PUBLICACIONES
2023:
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.
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/
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/
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/
2022:
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.
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/
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.
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/
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.
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.
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/
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.
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.
2019:
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.
, , , , and , A method to deconvolve stellar rotational velocities III. The probability distribution function via maximum likelihood utilizing finite distribution mixtures. A&A 623, A138.
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.