PUBLICACIONES
2026:
Acosta, J., Carrasco, S., Silva, J., Cisternas, P., Díaz, C., Colicheo, A., & Pino-Cortés, E. (2026). The Mahalanobis Distance as a Multivariate Performance Metric for Selecting Physics Parameterizations in Meteorological Simulations. Atmosphere, 17(9), 827.
Barriga-Gallegos, F., Ríos-Vásquez, G., de la Fuente-Mella, H., Ulloa Catalán, K., & Febré Vergara, N. (2026). Enhancing clinical reliability in pressure injury prediction: A conformal prediction approach with machine learning models. Digital Health, 12, 20552076261450867.
Barriga-Gallegos, F., Ríos-Vásquez, G., Figueroa-Torrez, P., de la Fuente-Mella, H., Garrido, C. A., & Febré Vergara, N. (2026). Pressure Injury Risk Assessment in Nursing Practice: A Head-to-Head Comparison of the Braden Scale and Machine Learning Models. Journal of Clinical Medicine, 15(12), 4683.
Flores-Olave, J., Khan, H. A., Pérez, I., Pacheco, J., Cares, J., Araya-Riquelme, C., … & Lobos, G. A. (2026). Diurnal and Phenological Modulation of Canopy Temperature in Wheat Breeding Under Mediterranean Conditions. Plants, 15(5), 797.
Maluenda‐Gatica, R., Araya, C., Morán‐Kneer, J., Ríos, U., Moritz, S., & MacBeth, A. (2026). The Mentalisation Switch: Therapist Reflective Capacity and Alliance Dynamics in Digital MCT+ for Bipolar Disorder—A Longitudinal Quantitative Case Series. Clinical Psychology & Psychotherapy, 33(2), e70260.
Otarola, L. L., Basso, F., Pezoa, R., Quilodran, P., Varas, M., & de la Fuente‐Mella, H. (2026). From grapes to market: a systematic review of optimization model applications for supporting decision‐making in the wine supply chain. International Transactions in Operational Research.
Otarola, L. L., de la Fuente-Mella, H., Domarchi, A. P., Navarro, M. M., & Ceroni, J. (2026). Predicting filtration clogging behavior using machine learning and physicochemical parameters in final wine filtration processes. Separation and Purification Technology, 137628.
Ríos-Vásquez, G., de la Fuente-Mella, H., & Ceroni-Díaz, J. (2026). A comprehensive bibliometric analysis of the intersection between quality of life, technical efficiency, and the role of local governments in enhancing urban well-being and public sector performance. Quality & Quantity, 60(1), 1789-1820.
Rojas, E. V., Maulén, A., Toro-Ibacache, V., & Videla-Jimenez, P. (2026). Modelos Análogos, Entornos Virtuales y Microscopía: Una Triada Pedagógica para la Enseñanza de la Histología. International Journal of Morphology, 44(2), 638-644.
Rubilar-Torrealba, R., Chahuán-Jiménez, K., Fuente-Mella, H. D. L., Galaz, M., & Astorga, J. (2026). Fractional Tail-Event Timing Diagnostics: Extreme Value Theory Severity, Mittag-Leffler Recurrence, and Stress Episodes. Mathematics, 14(18), 3248.
Ruz, F., Zelada-Alzamora, B., Andrade-Avila, F., & Araya, C. (2026). Statistics anxiety as an individual difference in university education with validation of the SAS and evidence from a pre–post study. Personality and Individual Differences, 262, 113986.
Videla, M. V. M., Perdomo-Díaz, J., Giaconi, V., & Ruz, F. (2026). Profiles of Pre-service Secondary Mathematics Teachers’ Self-perceptions of Professional Competencies and the Opportunities for Development. Mathematics Teacher Education and Development, 28(1), 1.
2025:
Bahamonde, N., Bardet, J. M., Bertin, K., Doukhan, P., & Maddanu, F. (2025). An irregularly spaced ARMA (1, 1) model and an application to contamination data. Statistics, 59(1), 113-135.
Cuevas, I., Narbona, M. V., de la Fuente Mella, H., & González, A. (2025). Desarrollo psicomotor de niños y niñas prematuros (as) por síndromes hipertensivos del embarazo y por otras causas. Retos: nuevas tendencias en educación física, deporte y recreación, (64), 123-136.
Flández, S., Rubilar-Torrealba, R., Chahuán-Jiménez, K., de la Fuente-Mella, H., & Elórtegui-Gómez, C. (2025). Black–Litterman Portfolio Optimization with Dynamic CAPM via ABC-MCMC. Mathematics, 13(20), 3265.
