Publicaciones

  • Barajas Oviedo, S; Suárez Sierra BM & Ramirez Ramirez, LL (2023) Change Point Detection for Time Dependent Counts Using Extended MDL and Genetic Algorithms. En Tabares, M; Vallejo, P. et al. Advances in Computing: 17th Colombian Conference on Computing, CCC 2023. Revised Selected Papers. pp 215-219. Springer Nature Switzerland. ISBN: 978-3031473715. DOI: https://doi.org/10.1007/978-3-031-47372-2.

  • Akuno, AO; Ramírez-Ramírez, LL & Espinoza, JF (2023). Inference on a Multi-Patch Epidemic Model with Partial Mobility, Residency, and Demography: Case of the 2020 COVID-19 Outbreak in Hermosillo, Mexico. Entropy, 25(7), 968. DOI: https://doi.org/10.1016/j.chaos.2023.113690.

  • Akuno, AO; Ramírez-Ramírez, LL; Mehta, C. Krishnanunni, CG; Tan Bui-Thanh, T & Montoya, JA (2023). Multi-patch epidemic models with partial mobility, residency, and demography. Chaos, Solitons & Fractals 173:113690. DOI: https://doi.org/10.1016/j.chaos.2023.113690.

  • Márquez Urbina, J.; González Farías, G.: Ramírez Ramírez, L.L. y Rodríguez González, D.I. (2022). A multi-source global-local model for epidemic management. PloSOne, 17(1). DOI: https://doi.org/10.1371/journal.pone.0261650.

  • Ramirez Ramirez, L.L.; Lybchich, V. y Gel, Y. (2021) Spatio-Temporal Biosurveillance of Climate Sensitive Mosquito-Borne Diseases Using Online Social Media. Special issue of on spatio-temporal modeling, Journal of the Indian Statistical Association. https://www.indstatassoc.org/journal-jisa/previous-volumes/dec-2021-volume-592.

  • Ávila Ayala, R.M. y Ramirez-Ramirez, L.L. (2020). Direct and Surrogate Likelihood-free Statistical Inference for Epidemiological Model in a Network of Contacts. En: Xu, J., Ahmed, S.E., Cooke, F.L., Duca, G. (Eds.) Proceedings of the Thirteenth International Conference on Management Science and Engineering Management. Volume 1: 457 –469. Springer. Series: Adv. in Intell. Systems and Comp. ISBN: 978-3-030-21254-4;978-3-030-21255-1.

  • Gutierrez-Garcia, J.O.; Gomez de Silva-Garza, A., Ramirez-Ramirez, L.L.; Patiño, R. y Candela, E. (2020). A Decision-Tree Analysis of the Relationship between Social Development and Homicide Rates. En: Xu, J., Ahmed, S.E., Cooke, F.L., Duca, G. (Eds.) Proceedings of the Thirteenth International Conference on Management Science and Engineering Management. Volume 1:665–677. Springer. Series: Adv. in Intell. Systems and Comp. ISBN: 978-3-030-21254-4;978-3-030-21255-1.

  • Piña, C.A. y Ramirez-Ramirez, L.L. (2019). Exploring crime patterns in Mexico City. Journal of Big Data. 6(1), 65. DOI: https://doi.org/10.1186/s40537‑019‑0228‑x.

  • Capistrán, M.A, Christen, J.A., Ramirez-Ramirez, L.L. (2019). On efficient numerical posterior distribution error control in Bayesian Uncertainty Quantification of Inverse Problems. En: Xu, J., Cooke, F.L., Gen, M. and Ahmed, S.E. (Eds.) Proceedings of the Twelfth International Conference on Management Science and Engineering Management. pp. 731–740. Springer, Cham. ISBN 978-3-319-93351-1.

  • Ávila Ayala, R.M., Christen Gracia, J.A., Ramirez Ramirez, L.L. (2017). Inferencia sobre Modelos Epidemiológicos en Redes de Contactos. Memorias del XXXI Foro Internacional de Estadística y del XXXII Foro Nacional de Estadística. Pp. 135 – 148. Asociación Mexicana de Estadistica. INEGI. https://bit.ly/43ogkzU.

  • Gel, Y.R., Lyubchich, V., Ramirez Ramirez, L. L. (2017). Bootstrap quantification of estimation uncertainties in network degree distributions. Scientific Reports 7: 5807. DOI: https://doi.org/10.1038/s41598-017-05885-x.

