Making good probability estimates for regression

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4212 LNAI, Issue , 2006, Pages 582-589

  Carney, Michael ^a   Cunningham, Pádraig ^a  

^a TRINITY COLLEGE DUBLIN   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; OPTIMIZATION; PARAMETER ESTIMATION; PROBABILITY; PROBLEM SOLVING; RISK MANAGEMENT;

DENSITY FORECASTING MODELS; EVOLUTIONARY OPTIMIZATION; MULTI-OBJECTIVE PROBLEMS; PROBABILITY INTEGRAL TRANSFORMS;

REGRESSION ANALYSIS;

EID: 33750354909     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11871842_55     Document Type: Conference Paper

References (19)

1. Carney, M., Cunningham, P.: Calibrating probability density forecasts with multi-objective search. Technical Report TCD-CS-2006-07, Trinity College, Dublin (2006)
2. Weigend, A.S., Shi., S.: Predicting daily probability distributions of S&P500 returns. Journal of Forecasting 19(4) (2000) 375-392
3. Diebold, F.X., Gunther, TA., Tay, A.S.: Evaluating density forecasts with applications to financial risk management. International Economic Review 39(4) (1998) 863-83
4. Gneiting, T., Raftery, A.E., Balabdaoui, F., Westveld, A.: Verifying probabilistic forecasts: Calibration and sharpness. In: Proceedings Workshop on Ensemble Forecasting. (2003)
5. Rechenberg, I.: Evolutionsstrategie '94. Technical report, frommannholzboog (1994)
6. Deb, K.: Multi-Objective Optimisation using Evolutionary Algorithms. Wiley (2001)
7. Bollerslev, T.: Generalized autoregressive conditional hetroskedasticity. Journal of Econometrics 31 (1986) 307-327
8. Bishop, C.: Mixture density networks. Technical report, Neural Computing Research Group, Aston University, Birmingham (1994)
9. Yao, X.: Evolutionary artificial neural networks. In: Proceedings of the IEEE. Volume 87. (1999) 1423-1447
10. Fieldsend, J., Singh, S.: Pareto evolutionary neural networks. IEEE Trans. Neural Networks 16(2) (2005) 338-354
11. Carney, M., Cunningham, P.: Calibrating probability density forecasts with multi-objective search. In: Proceedings of European Conference in Artificial Intelligence. (2006)
12. Dawid, A.P.: The well calibrated Bayesian. Jour. of the Amer. Stats. Ass. 77 (1982) 605-610
13. Rosenblatt: Remarks on a multivariate transformation. Annals of Math. and Stats. 23 (1952) 470-472
14. Noceti, P., Smith, J., Hodges, S.: An evaluation of tests of distributional forecasts. Journal of Forecasting 22(6-7) (2003) 447-455
15. Anderson, T., Darling, D.: A test of goodness of fit. Jour. of the Amer. Stats. Ass. 19 (1954) 765-769
16. Pareto, V.: Cours D'Economie Politique. Lausanne (1896)
17. Nelson, D.B.: Conditional heteroskedasticity in asset returns: A new approach. Econometrica 59 (1991) 347-370
18. Jerrell, M.E., Campione, W.A.: Global optimization of econometric functions. Journal of Global Optimization 20 (2001) 273-295
19. Carney, M., Cunningham, P., Lucey, B.M.: Making density forecasting models statistically consistent. Technical Report TCD-CS-2006-04, Dept of Comp Sci, TCD (2006)