Multivariate empirical processes
Author
Abstract
Suggested Citation
Download full text from publisher
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Cai, J., 2012. "Estimation concerning risk under extreme value conditions," Other publications TiSEM a92b089f-bc4c-41c2-b297-c, Tilburg University, School of Economics and Management.
- Gantner, M., 2010. "Some nonparametric diagnostic statistical procedures and their asymptotic behavior," Other publications TiSEM eb04bdba-bf8a-4f6c-8dd8-9, Tilburg University, School of Economics and Management.
- John H. J. Einmahl & Fan Yang & Chen Zhou, 2021.
"Testing the Multivariate Regular Variation Model,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(4), pages 907-919, October.
- Einmahl, John & Yang, Fan & Zhou, Chen, 2018. "Testing the Multivariate Regular Variation Model," Discussion Paper 2018-044, Tilburg University, Center for Economic Research.
- Einmahl, John & Yang, Fan & Zhou, Chen, 2018. "Testing the Multivariate Regular Variation Model," Other publications TiSEM dd3c4dd0-7181-40f3-af44-f, Tilburg University, School of Economics and Management.
- Einmahl, John H. J., 1997.
"Poisson and Gaussian approximation of weighted local empirical processes,"
Stochastic Processes and their Applications, Elsevier, vol. 70(1), pages 31-58, October.
- Einmahl, J.H.J., 1997. "Poisson and Gaussian approximation of weighted local empirical processes," Other publications TiSEM 07d934b9-2bd4-474a-bf32-f, Tilburg University, School of Economics and Management.
- Juan-Juan Cai & John H. J. Einmahl & Laurens Haan & Chen Zhou, 2015.
"Estimation of the marginal expected shortfall: the mean when a related variable is extreme,"
Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 77(2), pages 417-442, March.
- Cai, J. & Einmahl, J.H.J. & de Haan, L.F.M. & Zhou, C., 2012. "Estimation of the Marginal Expected Shortfall : The Mean when a Related Variable is Extreme," Other publications TiSEM e96e039f-cb6b-4cd5-805b-5, Tilburg University, School of Economics and Management.
- Cai, J. & Einmahl, J.H.J. & de Haan, L.F.M. & Zhou, C., 2012. "Estimation of the Marginal Expected Shortfall : The Mean when a Related Variable is Extreme," Discussion Paper 2012-080, Tilburg University, Center for Economic Research.
- John Einmahl & Maria Gantner, 2012.
"Testing for bivariate spherical symmetry,"
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(1), pages 54-73, March.
- Einmahl, J.H.J. & Gantner, M., 2010. "Testing for Bivariate Spherical Symmetry," Other publications TiSEM b50b8093-4f4c-4afa-af04-3, Tilburg University, School of Economics and Management.
- Einmahl, J.H.J. & Gantner, M., 2012. "Testing for bivariate spherical symmetry," Other publications TiSEM f02b446f-b69b-45bb-b39d-2, Tilburg University, School of Economics and Management.
- Einmahl, J.H.J. & Gantner, M., 2010. "Testing for Bivariate Spherical Symmetry," Discussion Paper 2010-71, Tilburg University, Center for Economic Research.
- Billio Monica & Frattarolo Lorenzo & Guégan Dominique, 2021. "Multivariate radial symmetry of copula functions: finite sample comparison in the i.i.d case," Dependence Modeling, De Gruyter, vol. 9(1), pages 43-61, January.
- B. N. Cheng & S. T. Rachev, 1995. "Multivariate Stable Futures Prices," Mathematical Finance, Wiley Blackwell, vol. 5(2), pages 133-153, April.
- Einmahl, J.H.J. & McKeague, I.W., 2002.
"Empirical Likelihood based on Hypothesis Testing,"
Other publications TiSEM
402576fa-8c0e-45e2-a394-8, Tilburg University, School of Economics and Management.
- Einmahl, J.H.J. & McKeague, I.W., 2003. "Empirical likelihood based hypothesis testing," Other publications TiSEM 2ddb34d8-8ae7-46e3-8004-c, Tilburg University, School of Economics and Management.
- Einmahl, J.H.J. & McKeague, I.W., 2002. "Empirical Likelihood based on Hypothesis Testing," Discussion Paper 2002-92, Tilburg University, Center for Economic Research.
- John H. J. Einmahl & Andrew Rosalsky, 2001. "The Functional Law of the Iterated Logarithm for the Empirical Process Based on Sample Means," Journal of Theoretical Probability, Springer, vol. 14(2), pages 577-597, April.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tiu:tiutis:4d74fa6b-5281-48ea-aa4d-5cc3d8f4ac8a. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Richard Broekman (email available below). General contact details of provider: https://www.tilburguniversity.edu/about/schools/economics-and-management/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.