Partially adaptive econometric methods for regression and classification

DOI10.1007/S10614-010-9226-YzbMath1233.91215OpenAlexW1980578521MaRDI QIDQ1959110

Brad J. Larsen, James B. McDonald, Panayiotis Theodossiou, James V. Hansen

Publication date: 6 October 2010

Published in: Computational Economics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10614-010-9226-y

zbMATH Keywords

classificationregressionvalue at riskasymmetric error costspartially adaptive estimation

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Statistical methods; economic indices and measures (91B82)

Related Items (2)

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Cites Work

• Unnamed Item
• Unnamed Item
• Handbook of computational economics. Vol. 2: Agent-based computational economics
• Hedonic housing prices and the demand for clean air
• An application and comparison of some flexible parametric and semi-parametric qualitative response models
• Generalized autoregressive conditional heteroscedasticity
• A conditional-SGT-VaR approach with alternative GARCH models
• Partially adaptive robust estimation of regression models and applications
• Financial Data and the Skewed Generalized T Distribution
• Conditional Heteroskedasticity in Asset Returns: A New Approach
• Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
• The Estimation of Choice Probabilities from Choice Based Samples
• Quadratic ARCH Models
• A further look at robustness via Bayes's theorem
• SYSTEMS OF FREQUENCY CURVES GENERATED BY METHODS OF TRANSLATION
• Threshold heteroskedastic models

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