Fast nonparametric conditional density estimation

Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, UAI 2007

Volumn , Issue , 2007, Pages 175-182

  Holmes, Michael P ^a   Gray, Alexander G ^a   Isbell Jr , Charles Lee ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BANDWIDTH SELECTIONS; BIVARIATE; CONDITIONAL DENSITY; DATA-DRIVEN; EXPECTED VALUES; MACHINE LEARNING COMMUNITIES; MAXIMUM LIKELIHOOD CRITERIA; MULTI-MODALITY; MULTIVARIATE DATA SETS; NON-PARAMETRIC; PREDICTION INTERVAL; PREDICTION PROBLEM; RED SHIFT; SLOAN DIGITAL SKY SURVEY;

ARTIFICIAL INTELLIGENCE; BANDWIDTH; MAXIMUM LIKELIHOOD ESTIMATION;

ESTIMATION;

EID: 57349197333     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Bashtannyk, D. M., & Hyndman, R. J. (2001). Bandwidth selection for kernel conditional density estimation. Computational Statistics & Data Analysis, 36, 279-298. (Pubitemid 32494902)
2. Fan, J., Yao, Q., & Tong, H. (1996). Estimation of conditional densities and sensitivity measures in nonlinear dynamical systems. Biometrika, 83, 189-206.
3. Fan, J., & Yim, T. H. (2004). A crossvalidation method for estimating conditional densities. Biometrika, 91, 819-834. (Pubitemid 41388921)
4. Gooijer, J. G. D., & Zerom, D. (2003). On conditional density estimation. Statistica Neerlandica, 57, 159-176. (Pubitemid 36761187)
5. Gray, A. G., & Moore, A. W. (2000). N-body problems in statistical learning. Advances in Neural Information Processing Systems (NIPS) 13.
6. Gray, A. G., & Moore, A. W. (2003). Rapid evaluation of multiple density models. Workshop on Artificial Intelligence and Statistics.
7. Hansen, B. E. (2004). Nonparametric conditional density estimation. Unpublished manuscript.
8. Hyndman, R. J., Bashtannyk, D. M., & Grunwald, G. K. (1996). Estimating and visualizing conditional densities. Journal of Computation and Graphical Statistics, 5, 315-336. (Pubitemid 126312701)
9. Moore, A., Connolly, A., Genovese, C., Gray, A., Grone, L., Kanidoris II, N., Nichol, R., Schneider, J., Szalay, A., Szapudi, I., & Wasserman, L. (2000). Fast algorithms and efficient statistics: N-point correlation functions.
10. Rosenblatt, M. (1969). Conditional probability density and regression estimators. In P. R. Krishnaiah (Ed.), Multivariate analysis ii, 25-31. Academic Press, New York.
11. Schapire, R. E., Stone, P., McAllester, D., Littman, M. L., & Csirik, J. A. (2002). Modeling auction price uncertainty using boosting-based conditional density estimation. ICML.
12. Silverman, B. W. (1986). Density estimation for statistics and data analysis, vol. 26 of Monographs on Statistics and Probability. Chapman & Hall.