Research

Preprints

Spherical latent space models for social network analysis.
Hybrid Bayesian Models for Community Detection with Application to a Colombian Conflict Network.
Constructing the Truth: Text Mining and Linguistic Networks in Public Hearings of Case 03 of the Special Jurisdiction for Peace (JEP).
Parapolitics and Roll-Call Voting in Colombia: A Bayesian Euclidean and Spherical Spatial Analysis.
Bayesian Sociality Models: A Scalable and Flexible Alternative for Network Analysis.
Advances in Bayesian Modeling: Applications and Methods.
Analysis of Bipartite Networks in Anime Series: Textual Analysis, Topic Clustering, and Modeling.
Leadership and Engagement Dynamics in Legislative Twitter Networks: Statistical Analysis and Modeling.
Semiparametric Modelling of Cancer Mortality Trends in Colombia.

Online first

1. Sánchez-Gutiérrez, S., Sosa, J. and Luque, C. Influence networks: Bayesian modeling and diffusion. Journal of Applied Statistics. https://doi.org/10.1080/02664763.2025.2519139.
2. Pegueiro, P., Rodríguez, A. and Sosa, J. Stochastic gradient variational Bayes in the stochastic blockmodel. Communications in Statistics - Simulation and Computation. https://doi.org/10.1080/03610918.2025.2479848.
3. Buitrago-Reyes, L. A., Sosa, J. and Melo, O. Conditional relative risk: an association measure for longitudinal data analysis. Communications in Statistics: Case Studies, Data Analysis and Applications. https://doi.org/10.1080/23737484.2025.2543381.

Articles

1. Luque, C. and Sosa, J. (2025). Operationalizing Legislative Bodies: A Methodological and Empirical Perspective with a Bayesian Approach. Journal of the American Statistical Association, 120(549), 572–583.
2. Zhumengmeng J., Sosa, J., Shangchen S. and Betancourt, B. (2025). A Bayesian latent position approach for community detection in single- and multi-layer networks with continuous attributes. Journal of Applied Statistics, 52(8), 1513-1538.
3. Sosa, J., Arévalo-Arévalo, A. F. and Torres-Clavijo, J. P. (2025). International trade network: statistical analysis and modeling. Communications for Statistical Methods and Applications, 32(4), 417-437.
4. Yan, Y., Sosa, J. and Martinez, C. A. (2025). Bayesian Inference of Geometric Brownian Motion: An Extension with Jumps. Model Assited Statistics and Applications, 20(3), 198-207.
5. Carranza-Sánchez J. D. and Sosa J. (2025). Bayesian Cointegrated Panels in Digital Marketing. Model Assisted Statistics and Applications, 20(2), 93-109.
6. Quintero-Martínez, M. A., Sosa, J., Bohorquez, M. and Rentería-Ramos, R. R. (2025). Un enfoque unificado para el estudio de patrones relacionales espacio-temporales. REDES, 37(2), 40-58.
7. Sosa, J. (2024). Building Regression Models with SAS®: A Guide for Data Scientists. The American Statistician, 79(1), 140-141.
8. Sosa, J. (2024). Statistical Theory: A Concise Introduction. The American Statistician, 78(3), 375-375.
9. Sosa, J. and Rodríguez, A. (2024). A Bayesian Approach for De-duplication in the Presence of Relational Data. Journal of Applied Statistics, 51(2), 197-215.
10. Tellez-Piñerez, C., Trujillo, L., Sosa, J. and Gutiérrez-Rojas, A. (2024). Small area estimation using multiple imputation in three-parameter logistic models. Chilean Journal of Statistics, 15(1), 1–26.
11. Luque, C., Agudelo, I., Leal, K. and Sosa, J. (2024). Caracterización del discurso de posesión presidencial e identificación de comunidades políticas en Colombia: Aproximación empírica desde el análisis de redes sociales. REDES, 35(1), 128-150.
12. Luque, C. and Sosa, J. (2024). Bayesian Analysis for Social Science Research. Model Assisted Statistics and Applications, 19(2), 175–187.
13. Luque, C. and Sosa, J. (2023). A Bayesian spatial voting model to characterize the legislative behavior of Colombian Senate 2010-2014. Journal of Applied Statistics, 50(16), 3362-3383.
14. Sosa, J. and Betancourt, B. (2023). Bayesian Inference of Financial Networks. Model Assisted Statistics and Applications, 18(4), 295–310.
15. Sosa, J. and Rodríguez, A. (2023). A Record Linkage Model Incorporating Relational Data. Applied Stochastic Models in Business and Industry, 39(6), 755–771.
16. Betancourt, B., Sosa, J. and Rodríguez, A. (2022). A record linkage prior based on allelic partitions. Computational Statistics & Data Analysis, 177474.
17. Sosa, J. and Betancourt, B. (2022). A Latent Space Model for Multilayer Network Data. Computational Statistics & Data Analysis, 169, 107432.
18. Sosa, J. and Buitrago, L. (2022). Time-Varying Coefficient Model Estimation Through Radial Basis Functions. Journal of Applied Statistics, 40(10), 2510–2534 .
19. Sosa, J. and Buitrago, L. (2022). Illustrating advantages and challenges of Bayesian statistical modelling: An empirical perspective. Model Assisted Statistics and Applications, 17(3), 173–195.
20. Orozco, L., Sanabria, J., Sosa, J., Aristizabal, J. and Lopéz, L. (2022). How IT investments interact with other resources to improve innovation? Journal of Business Research, 144, 358-365.
21. Sosa, J. and Rodríguez, A. (2021). A Latent Space Model for Cognitive Social Structures Data. Social Networks, 65, 85-97.
22. Regueiro, P., Rodríguez, A. and Sosa, J. (2016). Discussion of “Coauthorship and Citation Networks for Statisticians”. The Annals of Applied Statistics, 10(4), 1813-1819.