Gana, B., Allende-Cid, H., Rüping, S., Becerra-Rozas, M., & Zamora, J. (2025). A systematic review of long document summarization methods: Evaluation metrics and approaches. Neurocomputing, 131287.
González-Rojas, A., de la Fuente-Mella, H., Parra, S., Cancino-Haas, F., Coiro-Nicolas, C., Godoy-Saavedra, J., … & Bravo, M. A. (2025). Assessing the Impact of Exposure to PM2. 5 Air Pollution on the Academic Performance of Schoolchildren in Chile. Applied Sciences, 15(10), 5474.
Khardani, S., Raïssi, H., & Villegas, C. (2025). GARCH based value-at-risk assessment when the observed process is iid. Communications in Statistics-Simulation and Computation, 54(11), 4944-4948.
Lay-Raby, N., Cea-Gonzalez, P., De la Fuente-Mella, H., & Ríos-Vásquez, G. (2025). Exploring job satisfaction in the platform economy: A multidimensional study of mobile digital platform workers in Chile. Sustainability, 17(2), 532.
Lay-Raby, N., de la Fuente-Mella, H., Espinosa-Cristia, J. F., & Ríos-Vásquez, G. (2025). Uneven Grounds: Class, Gender, and the Social Distribution of Work Flexibility. Societies, 15(10), 286.
Lillo Otarola, L., de la Fuente-Mella, H., Peña Domarchi, A., Kundu, A., & Ceroni-Díaz, J. (2025). Optimal scheduling of the wine-bottling process: A multi-dependency model with hydraulic considerations. Applied Sciences, 15(9), 4697.
Otarola, L. L., de la Fuente-Mella, H., & Díaz, J. C. (2025). A novel operational filtration index to support decision-making in wine bottling. Separation and Purification Technology, 377, 134027.
Otarola, L. L., de la Fuente-Mella, H., Díaz, J. C., & Navarro, M. M. (2025). Multi-objective optimization for pressure hold integrity testing of membrane filters in wine bottling. Measurement, 119351.
Patilea, V., & Raïssi, H. (2024). Powers Correlation Analysis of Returns with a Non-stationary Zero-Process. Journal of Financial Econometrics, 22(5), 1345-1371.
Ríos-Vásquez, G., De La Fuente-Mella, H., & Ceroni-Díaz, J. (2025). Group-specific SVM with bilevel programming methods for parameter optimization and explainable AI in urban quality of life prediction. IEEE Access, 13, 130475-130491.
Videla-Jiménez, P., Ruz, F., & López-Martín, M. D. M. (2025). Research on box plot knowledge in statistical education: a systematic review of the literature: P. Videla‑Jiménez et al. European Journal of Psychology of Education, 40(4), 141.
2024:
Aguilera Cortés, C., Aroca Toloza, C., de la Fuente-Mella, H., & Lay Raby, N. D. (2024). Percepciones del profesorado de educación artística evaluando creatividad en artes visuales en estudiantes de sexto grado de primaria Valparaíso-Chile. Revista enfoques educacionales, 20(2), 105-129.
Campos, S., Zamora, J., Allende, H., & Alzheimer’s Disease Neuroimaging Initiative. (2024). Block-wise imputation EM algorithm in multi-source scenario: ADNI case. Pattern Analysis and Applications, 27(2), 44.
Gana, B., Figueroa, A., Allende-Cid, H., Nand, P., Zamora, J., & Ramos, A. (2024). Patient Mortality Prediction Using Clinical Notes. In International Conference on Neural Information Processing (pp. 62-76). Singapore: Springer Nature Singapore.
Lillo Otarola, L., de la Fuente-Mella, H., & Ceroni-Díaz, J. (2024). Introducing a Breakthrough Constant Pressure System: Transforming the Measurement of Clogging Potential in Wine Filtration. Applied Sciences, 14(24), 11640.
Parra, S., de la Fuente-Mella, H., González-Rojas, A., & Bravo, M. A. (2024). Exposure to environmental pollution in schools of Puchuncaví, Chile: Characterization of heavy metals, health risk assessment, and effects on children’s academic performance. Sustainability, 16(6), 2518.
Patilea and Raïssi « Powers correlation analysis of returns with a nonstationary zero-process» Journal of Financial Econometrics 22, 1345-1371, 2024.
