Daza-Chaves, H., & Arrieta-Prieto, M. (2026). Análisis de Valor Agregado de la Educación Media en Colombia. REICE. Revista Iberoamericana sobre Calidad, Eficacia y Cambio en Educación, 24(1). 🔗
Quintero, N., & Arrieta-Prieto, M. (2026). To Transform or not to Transform: The Impact of Both Approaches when Predicting wind Power Output as a Percentage of the Installed Capacity. Revista Colombiana de Estadistica, 49(2), 377. 🔗
Oviedo, J. S., & Arrieta-Prieto, M. E. (2026). Estimating the Multidimensional Poverty Index in Bogotá (Colombia) Using Satellite Imagery. Journal of Official Statistics, 0282423X261457240. 🔗
Arrieta-Prieto, M. E. (2026). Assessing wind farm coordination via spatio-temporal dependence networks: predictability, anticipativity, and complementarity. Stochastic Environmental Research and Risk Assessment, 40(9), 224. 🔗
Arrieta-Prieto, M. E. (2025). Optimizing wind farm portfolios: A risk-mitigation approach to strengthen renewable integration and market resilience. Energy Strategy Reviews, 62, 101977. 🔗
Mariño, J. A., Arrieta-Prieto, M. E., & Calderón V, S. A. (2025). Comparison between statistical models and machine learning for forecasting multivariate time series: An empirical approach. Communications in Statistics: Case Studies, Data Analysis and Applications, 11(1), 56-91. 🔗
Gallego, S., Saavedra, A., & Arrieta-Prieto, M. E. (2025). Labor Income Determinants in Colombia: An Approach based on Generalized Additive Models for Location, Scale and Shape (GAMLSS). Revista Colombiana de Estadística, 48(3), 459. 🔗
Arrieta-Prieto, M. & Nieto, F, (2025). Nowcasting the State of the Economy: An Application of Linear Combinations of Dynamic Common Factors to the Colombian Economy. Colombian Journal of Statistics/Revista Colombiana de Estadística, 48(1), 71. 🔗
Arrieta-Prieto, M., & Schell, K. R. (2024). Spatially transferable machine learning wind power prediction models: v− logit random forests. Renewable Energy, 223, 120066. 🔗
Arrieta-Prieto, M. E., & Schell, K. R. (2024). Data-driven optimization for wind farm siting. International Journal of Electrical Power & Energy Systems, 155, 109552. 🔗
Caspersen, E., Arrieta-Prieto, M., & Wang, X. (2023). Latent split of aggregate counts: revealing home deliveries per commodity types and potential freight trip implications. Transportmetrica A: Transport Science, 19(2), 1990438. 🔗
Arrieta‐Prieto, M., Ismael, A., Rivera‐Gonzalez, C., & Mitchell, J. E. (2022). Location of urban micro‐consolidation centers to reduce the social cost of last‐mile deliveries of cargo: A heuristic approach. Networks, 79(3), 292-313. 🔗
Arrieta-Prieto, M., & Schell, K. R. (2022). Spatio-temporal probabilistic forecasting of wind power for multiple farms: A copula-based hybrid model. International Journal of Forecasting, 38(1), 300-320. 🔗
Pérez-Guzmán, S., Wang, C., Conway, A., Arrieta-Prieto, M. E., Ding, Y., Zuman, G. S., ... & Chen, Q. (2022). Methodology for the Feasibility Assessment of an Eco-transfer System. Transportation Research Part A: Policy and Practice, 160, 280-297. 🔗
Title: Assessing Wind Farm Coordination Via Spatio-temporal Dependence Networks: Predictability, Anticipativity, and Complementarity
Event: International Symposium on Forecasting
Organizer and Location: International Institute of Forecasters, Montréal, Canada (June)
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Title: Modeling Hydrological Uncertainty Through Deep Learning: An Empirical Contrast of Bayesian Approaches, MC Dropout And MQloss Under High-Variability Scenarios
Event: XXXV International Symposium of Statistics
Organizer and Location: Universidad Nacional de Colombia, Bogotá, Colombia (July)
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Title (invited): Nowcasting the State of the Economy: An Application of Linear Combinations of Dynamic Common Factors to the Colombian Economy
Event: Macroeconomics Seminar at the Central Bank of Colombia
Organizer and Location: Central Bank of Colombia (Banco de la República), Bogotá, Colombia (September)
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Title (invited): Data-driven Modeling for an Effective Integration of Renewable Energy
Event: Macroeconomics Seminar
Organizer and Location: Universidad Santo Tomás, Bucaramanga, Colombia (October)
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Title (keynote): Data-driven Modeling for an Effective Integration of Renewable Energy
Event: VI International Congress of Basic Sciences and Engineering (CICI 2026)
Organizer and Location: Universidad de Los Llanos, Villavicencio, Colombia (October)
Title: Enhancing Wind Power Prospective Analysis with Probabilistic Predictions of Wind Direction and Speed
Event: International Symposium on Energy Analytics
Organizer and Location: University of North Carolina at Charlotte, Charlotte, North Carolina, USA (April)
