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Sensors 2021, 21, 6319 16 of 16 20. Guzman, A.; Pinto-Gutierrez, C.; Trujillo, M.A. Trading cryptocurrencies as a pandemic pastime: COVID-19 lockdowns and bitcoin volume. Mathematics 2021, 9, 1771. [CrossRef] 21. Leiva, V.; Saulo, H.; Souza, R.; Aykroyd, R.G.; Vila, R. A new BISARMA time series model for forecasting mortality using weather and particulate matter data. J. Forecast. 2021, 40, 346–364. [CrossRef] 22. Palacios, C.A.; Reyes-Suarez, J.A.; Bearzotti, L.A.; Leiva, V.; Marchant, C. Knowledge discovery for higher education student retention based on data mining: Machine learning algorithms and case study in Chile. Entropy 2021, 23, 485. [CrossRef] 23. Cortes, C.; Vapnik, V. Support-vector networks. Mach. Learn. 1995, 20, 273–297. [CrossRef] 24. Razi, M.A.; Athappilly, K. A comparative predictive analysis of neural networks (NNS), nonlinear regression and classification and regression tree (CART) models. Expert Syst. Appl. 2005, 29, 65–74. [CrossRef] 25. Aykroyd, R.G.; Leiva, V.; Ruggeri, F. Recent developments of control charts, identification of big data sources and future trends of current research. Technol. Forecast. Soc. Chang. 2019, 144, 221–232. [CrossRef] 26. Geranian, H.; Tabatabaei, S.H.; Asadi, H.H.; Carranza, E.J.M. Application of discriminant analysis and support vector machine in mapping gold potential areas for further drilling in the Sari-Gunay gold deposit, NW Iran. Nat. Resour. Res. 2016, 25, 145–159. [CrossRef] 27. S ́lepaczuk, R.; Zenkova, M. Robustness of support vector machines in algorithmic trading on cryptocurrency market. Cent. Eur. Econ. J. 2018, 5, 186–205. [CrossRef] 28. Ramirez-Figueroa, J.A.; Martin-Barreiro, C.; Nieto, A.B.; Leiva, V.; Galindo-Villardón, M.P. A new principal component analysis by particle swarm optimization with an environmental application for data science. Stoch. Environ. Res. Risk Assess. 2021, 35, 1969–1984. [CrossRef] 29. Hitam, N.A.; Ismail, A.R.; Saeed, F. An optimized support vector machine based on particle swarm optimization (PSO) for cryptocurrency forecasting. Procedia Comput. Sci. 2019, 163, 427–433. [CrossRef] 30. Sebastiaˇo, H.; Godinho, P.. Forecasting and trading cryptocurrencies with machine learning under changing market conditions. Financ. Innov. 2021, 7, 3. [CrossRef] 31. Cabezas, X.; García, S.; Martin-Barreiro, C.; Delgado, E.; Leiva, V. A two-stage location problem with order solved using a Lagrangian algorithm and stochastic programming for a potential use in COVID-19 vaccination based on sensor-related data. Sensors 2021, 21, 5352. [CrossRef] 32. Martin-Barreiro, C.; Ramirez-Figueroa, J.; Cabezas, X.; Leiva, V.; Galindo-Villardon, M. Disjoint and functional principal component analysis for infected cases and deaths due to COVID-19 in South American countries with sensor-related data. Sensors 2021, 21, 4094. [CrossRef] [PubMed] 33. Rojas, F.; Leiva, V.; Huerta, M.; Martin-Barreiro, C. Lot-size models with uncertain demand considering its skewness/kurtosis and stochastic programming applied to hospital pharmacy with sensor-related COVID-19 data. Sensors 2021, 21, 5198. [CrossRef] [PubMed] 34. Boser, B.E.; Guyon, I.M.; Vapnik, V.N. A Training Algorithm for Optimal Margin Classifiers; Association for Computing Machinery: New York, NY, USA, 1992. [CrossRef] 35. Luenberger, D.G.; Ye, Y. Linear and Nonlinear Programming; Springer: New York, NY, USA, 2008. 36. Meyer, D.; Dimitriadou, E.; Hornik K.; Weingessel, A.; Leisch, F.; Chang, C.C.; Lin, C.C. e1071: Misc Functions of the Department of Statistics (e1071), TU Wien. R Package Version V.1.7-9. 2021. Available online: https://cran.r-project.org/web/packages/e1071 (accessed on 16 September 2021). 37. Wickham H. ggplot2: Elegant Graphics for Data Analysis; Springer: New York, NY, USA, 2016. Available online: https: //ggplot2.tidyverse.org (accessed on 15 September 2021). 38. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Aus- tria, 2021. 39. World Health Organization. Coronavirus Disease (COVID-19) Outbreak; WHO: Ginebra, Switzerland, 2021. Available online: https://www.who.int/emergencies/diseases/novel-coronavirus-2019 (accessed on 20 September 2021). 40. Stone, M. Cross-validation choice and assessment of statistical predictions J. R. Stat. Soc. B 1974, 36, 111–147. 41. Henrique, B.M.; Sobreiro, V.A.; Kimura, H. Stock price prediction using support vector regression on daily and up to the minute prices. J. Financ. Data Sci. 2018, 4, 183–201. [CrossRef]PDF Image | Predicting Cryptocurrency Returns Based on the Gold Prices
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