Density Estimation and Combination under Model Ambiguity



References

[1] Ahmad, I.A. and P.E. Lin; A Nonparametric Estimation of the Entropy for Absolutely Continuous
Distributions. IEEE Transactions on Information Theory, 22, pp.372-375, 1976.

[2] Aït-Sahalia Yacine; Nonparametric Pricing of Interest Rate Derivative Securities, Econometrica, Vol.64
No.3 (May 1996), 527-560.

[3] Ang A.,and G. Bekaert, International Asset Allocation with Regime Shifts, Review of Financial Studies
15, 4, pp.1137-87, 2002.

[4] Ang A.,and G. Bekaert, How Do Regimes Affect Asset Allocation, Columbia Business School, 2002.

[5] Avramov D., Stock Return Predictability and Model Uncertainty, The Wharton School Working Paper,
May 2000.

[6] Avramov D., Stock Return Predictability and Model Uncertainty, Journal of Financial Economics 64,
pp.423-458, 2002.

[7] Bedford T. and R.Cooke; Probabilistic Risk Analysis, Cambridge University Press 2001.

[8] Chen X. and Huang J.Z.; Semiparametric and Nonparametric Estimation via the Method of Sieves,
Manuscript New York University, Noevmber 2002.

[9] Cremers K. J. M.; Stock Return Predictability: A Bayesian Model Selection Perspective, The Review
of Financial Studies Vol.15, No.4, pp.1223-1249, Fall 2002.

[10] Cristobal Cristobal J.A., Roca P.F. and W.G. Manteiga, A Class of Linear Regression Parameter Esti-
mators Constructed by Nonparametric Estimation, The Annals of Statistics 1987, Vol.15, No. 2, 603-09.

[11] Dhrymes P.J.; Topics in Advanced Econometrics Volume I and II, Springer-Verlag 1993.

[12] Dhrymes P.J; Identification and Kullback Information in the GLSEM, Journal of Econometrics 83,
163-184 (1998).

[13] Diebold F.X., T.A. Gunther and A.S. Tay, Evaluating Density Forecasts, PIER Working Paper 97-018.

[14] Diebold, F.X. and J.A.Lopez, Forecast Evaluation and Combination. In G.S.Maddala and C.R.Rao,
Handbook of Statistics, Volume 14, pp.241-68. Amsterdam: North-Holland.

[15] Dmitriev, Yu G. and F.P. Tarasenko, On the Estimation of Functionals of the Probability Density and
its Derivatives, Theory of Probability and Its Application 18, pp.628-33, 1973.

[16] Dmitriev, Yu G. and F.P. Tarasenko, On a Class of Nonparametric Estimates of Nonlinear Functionals,
Theory of Probability and Its Application 19, pp.390-94, 1974.

[17] Dudewicz E.J. and Edward C. van der Mulen, The Empiric Entropy, A New Approach to Nonparametric
Entropy Estimation, in Puri M., Vilaplana J.P. and Wertz W., New Perspectives in Theoretical and
Applied Statistics, 1987.

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