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Title: Spatio-temporal Probabilistic Prediction of Circular Variables: Enhancing the Value of Wind Power Prospective Models by Incorporating Wind Direction Probabilistic Predictions
Event: International Symposium on Forecasting
Organizer and Location: International Institute of Forecasters, Beijing, China (June)
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Title: Conformal-Prediction-Based Probabilistic Forecasting for Time Series: Performance Evaluation Against Bootstrapping and DeepAR
Title (invited): Data-driven Modeling for an Effective Integration of Renewable Energy
Event: XXXIV International Symposium of Statistics
Organizer and Location: Universidad Nacional de Colombia, Pasto, Colombia (July)
Title: Spatio-temporal Probabilistic Forecasting of Circular Variables: Enhancing the Value of Wind Power Prospective Models by Incorporating Wind Direction Probabilistic Forecasts
Event: IISE Annual Conference
Organizer and Location: Institute of Industrial and Systems Engineers (IISE), Montréal, Canada (May)
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Title: Data-driven Modeling for Effective Integration of Wind Power
Event: Statistics & Econometrics Seminar
Organizer and Location: Humboldt Universität, Berlin, Germany (June)
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Title: Operational research and statistical modeling for decision making in the context of supply chain management
Event: Internal Seminar as part of the visit funded by DAAD
Organizer and Location: Freie Universität Berlin, Berlin, Germany (June)
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Title: Spatio-temporal Probabilistic Forecasting of Circular Variables: Enhancing the Value of Wind Power Prospective Models by Incorporating Wind Direction Probabilistic Forecasts
Event: International Symposium on Forecasting
Organizer and Location: International Institute of Forecasters, Dijon, France (July)
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Title: Review of Regression Models for Variables with Responses in the Interval [0,1]
Event: XXXIII International Symposium of Statistics
Organizer and Location: Universidad Nacional de Colombia, Cartagena, Colombia (August)
Title: Nowcasting the State of the Economy: An Application of Linear Combinations of Dynamic Common Factors to the Colombian Economy
Event: International Symposium on Forecasting
Organizer and Location: International Institute of Forecasters, Charlottesville, VA, USA (June)
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Title: Data-driven Optimization for Wind Farm Siting
Event: Spatial Statistics Conference
Organizer and Location: Elsevier, Boulder, CO, USA (July)
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Title: An Exploratory and Inferential Study to Determine the Number of Significant Lags in Time Series Using the Xi Association Coefficient
Event: XXXII International Symposium of Statistics
Organizer and Location: Universidad Nacional de Colombia, Ibagué, Colombia (August)
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Title (keynote): Operations Research and Statistical Modeling for Decision-Making in Supply Chains
Event: XII Northeastern Symposium of Mathematics
Organizer and Location: Universidad Industrial de Santander, Bucaramanga, Colombia (December)
Title: Selection of a Linear Combination of Dynamic Common Factors as a Coincident Index: An Application to the Case of the Colombian Economy
Event: Workshop on Dimensionality Reduction and Inference in High-Dimensional Time Series
Organizer and Location: Maastricht University, Maastricht, Netherlands (online participation) (June)
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Title: Use of a Hurdle Model to Estimate Partial Latent Counts When Only Total Counts Are Available
Event: XXXI International Symposium of Statistics
Organizer and Location: Universidad Nacional de Colombia, Manizales, Colombia (August)
Title: Location of Micro-Consolidation Centers to Reduce Social Cost of Deliveries 🔗
Event: Mixed Integer Programming Workshop
Organizer and Location: MIP, online (May 2020)
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Title: Data-driven Optimization for Wind Farm Siting
Event: INFORMS Annual Conference
Organizer and Location: INFORMS, online (September 2020)
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Title: Data-driven Prediction of Power at Wind Farm Level
Event: IISE Annual Conference
Organizer and Location: IISE, online (February 2021)
Title: Applying and Adapting Several ECR Principles to Improve Humanitarian Logistics Performance
Event: International Congress of Industry and Organizations
Organizer and Location: Universidad Nacional de Colombia, Bogotá, Colombia (August 2015)
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Title: The Dilemma of a Representative Sample: Sampling According to a Random Choice or Not?