Quiñones, D., Ruz, F., Díaz-Arancibia, J., Paz, F., Osega, J., & Rojas, L. F. (2024). Innovating statistics education: The design of a novel app using design thinking. Applied Sciences, 14(18), 8515.
Raïssi, H. (2024). On the correlation analysis of stocks with zero returns. Canadian Journal of Statistics, 52(2), 597-617.
Raïssi, H. (2024). On the dependence structure of the trade/no trade sequence of illiquid assets. Communications in Statistics-Theory and Methods, 53(8), 2715-2729.
Ramos, A., Zamora, J., & Allende-Cid, H. (2024). Senti-sequence: learning to represent texts for sentiment polarity classification. Applied Sciences, 14(3), 1033.
Ramos Magna, A., Zamora, J., & Allende-Cid, H. (2024). Senti-Sequence: Learning to Represent Texts for Sentiment Polarity Classification. Applied Sciences, 14(3), 1033.
Rubilar-Torrealba, R., Chahuán-Jiménez, K., de la Fuente-Mella, H., & Elórtegui-Gómez, C. (2024). Bayesian Approach to Stochastic Estimation of Population Survival Curves in Chile Using ABC Techniques and Its Impact over Social Structures. Computation, 12(8), 154.
2023:
H. Raissi and V. Patilea (2023). Orthogonal impulse responses analysis in presence of time-varying covariance. Research Papers in Statistical Inference for Time Series and Related Models, Liu et al (eds.), Springer.
H. Raissi and V. Patilea (2023+). Powers correlation analysis of returns with a nonstationary zero-process. Journal of Financial Econometrics, to appear.
H. Raissi (2023+). On the correlation analysis of stocks with zero returns. The Canadian Journal of Statistic/La Revue Canadienne de Statistique, to appear.
H. Raissi (2023+). On the dependence structure of the trade/no trade sequence of illiquid assets. Communications in Statistics-Theory and Methods, to appear.
Bizet, V., Molina-Portillo, E., Ruz, F. y Contreras, J. M. (2023). Elaboración de una Guía de Situaciones-Problemas sobre Variable Aleatoria y sus Aplicaciones a partir del Currículo Escolar Chileno. Revista Educación Matemática, 35(1), abril. https://doi.org/10.24844/EM3501.07
Martínez, F., Ruz, F., Molina-Portillo, E. y Contreras, J. M. (2023). Análisis de errores de estudiantes al interpretar noticias sesgadas con gráficos. Revista Fuentes, 25(1), 111–125. https://doi.org/10.12795/revistafuentes.2023.22052
Molina-Portillo, E., Contreras García, J. M., Ruz, F. y Contreras, J. (2023). Análisis de la transnumeración como evidencia de la alfabetización estadística en futuros profesores de Educación Primaria. Profesorado, Revista De Currículum y Formación Del Profesorado, 27(1), 277–300. https://doi.org/10.30827/profesorado.v27i1.21488
Juan Zamora and Jérémie Sublime. 2023. “An Ensemble and Multi-View Clustering Method Based on Kolmogorov Complexity” Entropy 25, no. 2: 371. https://doi.org/10.3390/e25020371
Ruz, F., Berciano, A., Martínez-Ortiz, F. y Contreras, J.M. (2023). Perspectiva de género en actitudes hacia la probabilidad y su enseñanza en futuro profesorado chileno. Educação e Pesquisa, 49, e254527. https://doi.org/10.1590/S1678-4634202349254527es
Ruz, F., M. Ubilla, F. y Giaconi, V. (2023). Characterising the Didactic-Stochastic Knowledge of Future Mathematics Teachers: The Case of Chile. Acta Scientiae, 25(4), 96-132. https://doi.org/10.17648/acta.scientiae.7698
2022:
Faúndez, M.O.; de la Fuente-Mella, H. Data Analysis and Domain Knowledge for Strategic Competencies Using Business Intelligence and Analytics. Mathematics2023, 1
Ibáñez Orellana, R., Zamora Osorio, J., Cisnero Correa, M., & Aguirre Rozas, S. (2022). Análisis automático de la complejidad sintáctica de textos escolares. Círculo de Lingüística Aplicada a la Comunicación, 91, 127-142. https://doi.org/10.5209/clac.79977
de la Fuente-Mella, Hanns, Ricardo Campos-Espinoza, Nelson Lay-Raby, Omar Lamelés-Corvalán, Mario Pino-Moya, and Reynier Ramírez-Molina. 2022. “Multinomial Cross-Sectional Regression Models to Estimate and Predict the Determinants of Academic Performance: The Case of Auditor Accountant of the Pontifical Catholic University of Valparaíso” Sustainability 14, no. 15: 9232. https://doi.org/10.3390/su14159232
Mauricio Olivares Faúndez; Hanns de la Fuente-Mella. 2022. “Skills Measurement Strategic Leadership Based on Knowledge Analytics Management through the Design of an Instrument for Business Managers of Chilean Companies.” Sustainability 14, no. 15: 9299.
