Research Interests

    Time series analysis, matrix and tensor factor models, high-dimensional statistics, and structured dependence, with flexible applications across diverse scientific domains.

Refereed Journal Publications

  • Bolívar, S., Huang, S., and Chen, R. (2025). Analysis of Tensor Time Series. Annual Review of Statistics and Its Application (Accepted: May 9, 2025).
  • Gutiérrez‑Gómez, M.-L., Ruíz, Z., Gamboa, F., Roa, N. S., Cardozo, C., Ariza, B., Aristizábal, A., Lugo, A., Bolívar, S., Henao, D., and García‑Robayo, D.-A. (2024). SARS‑CoV‑2 diagnosis in saliva samples: Usefulness and limitations. Diagnostic Microbiology & Infectious Disease, 109(3), 116320.
  • Mejía, G., Montoya, C., Bolívar, S., and Rossit, D. (2022). Job shop rescheduling with rework and re-conditioning in Industry 4.0: An event-driven approach. The International Journal of Advanced Manufacturing Technology, 119(5), 3729–3745.
  • Bolívar, S., Nieto, F. H., and Peña, D. (2021). On a new procedure for identifying a dynamic common factor model. Revista Colombiana de Estadística, 44(1), 1–21.
  • Meléndez, R., Bolívar, S., and Rojano, R. (2020). Imputation of missing values and detection of outliers in functional data: An application with PM10 data. UIS Ingenierías, Universidad Industrial de Santander, 19(1), 1–10.
  • Otero, R., Bolívar, S., and Palacios, J. (2016). Retention analysis of engineering students based on consecutive course failure: A Markov Chain Approach. Ingeniería Industrial: Actualidad y Nuevas Tendencias, 16(1), 7–18.
  • Otero, R., Bolívar, S., and Rincón, N. (2016). Comparison through in-store picking of two delivery alternatives in a supermarket home delivery environment. Cuadernos de Contabilidad, 17(1), 575–594.

Submitted Manuscripts

  • Chen, B., Chen, E., Bolívar, S., and Chen, R. (2025). Time-Varying Matrix Factor Models. Under review.
  • Bolívar, S., Chen, R., and Han, Y. (2025). Threshold Tensor Factor Models in CP Form. Under review.

Working Papers

  • Bolívar, S., Peña, D., and Chen, R. Tensor Factor Models with Main and Interaction Effects.
  • Bolívar, S., Xiao, H., and Zhang, C.-H. Matrix-Dependent Multivariate Regression with Low-Rank Matrix Coefficients: A Regressor-Rotation Approach.

Conference Proceedings / Book Chapters

  • Nieto, F., Peña, D., and Bolívar, S. (2021). "Analysis of Seasonal Common Factors in Big Data." In: Econometric Analysis and Big Data, Fundación de las Cajas de Ahorros (FUNCAS), 2021. Link