Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Simulation and Resampling Techniques |
Sources of information |
Identifying Data | 2024/25 | |||||||||||||
Subject | Simulation and Resampling Techniques | Code | 614G02036 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 1st four-month period |
Fourth | Optional | 6 | ||||||||||
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Basic |
Cao, R. (2002). Introducción a la simulación y a la teoría de colas. NetBiblo Cao R. y Fernández-Casal R. (2021). Técnicas de Remuestreo. Libro online: https://rubenfcasal.github.io/book_remuestreo Chernick, M.R. y LaBudde, R.A. (2014). An introduction to bootstrap methods with applications to R. John Wiley & Sons Davison, A.C. y Hinkley, D.V. (1997). Bootstrap Methods and their Application. Cambridge University Press Fernández-Casal, R. y Cao, R. (2022). Simulación Estadística. Libro online: https://rubenfcasal.github.io/simbook Jones, O. et al. (2009). Introduction to Scientific Programming and Simulation Using R. CRC Robert, C.P. y Casella, G. (2010). Introducing Monte Carlo Methods with R. Springer |
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Complementary |
Efron, B. y Tibshirani, R.J. (1993). An Introduction to the Bootstrap. Chapman and Hall Fox, J. y Weisberg, S. (2018). An R companion to applied regression. Sage Gentle, J.E. (2003). Random number generation and Monte Carlo methods. Springer?Verlag Ripley, B.D. (1987). Stochastic Simulation. John Wiley & Sons Ross, S.M. (1999). Simulation. Prentice Hall Shao, J. y Tu, D. (1995). The Jackknife and Bootstrap. Springer-Verlag Suess, E.A. y Trumbo, B.E. (2010). Introduction to probability simulation and Gibbs sampling with R. Springer |
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