Merino, Cristian, Catalina Iturbe-Sarunic, Brant G. Miller, Christine E. Parent, John G. Phillips, Sonia Pino, José Miguel Garrido, Andoni Arenas, Juan Zamora. ‘Snailed It! Inside the Shell: Using Augmented Reality as a Window Into Biodiversity’. Frontiers in Education 7 (2022). https://doi.org/10.3389/feduc.2022.933436.
Ruz, F., Chance, B. L. y Contreras, J. M. (2022). Exploring How Chilean Pre-service Teachers’ Attitudes Towards Stochastics Vary by Content Topic. International Journal of Science and Mathematics Education, 20, 1767-1789. https://doi.org/10.1007/s10763-021-10235-5
Ruz, F., Molina-Portillo, E. y Contreras, J.M. (2022). Escala de actitudes hacia la estadística descriptiva y su enseñanza para profesores de matemáticas. Profesorado, Revista de Currículum y Formación del Profesorado, 26 (1), 107-126. https://doi.org/10.30827/profesorado.v26i1.9470
Vizet, V., Molina-Portillo, E., Ruz, F. y Contreras, J.M. (2022). What does the research tell us about the understanding of the random variables and its probability distributions?. Boletín de Estadística e Investigación Operativa (BEIO), 38(3), 186-207.
2021:
Ruiz-Reyes, K., Ruz, F., Molina-Portillo, E. y Contreras, J. M. (2021). Conocimiento sobre el muestreo en estudiantes chilenos al término de la educación escolar. Revista Chilena de Educación Matemática, 13(4), 162-170. https://doi.org/10.46219/rechiem.v13i4.79
Ramos-Rodríguez, E., Vásquez, C., Valenzuela Molina, M. y Ruz, F. (2021). Building a Model for Observing the Educational Practice of Mathematics Teachers. Mathematics, 9, 3304. https://doi.org/10.3390/math9243304
Contreras, J.M., Martínez, F., Ruz, F.y Molina-Portillo, E. (2021). Disposiciones de ciudadanos españoles ante noticias con gráficos relacionados con la COVID-19. Sociology and Technoscience Journal, 11(2), 196-212.
Christen, M. A. Maulén-Yañez, E. Gonzalez-Olivares, Y. Valencia, D. F.Rial, M. Curé. Linear incidence rate: Its influence on the asymptotic behavior of a stochastic epidemic model. Math Meth Appl Sci. 2021;44:12391–12407.
Santana, A., Ibañez, R., Moncada, F. and Zamora, J. Causal connective expressions in textbooks written in Spanish: A comparative study of four primary school subjects. Journal of Pragmatics, 182, 104-117.
I. Araya, A. Christen, M. Curé, L S Cidale, R. O. J. Venero, C. Arcos, A. C. Gormaz-Matamala, M. Haucke, P. Escárate, H. Clavería. Analytical solutions for radiation-driven winds in massive stars – II. The δ-slow regime. In Monthly Notices of the Royal Astronomical Society, Volume 504, Issue 2, June 2021, Pages 2550–2556.
Héctor Araya; Natalia Bahamonde; Tania Roa y Soledad Torres. “Parameter estimation for a discrete time model driven by fractional Poisson process”. Communications in Statistics – Theory and Methods. Aceptada.
Héctor Araya; Natalia Bahamonde; Lisandro Fermín; Tania Roa y Soledad Torres. “On the Consistency of Least Squares Estimator in Models Sampled at Random Times Driven by Long Memory Noise: The Jittered Case” . Statistica Sinica. Aceptada.
Héctor Araya; Natalia Bahamonde; Lisandro Fermín; Tania Roa y Soledad Torres. “On the Consistency of the Least Squares Estimator in Models Sampled At Random Times Driven By Long Memory Noise: The Renewal Case”. Statistica Sinica. Aceptada.
2020:
Juan Zamora and Jérémie Sublime: A new Information theory based clustering fusion method for multi-view representations of text documents. In HCII 2020, Copenhagen, Denmark.
