On the recovery of joint distributions from limited information
By Douglas J. Miller, Wei‐han Liu. 2002
53 citations recorded by the source corpus.
Subfields: Finance, Statistical and Nonlinear Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/eb7f198ace6dceaf0a0831fa7392ae47375be0c0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Rustam Ibragimov
- Murray D. Smith
- Victor H. de la Peña
- Sh. Sharakhmetov
- Pravin K. Trivedi
- David M. Zimmer
- Andrew J. Patton
- Le Wang
In Statistical and Nonlinear Physics
- Sh. Sharakhmetov
- Rustam Ibragimov
- Murray D. Smith
- Pravin K. Trivedi
- Victor H. de la Peña
- David M. Zimmer
In Statistics and Probability
- Rustam Ibragimov
- Sh. Sharakhmetov
- Murray D. Smith
- Pravin K. Trivedi
- Victor H. de la Peña
- David M. Zimmer
- Andrew J. Patton
- James G. MacKinnon
Citations in the corpus
- On the Out-of-Sample Importance of Skewness and Asymmetric Dependence for Asset Allocation (2004, unknown): “In economics and finance, see Li (2000), Embrechts, Höing, and Juri (2001), Patton (2001a, 2001b), Rockinger and Jondeau (2001), Chen and Fan (2002a, 2002b), Mashal and Zeevi (2002), Miller and Liu (2002), Junker and May (2002), Fermanian and Scaillet (2003), and Rosenberg (2003).”
- Copula Modeling: An Introduction for Practitioners (2007, methodology): “Miller and Liu (2002) mention the copula method in their survey of methods of recovering joint distributions from limited information.”
- Characterizations of joint distributions, copulas, information, dependence and decoupling, with applications to time series (2006, methodology): “In recent years, copulas and related concepts in dependence modeling and measuring have been applied to a wide range of problems in economics, finance and risk management (e.g., Taylor [74], Fackler [23], Frees, Carriere and Valdez [25], Klugman and Parsa [46], Patton [61, 62], Richardson, Klose and”
- Stochastic frontier models with dependent error components (2008, background): “Applications include Dardanoni and Lambert (2001) in economics, and Miller and Liu (2002) and Smith (2003) in econometrics.”