Journals in Colombia

1. Sosa, J., Martínez, D. and Guerrero, N. (2025). A unified approach to link prediction in collaboration networks. Revista Colombiana de Estadística, 48(2), 115-137.
2. Sosa, J. and Solano-Velásquez, J. D. (2025). Spatial Process Models for Social Network Analysis. Comunicaciones en Estadística, 18(1), 87-101.
3. Sosa, J. and Casadiego-Rincón, E. J. (2025). Generalized Dynamic Coefficient Models forLongitudinal Data Analysis in Health: AnApplication in HIV/AIDS and COVID-19. Comunicaciones en Estadística, 18(1), 103-136.
4. Sosa, J. (2024). Case Study of Bayesian Multiple Linear Regression Using the Boston Housing Dataset. Comunicaciones en Estadística, 17(2), 1-13.
5. Contreras, A. and Sosa, J. (2024). Exploring Social Networks in Academic Statistical Production. Comunicaciones en Estadística, 17(2), 31-61.
6. Sosa, J. (2024). Bayesian Hierarchical Gaussian Process Mixtures for Regression Analysis. Comunicaciones en Estadística, 17(1), 68-80.
7. Sosa, J. (2024). Bayesian Hierarchical Modeling in Linear Regression Settings. Comunicaciones en Estadística, 17(1), 88-115.
8. Valero, J., Sosa, J. and Luque, C. (2023). Bayesian modeling of the political preferences of the Colombian Senate 2006-2010: electoral behavior and parapolitics. Comunicaciones en Estadística, 16(1), 1-32.
9. Sosa, J. (2023). Bayesian Time-Varying Modeling of Time Series Data. Comunicaciones en Estadística, 16(2), 68-88.
10. Sosa, J. (2023). Bayesian Hierarchical Modeling of Spatiotemporal Data. Comunicaciones en Estadística, 16(2), 2-20.
11. Sosa, J. and Aristizabal, J. (2022). Some Developments in Bayesian Hierarchical Linear Regression Modeling. Revista Colombiana de Estadística, 45(2), 231-255.
12. Sosa, J. and Buitrago, L. (2021). A Review on Latent Space Models for Social Networks. Revista Colombiana de Estadística, 44(1), 171-200.
13. Luque, C., Rubiche, J., Galvis, J. and Sosa, J. (2021). Topic modeling to identify patterns in Covid-19 scientific research. Comunicaciones en Estadística, 14(2), 48-66.
14. Sosa, J. and Díaz, L. (2012). Random Time-Varying Coefficient Model Estimation through Radial Basis Functions. Revista Colombiana de Estadística, 35(1), 167-184.
15. Sosa, J. and Díaz, L. (2010). Time-Varying Coefficient Model Component Estimation Through Generalized Estimation Equations. Revista Colombiana de Estadística, 33(1), 89-109.

Book chapters

Caro-Vargas, S., Martínez Cleves, M., Trejos-Mateus, F. D., Sosa, J. , and López-Torrijos Flórez , F. (2022). Determinantes de la inversión extranjera directa india. In S. Caro Vargas & C. A. Restrepo Rivillas (Eds). Atracción de inversión extranjera directa desde países emergentes (pp. 53-94). Universidad Externado de Colombia. ISBN: 978-958-790-927-2.
Álvarez, N., Gutiérrez, R. and Sosa, J. (2021). La ciberseguridad y los modelos estadísticos bayesianos al servicio de los nativos digitales, alertas ante invitaciones sospechosas en las redes sociales. In J. M. Moreno & R. B. Gutiérrez (Eds.). Seguridad en la administración y calidad de los datos: Estudio de casos por contextos (pp. 83-95). Bogotá, Colombia: Ediciones de la U. ISBN: 978-958-792-317-9.

Book

Sosa, J., Ospina, L. E. and Berdugo, E. P. (2013). Estadística descriptiva y probabilidades. Universidad Externado de Colombia. ISBN/ISSN: 978-958-772-070-9.

Thesis work

Sosa, J. (2017). A Latent Space Model Approach for Cognitive Social Structures Modeling and Graphical Record Linkage. PhD thesis. University of California, Santa Cruz.
Sosa, J. (2009). Development of a time-varying coefficient model for the analysis of longitudinal data. Master thesis. Universidad Nacional de Colombia.
Sosa J. (2006). Comparison of two nonparametric tests based on ranks to detect randomness against first order autocorrelation. Bacherlor Thesis. Universidad Nacional de Colombia.

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