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ORCIDDominique Guégan
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2020 – today
- 2022
[j9]Monica Billio
, Lorenzo Frattarolo, Dominique Guégan:
High-Dimensional Radial Symmetry of Copula Functions: Multiplier Bootstrap vs. Randomization. Symmetry 14(1): 97 (2022)- 2021
- [j8]Camila Epprecht, Dominique Guégan, Álvaro Veiga, Joel Corrêa da Rosa:
Variable selection and forecasting via automated methods for linear models: LASSO/adaLASSO and Autometrics. Commun. Stat. Simul. Comput. 50(1): 103-122 (2021)
2010 – 2019
- 2019
- [i1]Louis Abraham, Dominique Guégan:
The other side of the Coin: Risks of the Libra Blockchain. CoRR abs/1910.07775 (2019) - 2017
- [j7]Dominique Guégan, Bertrand Hassani, Kehan Li:
Measuring risks in the tail: The extreme VaR and its confidence interval. Risk Decis. Anal. 6(3): 213-224 (2017) - 2014
- [j6]Peter Martey Addo, Monica Billio, Dominique Guégan:
The univariate MT-STAR model and a new linearity and unit root test procedure. Comput. Stat. Data Anal. 76: 4-19 (2014) - 2013
- [j5]Dominique Guégan, Philippe de Peretti:
An omnibus test to detect time-heterogeneity in time series. Comput. Stat. 28(3): 1225-1239 (2013) - 2011
- [j4]Zhiping Lu, Dominique Guégan:
Estimation of Time-Varying Long Memory Parameter Using Wavelet Method. Commun. Stat. Simul. Comput. 40(4): 596-613 (2011) - [j3]Monica Billio, Ludovic Calès, Dominique Guégan:
Portfolio symmetry and momentum. Eur. J. Oper. Res. 214(3): 759-767 (2011) - 2010
- [j2]Laurent Ferrara, Dominique Guégan, Zhiping Lu:
Testing Fractional Order of Long Memory Processes: A Monte Carlo Study. Commun. Stat. Simul. Comput. 39(4): 795-806 (2010)
2000 – 2009
- 2008
- [j1]Abdou Kâ Diongue, Dominique Guégan:
Estimation of k-Factor GIGARCH Process: A Monte Carlo Study. Commun. Stat. Simul. Comput. 37(10): 2037-2049 (2008)
1990 – 1999
- 1997
- [c1]Anne-Emmanuelle Badel, Dominique Guégan, Ludovic Mercier, Olivier J. J. Michel:
Comparison of several methods to predict chaotic time series. ICASSP 1997: 3793-3796
1980 – 1989
- 1988
- [b1]Dominique Guégan:
Modèles bilinéaires et polynomiaux de séries chronologiques : étude probabiliste et analyse statistique. (Polynomial and bilinear time series models : probabilistic study and statistical analysis). Joseph Fourier University, Grenoble, France, 1988
Coauthor Index
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