The prediction at Scale as a service to the WWW

Authors

  • Agustín Alonso-Rodríguez Real Centro Universitario "Escorial-María Cristina"

DOI:

https://doi.org/10.54571/ajee.635

Keywords:

The WWW, the forecasts at Scale, as a service to clients, time series analysis, software: Prophet, Python.

Abstract

The big operating technological companies in the WWW, have developed, in response to the request of their clients, statistical programs for the analysis and prediction of events, at Scale, with the use of time series. In this paper, it is used one of these free source software programs Prophet for the analysis of the time series representing the evolution of the Long Term Government Bond Yiels: 10-Year, in Spain, from January 1980 to August of 2023.

 

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Author Biography

Agustín Alonso-Rodríguez, Real Centro Universitario "Escorial-María Cristina"

Doctor en Ciencias Económicas, especialidad de Economía Cuantitativa, por la Universidad Complutense de Madrid. Cursos de doctorado en Economía por la Universidad de California, San Diego. Profesor de Econometría Decano de Ciencias Empresariales

References

- ATWAN, T. A., Time Series Analysis with Python, Cookbook, Packt Publishing, Birmingham- Mumbai, 2022.

- HYNDMAN, R. y ATHANASOPOULOS, G., Forecasting, Principles and Practice, tercera ed., O’Texts, 2021.

- JOSEPH, M., Modern Time Series Forecasting with Python, Packt Publishing, Birmingham- Mumbai, 2022.

- NIELSEN, A., Practical Time Series Analysis, Prediction with Statistics and Machine Learning, O’Reilly, Sebastopol, CA, 2019.

- PIXEIRO, M., Time Series Forecasting in Python, Manning Publications Co., Shelter Island, NY,2022.

- RAFFERTY, G., Forecasting Time Series Data with Prophet, Packt Publishing, Birmingham-Mumbai, 2023.

- SIMON, J., Learn Amazon SageMaker, segunda edición, Packt Publishing, Birmingham-Mumbai, 2021.

- TAYLOR Sean, J. y LETHAN, B., Forcasting at Scale, The American Statistician, 72(1), 37-45, 2018. DOI: https://doi.org/10.1080/00031305.2017.1380080

- VISHWAS, B.V. y PATEL, A., Hands-on Time Series Analysis with Python, From Basics to Bleeding Edge Techniques, Apress, Ahmedabad (India), 2020. DOI: https://doi.org/10.1007/978-1-4842-5992-4

Published

2024-02-26

How to Cite

Alonso-Rodríguez, A. (2024). The prediction at Scale as a service to the WWW. Anuario Jurídico Y Económico Escurialense, (57). https://doi.org/10.54571/ajee.635

Issue

Section

ECONOMÍA

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