  • Xu, Q., Gel, Y.R., Ramirez Ramirez. L.L. Nezafati. K.. Zhang. Q. and Tsui, K.-L. (2017) Forecasting influenza in Hong Kong with Google search queries and statistical model fusion. PLoSOne 12(5): e0176690. doi:10.1371/journal.pone.0176690. https://doi.org/10.1371/journal.pone.0176690.

  • Guerrero, V.M., Islas Camargo, A. and Ramirez Ramirez, L.L. (2017) Trend estimation of multivariate time series with controlled smoothness. Communications in Statistics. DOI: https://doi.org/10.1080/03610926.2015.1133826.

  • Gel, Y., Lyubchich, V. and Ramirez Ramirez, L.L. (2016) Fast Patchwork Bootstrap for Quantifying Estimation Uncertainties in Sparse Random Networks. 22th ACM SIGKDD Conference on Knowledge on Data Discovery and Data Mining (KDD) and 12th International Workshop on Mining and Learning with Graphs. https://www.mlgworkshop.org/2016/paper/MLG2016_paper_32.pdf.

  • Thompson, M.E, Ramirez Ramirez, L.L, Lyubchich, V. and Gel, Y.R. (2016) Using the bootstrap for statistical inference on random graphs. The Canadian Journal of Statistics. 44(1): 3–24. doi: 10.1002/cjs.11271. https://www.jstor.org/stable/44708475.

  • Ramírez Ramírez, L.L. and Thompson, M.E. (2014) Applications of the Variance of Final Outbreak Size for Disease Spreading in Networks. Methodology and Computing in Applied Probability. 16(4): 839-862. DOI: https://link.springer.com/article/10.1007/s11009-013-9325-z

  • Ramírez-Ortegón, M.A., Ramírez-Ramírez, L.L., Märgner, V., Messaoud I.B., Cuevas, E. and Rojas, R. (2014) An analysis of the transition proportion for binarization in handwritten historical documents. Pattern Recognition. 47(8), pp 2635-2651. DOI: https://doi.org/10.1016/j.patcog.2014.02.003.

  • Ramírez-Ortegón, M.A, Ramírez-Ramírez, L.L., Ben Messaoud, I., Mägner, I., Cuevas, E. and Rojas, R. (2014) A model for the gray-intensity distribution of historical handwritten documents and its application for binarization. International Journal on Document Analysis and Recognition. 17(2), pp 139-160. DOI: https://doi.org/10.1007/s10032-013-0212-5.

  • Ramírez Ramírez, L.L., Gel. Y., Thompson, M.E., De Villa, E. y McPherson, M. (2013) A new surveillance and spatio-temporal visualization tool SIMID: SIMulation of Infectious Diseases using Random Networks and GIS. Computer Methods and Programs in Biomedicine. 110(3), pp 455-70. DOI: https://doi.org/10.1016/j.cmpb.2013.01.007.

  • Ramírez Ramírez, L.L., Gel, Y. y Ruggeri, F. (2011) Modelos probabilísticos. de predicción para variables atmosféricas usando el método de perturbación geoestadístico y modelos jerárquicos bayesianos de tiempo y espacio. En: Reyes Cervantes, H. J, et al (Eds). Matemáticas, Estadística y Medio Ambiente. Benemérita Universidad Autónoma de Puebla Press, Mexico pp 57-66. ISBN 13: 978-607-487-571-3, ISBN 10: 607-487-571-5. https://rideca.cs.buap.mx/web/files/libro_Wl1beM3ckvwDHRl.pdf.

  • Ramírez-Ortegón, M.A., Tapia, E., Ramírez Ramírez, L. L., Rojas, R. y Cuevas, E. (2010) Transition pixel: A concept for binarization based on edge detection and gray-intensity histograms. Pattern Recognition. 43(4):1233-1243. DOI: https://doi.org/10.1016/j.patcog.2009.11.006.

  • Chávez-Hernández, A.M., Macías-García, L.F., Palatto-Merino, H. y Ramírez, L. (2004) Epidemiología del suicidio en el estado de Guanajuato. Salud Mental. 27(2):15-20.

MANUSCRITO PREPRINTS

  • Ramírez-Ramírez, L. L., Montoya, J. A., Espinoza, J. F., Mehta, C., Akuno, A. O., & Bui-Thanh, T. (2022). Use of mobile phone sensing data to estimate residence and mobility times in urban patches during the COVID-19 epidemic: The case of the 2020 outbreak in Hermosillo, Mexico. arXiv:2212.09963.