 535-551.
  2. Bertin, K and Rivoirard, V. (2009), Maxiset in sup-norm for kernel estimators Test 18(3), 2009, p 475-496.
  3. Hernández, N.,Talavera, I., Biscay, R. J., Porro, D. ,Castro Ferreira M. M. (2009). Support Vector Regression for Functional Data in Multivariate Calibration Problems Analytica Chimica Acta, 642, pp. 110-116.
  4. Meza, C., Jaffrézic, F. and Foulley, J.-L. (2009), Estimation in the probit normal model for binary outcomes using the SAEM algorithm. Computational Statistics and Data Analysis, vol. 53 (4), pp. 1350-1360.
  5. Noblin, X., Rojas, N. O., Westbrook, J., Argentina, M. and Dumais, J. (2009), Biomechanics of fern spores discharge: the sporangium opening. Proceedings of the 6th Plant Biomechanics Conference – Cayenne, Guyane francaise,16–21, 2009.
  6. Rifo, L., Torres, S. (2009), Full Bayesian Analysis for a Class of Jump-Diffusion Models. Communications in Statistics Vol.38, N.8, (2009) pp. 1262-1271.
  7. Rojas, N. O., Argentina, M., Cerda, E. and Tirapegui E. (2009), Nonlinear Faraday Waves at Low Reynolds Numbers. J. Mol. Liqu. 147, 166–169, 2009.
  8. Rojas, N. O., Argentina, M., Cerda, E. and Tirapegui E. (2009), Ondes non linéaires dans l’expérience de Faraday. Proceedings of Rencontre du Non-Linéaire, Paris, 2009.
  9. Torres S., Viens F., Levine M. (2009), Estimators for the long-memory parameter in LARCH models, and fractional Brownian motion. Statistical Inference for Stochastic Processes. Vol.12 N.3 pp. 221-250.
  10. Torres S., Tudor C. (2009), Donsker Type Theorem for the Rosenblatt Process and a Binary Market Model. Stochastic Analysis and Applications. Vol.27 N.3 (2009) pp.555-573.
  11. Guiraud P., Leiva V. and Fierro R. (2009), A Non-central version of the Birnbaum-Saunders distribution: characterization and reliability analysis,IEEE Transactions On Reliability 58 (2009) 152-160.
  12. Sanhueza A., Sen, P.K., Leiva, V.(2009) A robust procedure in nonlinear models for repeated measurements. Communications in Statistics: Theory and Methods. 38:138-155.
  13. Castro-Kuriss, C., Kelmansky, D., Leiva, V. Martínez, E. (2009) A new goodness-of-fit test for censored data with an application in monitoring processes. Communications in Statistics: Simulation and computation. 38(6): 1161-177.


  1. Bertin, K., and Guillaume Lecue (2008) Selection of variables and dimension reduction in high-dimensional non-parametric regression. Electronic Journal of Statistics, Vol. 2, pp. 1224-1241. Enlace.
  2. Bustos, O., Ojeda, S. and Vallejos, R. (2008), Spatial ARMA models and its applications to image analysis. CIMFAV Technical Report No. 2008.02. (26 pages).
  3. Fierro, R., and Torres, S. (2008) A Stochastic scheme of approximation for Ordinary Diferential Equations. Electronic Communications and Probability. Vol. 13 N. 1, pp. 1-9.
  4. Galea, M. and Giménez, P. (2008), Estimation and testing in elliptical functional models. CIMFAV Technical Report No. 2008.01. (16 pages).
  5. Galea, M., Cademartori, D. and Vilca, F. (2008), The sharpe model under t-distributions. CIMFAV Technical Report Computational Statistics and Data Analysis, vol. 53 (4), pp. 1350-1360.
  6. Coutinho, R. Fernandez and, B., Guiraud, P. (2008), Symbolic dynamics of two coupled Lorenz maps: from uncoupled regime to synchronisation, Physica D, 237 (2008) 2444-2462.


  1. Aspirot, L.; Bertin, K. and Perera, G. (2007), Asymptotic normality of the Nadaraya-Watson estimator for non-stationary functional data and applications to telecommunications. CIMFAV Technical Report No. 2007.04. (20 pages). PDF (260 Kb).
  2. Bertin, K. and Rivoirard, V. (2007), Maxiset in sup-norm for kernel estimators. CIMFAV Technical Report No. 2007.03. (18 pages). PDF (481 Kb).
  3. Coutinho, R., Fernandez, B. and Guiraud, P. (2007), Symbolic dynamics of two coupled Lorenz maps: from uncoupled regime to synchronisation. CIMFAV Technical Report No. 2007.06. (29 pages).
  4. Leiva, V., Hernández, H. and Sanhueza, A. (2007), An R package for robust and classical versions of the inverse Gaussian distribution. CIMFAV Technical Report No. 2007.10. (19 pages).
  5. Meza, C., Jaffrézic, F. and Foulley, J. (2007), Estimation in the probit normal model for binary outcomes using the SAEM algorithm. CIMFAV Technical Report No. 2007.09. (18 pages).
  6. Osorio, F., Paula, G. A. and Galea, M. (2007), Robust estimation and influence diagnostics for several measuring devices. CIMFAV Technical Report No. 2007.07. (18 pages).
  7. Rifo, L. L. R. and Torres, S. (2007), Full bayesian analysis for a class of jump-diffusion models. CIMFAV Technical Report No. 2007.05. (11 pages).
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