Hirukawa, J. and Raïssi, H., Testing linear relationships between non-constant variances of economic variables. Economic Modelling 90, 182-189.
2019:
Caceres, G. , Feigelson, E., Jogesh Babu, G., Bahamonde, N., Christen, A., Bertin, K., Meza, C., Curé, M., Autoregressive Planet Search: Methodology. Astron. J. 158, #57.
Caceres, G. , Feigelson, E., Jogesh Babu, G., Bahamonde, N., Christen, A., Bertin, K., Meza, C., Curé, M., Autoregressive Planet Search: Application to the Kepler Mission. Astron. J. 158, #58.
Ben Hajria, R., Khardani, S., and Raïssi, H., Testing for abrupt breaks in variance structures with smooth changes. Communications in Statistics-Theory and methods, 48, 5195-5212.
Gonzalez, W., Meeder, W., Videla, P. and Maulen, M., Assessment of association between muscular diagnosis in TMD with mandibular kinematics, aceptado en CRANIO: The Journal of Craniomandibular & Sleep Practice 37, 365-373.
Allende-Cid, H., Zamora, J., Alfaro-Faccio, P., Alonso-Sánchez, M.F., A Machine Learning Approach for the Automatic Classification of Schizophrenic Discourse. IEEE Access, 7:45544-45553.
Héctor Araya; Natalia Bahamonde; SoledadTorres and Frederi Viens, Donsker type theorem for fractional Poisson process,
Statistics & Probability Letters, volume 150, July, Pages 1-8.
Orellana, P. Escárate, M. Curé, A. Christen, R. Carvajal and J. C. Agüero, A method to deconvolve stellar rotational velocities III. The probability distribution function via maximum likelihood utilizing finite distribution mixtures. A&A 623, A138.
J. Zamora, H. Allende-Cid and M. Mendoza, “Distributed Clustering of Text Collections,” in IEEE Access, vol. 7, pp. 155671-155685, 2019, doi: 10.1109/ACCESS.2019.2949455.
2018:
A.Christen, M. A. Maulén-Yañez, E. Gonzalez-Olivares, M. Curé. A stochastic disease transmission in an epidemic model considering a hyperbolic incidence rate. J. Math. Biol. 76:1005–1026.
Ben Hajria, R., Khardani, S., and Raïssi, H., A power comparison between autocorrelation based tests. Statistics and Probability Letters 143, 1-6.
Acosta, J., Vallejos, R., Effective Sample Size for Spatial Regression Models, Electronic Journal of Statistics, 12, 3147-3180.
Britton, T., Deijfen, M., and Lopes, F., A spatial epidemic model with site contamination, Markov Processes and Related Fields, 24, 25-38.
Acosta, J., Vallejos, R. and Griffith, D., On the effective geographic sample size, Journal of Statistical Computation and Simulation, 88, 1958-1975.
Vallejo-Reyes, F.A., Mena Campbell, J.I., Lochbaum, M.R., Duclos-Bastías, D.M., Guerrero-Santana, I., and Carrasco-Beltrán, H.J., Adaptación y validez de la escala de motivación en el deporte 2 (EMD-2) para estudiantes universitarios chilenos. Cuadernos de Psicología del Deporte 18, 63-74.
Raïssi, H., Testing normality for unconditionally heteroscedastic macroeconomic variables. Economic Modelling 70, 140-146.
Bahamonde, N., Torres, S., and Tudor, C., ARCH model and fractional Brownian motion. Statistics and Probability Letters 134, 70-78.
2017:
Bardet,J.B., Christen, A., Fontbona, J., Quantitative exponential bounds for the renewal theorem with spread-out distributions. Markov Processes and Related Fields 23, 67-86.
De la Cruz, R., Fuentes, C., Meza, C., Lee, D.-J., and Arribas-Gil, A., Predicting pregnancy outcomes using longitudinal information: a penalized splines mixed-effects model approach. Statistics in Medicine 36, 2120-2134.
René Ruby-Figueroa, Jorge Saavedra, Natalia Bahamonde and Alfredo Cassano ‘Permeate flux prediction in the ultrafiltration of fruit juices by ARIMA models”, Journal of Membrane Science, Volume 524, 108-116.
Crudu, Federico, Sandor, Zsolt “On the finite-sample properties of conditional empirical likelihood estimators”, COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, Volume 46, 1520-1545.
