Linear Models and Time-Series Analysis

Bibliography

1. Aas, K., Haff, I., and Dimakos, X. K. (2005). Risk Estimation using the Multivariate Normal Inverse Gaussian Distribution. Journal of Risk, 8(2):39–60.
2. Aas, K. and Haff, I. H. (2006). The Generalised Hyperbolic Skew Student's ‐Distribution. Journal of Financial Econometrics, 4(2):275–309.
3. Abad, P., Benito, S., and López, C. (2014). A Comprehensive Review of Value at Risk Methodologies. Spanish Review of Financial Economics, 12(1):15–32.
4. Abadir, K. M. (1998). Explicit Distribution Theory for Simple Time Series. John Wiley & Sons, New York.
5. Abadir, K. M. and Magnus, J. R. (2005). Matrix Algebra. Cambridge University Press, Cambridge.
6. Abdous, B., Genest, C., and Rémillard, B. (2005). Dependence Properties of Meta‐Elliptical Distributions. In Duchesne, P. and Rémillard, B., editors, Statistical Modeling and Analysis for Complex Data Problems, chapter 1. Springer, New York.
7. Abraham, B. and Ledolter, J. (1983). Statistical Methods for Forecasting. John Wiley & Sons, New York.
8. Abraham, B. and Ledolter, J. (1984). A Note on Inverse Autocorrelations. Biometrika, 71:609–614.
9. Agresti, A. (2015). Foundations of Linear and Generalized Linear Models. John Wiley & Sons, Hoboken, NJ.
10. Aielli, G. P. (2013). Dynamic Conditional Correlation: On Properties and Estimation. Journal of Business & Economic Statistics, 31(3):282–299.
11. Aielli, G. P. and Caporin, M. (2013). Fast Clustering of GARCH Processes via Gaussian Mixture Models. Mathematics and Computers in Simulation, 94:205–222.
12. Akaike, ...