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Digital Methods and the Evolution of the Epistemology of Social Sciences Read chapter Read first chapter

2021 | OriginalPaper | Chapter

ROC Curve in GAMLSS as Prediction Tool for Big Data

Author : Andrea Marletta

Published in: Data Science and Social Research II

Publisher: Springer International Publishing

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Abstract

During the latest years, Big Data appears as one of the most innovative and growing scientific areas of interest. In this field, finding reliable methods to make accurate predictions represents one of the most inspirational challenges. In the following paper, the use of ROC (Receiver Operating Characteristic) Curve, a binary tool, often used for medical tests, has been used to make predictions. In particular, the attention is focused on the implementation of the ROC Curve in GAMLSS (Generalized Additive Models for Location Scale and Shape), semi-parametric models suitable for huge and flexible datasets.

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Literature
Akaike, H. (1973). Maximum likelihood identification of Gaussian autoregressive moving average models. Biometrika, 60(2), 255–265.MathSciNetCrossRef
Alonzo, T. A., & Pepe, M. S. (2002). Distribution-free ROC analysis using binary regression techniques. Biostatistics, 3(3), 421–432.CrossRef
Chambers, J. M., & Hastie, T. J. (1991). 1991. Chapman and Hall, New York: Statistical Models. CRC.
Cole, T. J., & Green, P. J. (1992). Smoothing reference centile curves: the LMS method and penalized likelihood. Statistics in medicine, 11(10), 1305–1319.CrossRef
Dunn, P. K., & Smyth, G. K. (1996). Randomized quantile residuals. Journal of Computational and Graphical Statistics, 5(3), 236–244.
Finger, L. (2013). Ask. Measure, Learn: Using Social Media Analysis to Understand and Influence Costumer Behaviour.
Hastie, T. J., Tibshirani, R. J. (1990). Generalized additive models (Vol. 43). CRC press.
Liberati C. and Mariani P. (2016). Big Data meet pharmaceutical industry: an application on social media data. Book of Abstracts, 10th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society.
Nelder, J. A., Wedderburn, R. W. M. (1972). Generalized linear models. JR Statist. Soc. A 135, 370-384. Nelder370135J. R. Statist. Soc A, 1972.
Pepe, M. S. (2003). The statistical evaluation of medical tests for classification and prediction. USA: Oxford University Press.MATH
Rigby, R. A., Stasinopoulos, D. M. (2001, July). The GAMLSS project: a flexible approach to statistical modelling. In New trends in statistical modelling: Proceedings of the 16th international workshop on statistical modelling (pp. 249-256).
Rigby, R. A., & Stasinopoulos, D. M. (2005). Generalized additive models for location, scale and shape. Journal of the Royal Statistical Society: Series C (Applied Statistics), 54(3), 507–554.MathSciNetMATH
Sichel, H. S. (1973). Statistical valuation of diamondiferous deposits. Journal of the Southern African Institute of Mining and Metallurgy, 73(7), 235–243.
Metadata
Title
ROC Curve in GAMLSS as Prediction Tool for Big Data
Author
Andrea Marletta
Copyright Year
2021
Book
Data Science and Social Research II

Print ISBN: 978-3-030-51221-7

Electronic ISBN: 978-3-030-51222-4

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-51222-4_19

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