2016:
Christen, A., Escaráte, P., Curé, M., Rial, D.F. and Cassetti, J., A method to deconvolve stellar rotational velocities II. The PDF via Tikhonov regularization. A&A 595, A50.
Bahamonde, N. and Doukhan, P., Spectral estimation in the presence of missing data.Theory of Probability and Mathematical Statistics 95, 59-79.
Bahamonde, N. and Veiga, H., A robust closed-form estimator for GARCH(1,1) model. Journal of Statistical Computation and Simulation, Volume 86, Issue 8, 1605-1619.
De la Cruz, R., Arribas-Gil, A., Meza, C. and Carroll, R.J., Bayesian regression analysis of data with random effects covariates from nonlinear longitudinal measurements. Journal of Multivariate Analysis 143, 94-106.
Patilea, V., Sánchez-Sellero, C. and Saumard, M., Testing the predictor effect on a functional response. Journal of the Americam Statistical Association 111, 1684-1695.
Robbiano, S., Saumard, M. and Michel Curé, M., Improving prediction performance of stellar parameters using functional models. Journal of Applied Statistics 43, 1465-1476.
Acosta, J., Vallejos, R. and Osorio, F., Effective sample size for line transect sampling models with an application to marine macroalgae. Journal of Agricultural Biogical and Environmental Statistics 21, 407-425.
Acevedo, C., Creixell, W., Sánchez, E., Tomic, G., Santander, R., Osorio, F., A chemometrics approach to analyze volatile molecules released by post-mortem bovine fast-twitch muscles. Cyta-Journal of Food 14, 399-404.
Pablo CABRERA-GUERRERO, Andrés MOLTEDO-PERFETTI, Enrique CABRERA, Fernando 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.
2015:
Curé, D. F. Rial, J. Cassetti, A. Christen and Henri M.J. Boffin, A method to deconvolve mass ratio distribution from binary stars. Astronomy and Astrophysics, A&A 573, A86, 2015.
Figueroa, R.B., Saavedra, J., Bahamonde, N. and Cassano, A.,Permeate flux prediction in the ultrafiltration of fruit juices by ARIMA models. Journal of Membrane Science 524, 108-116.
Boubacar Maïnassara, Y. and Raïssi, H., Semi-strong linearity test- ing in linear models with dependent but uncorrelated errors. Statistics and Probability Letters 103, 110-115.
Raïssi, H., Autoregressive order identification for VAR models with non- constant variance. Communications in Statistics-Theory and Methods 44, 2059-2078.
Arribas-Gil, A. De la Cruz, R., Meza, C. and Lebarbier, E., Classification of longitudinal data through a semiparametric mixed-effects models based on Lasso-type estimators. Biometrics 71, 333-343.
Bevilacqua, M., Federico Crudu, F. and Porcu, E., Combining Euclidean and composite likelihood for binary spatial data estimation. Stochastic Environmental Research and Risk Assessment 29, 335-346.
Bekker, P. A. and Crudu, F., Jackknife instrumental variable estimation with heteroskedasticity. Journal of Econometrics 185, 332-342.
2014:
Curé, M., Rial, D.F., Christen, A. and Cassetti, J., A method to deconvolve stellar rotational velocities. A&A (Astronomy and Astrophysics) 565, A85.
2013:
Bardet, J.B., Christen, A., Guillin, A. and Malrieu, F., Zitt, P.A. Total variation estimates for the TCP process. Electronic Journal of Probability 18, nro 10, 1-21.
Ossandón, S. and Bahamonde, N., A New Nonlinear Formulation for GARCH Models. Comptes rendus de l’Académie des sciences – Mathématique 351, 235-239.
2012:
Bahamonde, N., and Bondon,P., Estimation in ARCH models with missing data. Journal of Time Series Analysis 33, 880-891.
Bahamonde, N. and Sebastián Ossandón, S., Nonlinear Parameter Estimation for State-Space ARCH Models with Missing Observations. Mathematical Models for Engineering Science.
2011:
Bahamonde, N. and Ossandón, S., On the Nonlinear Estimation of GARCH Models Using an Extended Kalman Filter. Lecture Notes in Engineering and Computer Science, 148-151.
2010:
Curé, M., Rivinius, T., Christen and A., Rial, D. F., Spatial distribution of stellar rotational axes of Be stars. Proceedings of the workshop “The Interferometric View on Hot Stars”, held in Viña del Mar, March 2-6, 2009. RevMexAA (Serie de Conferencias), v. 38, 123-124.