Event: XXVII International Symposium of Statistics
Organizer and Location: Universidad Nacional de Colombia, Medellín, Colombia (August 2017)
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Title: Bi-level Optimization Method to Minimize Externalities by Means of Eco-transfer Staging Areas in Urban Cores
Event: INFORMS Annual Conference
Organizer and Location: INFORMS, Phoenix, AZ, USA (November 2018)
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Title: Short-term Forecasting of Wind Power Output's Predictive Densities via DVINE Copulas
Event: DTU Summer School on Data-Driven Optimization
Organizer and Location: DTU, Copenhagen, Denmark (May 2019)
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Title: Selection of a Linear Combination of Common Factors as a Coincident Index for the Colombian Economy
Title: A Family of Statistics Created with Ranks and Sequences for the Two-Way Hypothesis Test
Title: Spatio-temporal Forecasting of Very-Short-Term Predictive Densities in the Context of Wind Power Output
Event: XXIX International Symposium of Statistics
Organizer and Location: Universidad Nacional de Colombia, Barranquilla, Colombia (July 2019)
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Title: Spatio-temporal Wind Power Prediction with a Case Study in ERCOT
Event: INFORMS Annual Conference
Organizer and Location: INFORMS, Seattle, WA, USA (October 2019)
(2026 - Patent application pending) Arrieta-Prieto, M., and Schell, K. R. "Spatio-temporal forecasting of very-short term predictive densities in the context of power output." U.S. Patent Application No. 19/210,355. 🔗
(2022 - Patent application granted) Arrieta-Prieto, M., and Schell, K. R. "Spatio-temporal probabilistic forecasting of wind power output." U.S. Patent Application No. 17/642,787. 🔗
(2021 - Doctoral dissertation) Arrieta-Prieto, M. E. (2021). Data-driven modeling for effective integration of wind power. 🔗
(2018 - Master's thesis with cum laude ("meritoria") distinction) Arrieta Prieto, M. E. (2019). Selection of a linear combination of common factors as a coincident index for the Colombian economy. 🔗
Selected for the Trampolín ECOS Nord Colombia 2026 program, which funds a 7–10-day research stay in France to develop a joint research project and prepare an application to the bilateral ECOS Nord Colombia 2027 call. The project "Data-driven modeling and stochastic optimization to facilitate and sustain the integration of renewable energy in Colombia" was developed in collaboration with Dr. Michel De Lara and Universidad Nacional de Colombia's French partner institution, École Nationale des Ponts et Chaussées. The program is organized by the Institut français de Colombie in collaboration with the ECOS Nord Committee.
Recognition for outstanding teaching performance, placing among the top 10% of faculty members in the School of Science according to student evaluations/perception.
Recipient of a US$10,000 research grant to develop the project "Spatio-temporal Probabilistic Forecasting of Circular Variables: Enhancing the Value of Wind Power Prospective Models by Incorporating Wind Direction Probabilistic Forecasts", formulated jointly with Dr. Kristen Schell. The grant is awarded by the International Institute of Forecasters in collaboration with SAS to support research aimed at improving forecasting methodology and practice.
Awarded by the Department of Industrial and Systems Engineering at Rensselaer Polytechnic Institute for an outstanding doctoral dissertation. The prize recognizes a DSES doctoral graduate in ISE whose dissertation is considered exceptional, with particular value placed on the potential impact of the research and its dissemination through publications or presentations in an open forum.
University-wide recognition for students who demonstrate creativity, discovery, leadership, pride, and responsibility at Rensselaer. Established in 1994, the award recognizes a highly selective group of students, approximately 1% of the RPI student population each year, and includes a certificate, formal recognition at the Honors Convocation, and a cash prize.
Awarded to the engineering graduate of Universidad Nacional de Colombia, Bogotá, with the highest cumulative academic average, recognizing outstanding academic achievement during undergraduate studies. The award is one of the Sociedad Colombiana de Ingenieros' Premios a la Ingeniería Nacional. Public records indicate that the award is specifically granted based on the highest cumulative academic average among engineering graduates at Universidad Nacional de Colombia.
Graduated with Honors in Industrial Engineering from Universidad Nacional de Colombia, receiving the university's recognition for academic excellence and for the best undergraduate research project in Industrial Engineering. The Honors distinction included a scholarship to pursue master's studies at Universidad Nacional de Colombia.