Hello, I am Felipe Elorrieta.
Associate Professor at Universidad de Santiago de Chile.
About Me
I am a statistical engineer from Universidad de Santiago, Santiago, Chile, received in 2011, M.S. degree in statistics from Pontificia Universidad Católica, Santiago, Chile, received in 2013, Ph.D. degree in statistics from Pontificia Universidad Católica, Santiago, Chile, received in 2018. I am currently an Associate Professor in the Faculty of Science, Department of Mathematics and Computer Science at Universidad de Santiago, Chile. My research interests are the analysis of time series data and the statistical methods used in classification problems. This research line has allowed me to approach the analysis of astronomical data. In the last 10 years I have collaborated in Astro-Statistics research teams at the Millennium Institute of Astrophysics (MAS), the Chilean broker for LSST, ALeRCE, and for the Center for Interdisciplinary Research in Astrophysics and Space Sciences (CIRAS) at the University of Santiago. In addition, I have focused some of my research time on the statistical analysis of infectious diseases, particularly in their impact on the population. With the advent of COVID-19 in 2020 I was able to lead interdisciplinary research teams such as GEMVEP-USACH and Data Salud-USACH. For more information about my research and teaching expierence, please see my CV . Furthermore, you can follow my research in my Google Scholar , ResearchGate , and ORCID ID profiles.
Teaching
Time Series
In this course I seek to present to the students basic concepts of time series and their applications.
Advanced Time Series
In this course I aim to familiarize the student with advanced time series methods with applications in finance.
Algorithms in Data Mining
In this course I review Machine Learning concepts and techniques that allow segmenting, classifying and interpreting large volumes of data.
Numerical Methods
In this course, mathematical optimization algorithms are presented with application in statistical problems that require it.
My research
Publications
Astro-Statistics
- Elorrieta, F., Osses, L., Cáceres, M., Eyheramendy, S., Palma, W. 2023. Online Estimation Methods for Irregular Autoregressive Models. In: Valenzuela, O., Rojas, F., Herrera, L.J., Pomares, H., Rojas, I. (eds) Theory and Applications of Time Series Analysis. ITISE 2022. Contributions to Statistics. Springer, Cham. https://doi.org/10.1007/978-3-031-40209-8_1
- Ojeda, C, Palma, W, Eyheramendy, S., Elorrieta, F. 2023. “A Novel First-Order Autoregressive Moving Average Model to Analyze Discrete-Time Series Irregularly Observed”.
In: Valenzuela, O., Rojas, F., Herrera, L.J., Pomares, H., Rojas, I. (eds) Theory and Applications of Time Series Analysis and Forecasting. ITISE 2021.
Contributions to Statistics. Springer, Cham. https://doi.org/10.1007/978-3-031-14197-3_7
- Ojeda, C, Palma, W, Eyheramendy, S., Elorrieta, F. 2023. “Extending time series models
for irregular observational gaps with a moving average structure for astronomical sequences”. Royal Astronomical Society Techniques and Instruments.rzac011, https:
//doi.org/10.1093/rasti/rzac011
- Elorrieta, F., Eyheramendy, S., Palma, W., Ojeda, C. 2021. A novel bivariate autoregressive
model for predicting and forecasting irregularly observed time series, Monthly
Notices of the Royal Astronomical Society, Volume 505, Issue 1, Pages 1105–1116. https:
//doi.org/10.1093/mnras/stab1216
- Forster F, Cabrera-Vives G, Castillo-Navarrete E, Estévez PA, Sánchez-Sáez P, Arredondo
J, Bauer FE, Carrasco-Davis R, Catelan M, Elorrieta F, Eyheramendy S, et al. 2021. The
Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker. The
Astronomical Journal, 161(5), 242. https://doi.org/10.3847/1538-3881/abe9bc
- Sánchez-Sáez, P., Reyes, I., Valenzuela, C., Forster, F., Eyheramendy, S., Elorrieta, F.,
Bauer, F.E., Cabrera-Vives, G., et al. 2021. Alert classification for the ALeRCE broker
system: The light curve classifier. The Astronomical Journal 161(3), 141. https:
//doi.org/10.3847/1538-3881/abd5c1
- Elorrieta F, Eyheramendy S, Palma W. 2019. Discrete-time autoregressive model for unequally
spaced time-series observations. A&A, 627, A120. doi:10.1051/0004-6361/201935560.
https://doi.org/10.1051/0004-6361/201935560
- Eyheramendy, S., Elorrieta, F., Palma, W. 2018. An irregular discrete time series model to
identify residuals with autocorrelation in astronomical light curves. Monthly Notices
of the Royal Astronomical Society, 481(4): 4311-4322.
- Dekany, I., Hadju, G., Grebel, E.,K., .et al. including Elorrieta, F. 2018. “A Near-infrared RR
Lyrae Census along the Southern Galactic Plane: The Milky Way’s Stellar Fossil Brought
to Light”. The Astronomical Journal, 857, A54.
- Eyheramendy, S., Elorrieta, F., Palma, W. 2016. “An autoregressive model for irregular
time series of variable stars”. Proceedings of the International Astronomical Union,
12(S325), 259-262.
- Elorrieta, F., Eyheramendy, S. Jordán, A., et al. 2016. “A Machine Learned Classifier for
RR Lyrae in the VVV Survey”. Astronomy & Astrophysics, 595, A82.
- Gran, F., Minniti, D., Saito, R., K., et al. including Elorrieta, F. 2016. “Mapping the outer
bulge with RRab stars from the VVV Survey”. Astronomy & Astrophysics, 591, A145.
Public Health
- Ayala, A., Vargas, C., Elorrieta, F., Villalobos Dintrans, P., Maddaleno, M. 2023.
Inequity in mortality rates and potential years of life lost caused by COVID-19 in the Greater Santiago, Chile. Sci Rep 13, 16293 (2023). https://doi.org/10.1038/s41598-023-43531-x
- Ayala A, Villalobos Dintrans P, Elorrieta F, Maddaleno M, Vargas C y Iturriaga A. 2023. “COVID-19 en Chile: anlisis de su impacto por olas y regiones [The impact of the dierent waves of COVID-19 pandemic in Chile across regions].” Revista Médica de Chile 151 (2023): 269-279.
- Varas S, Elorrieta F, Vargas C, Villalobos Dintrans P, Castillo C, Martinez Y, Ayala A,
Maddaleno M. 2022. Factors associated with change in adherence to COVID-19 personal
protection measures in the Metropolitan Region, Chile. PLOS ONE 17(5): e0267413.
https://doi.org/10.1371/journal.pone.0267413
- Ayala A, Villalobos Dintrans P, Elorrieta F, Castillo C, Vargas C, Maddaleno M. Identification
of COVID-19 Waves: Considerations for Research and Policy. International Journal
of Environmental Research and Public Health. 2021; 18(21):11058. https://doi.org/10.
3390/ijerph182111058
Other
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Related Websites
Astro-Statistics
- Millennium Institute of Astrophysics (MAS)
- ALeRCE
- Center for Interdisciplinary Research in Astrophysics and Space Sciences (CIRAS)
Public Health
iAR package
Other Sites
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