Approximating conditional distribution functions using dimension reduction
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- Hyndman, R.J. & Yao, Q., 1998.
"Nonparametric Estimation and Symmetry Tests for Conditional Density Functions,"
Monash Econometrics and Business Statistics Working Papers
17/98, Monash University, Department of Econometrics and Business Statistics.
- Yao, Qiwei & Hyndman, Rob J., 2002. "Nonparametric estimation and symmetry tests for conditional density functions," LSE Research Online Documents on Economics 6092, London School of Economics and Political Science, LSE Library.
- Xiangrong Yin & R. Dennis Cook, 2002. "Dimension reduction for the conditional "k"th moment in regression," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(2), pages 159-175.
- Posse, Christian, 1995. "Projection pursuit exploratory data analysis," Computational Statistics & Data Analysis, Elsevier, vol. 20(6), pages 669-687, December.
- Foresi, S. & Paracchi, F., 1992. "The Conditional Distribution of Excess Returns: An Empirical Analysis," Working Papers 92-49, C.V. Starr Center for Applied Economics, New York University.
- Hall, Peter & Wolff, Rodney C. L. & Yao, Qiwei, 1999. "Methods for estimating a conditional distribution function," LSE Research Online Documents on Economics 6631, London School of Economics and Political Science, LSE Library.
- Fan, Jianqing & Yao, Qiwei & Tong, Howell, 1996. "Estimation of conditional densities and sensitivity measures in nonlinear dynamical systems," LSE Research Online Documents on Economics 6704, London School of Economics and Political Science, LSE Library.
- Powell, James L & Stock, James H & Stoker, Thomas M, 1989. "Semiparametric Estimation of Index Coefficients," Econometrica, Econometric Society, vol. 57(6), pages 1403-1430, November.
- Bashtannyk, David M. & Hyndman, Rob J., 2001.
"Bandwidth selection for kernel conditional density estimation,"
Computational Statistics & Data Analysis,
Elsevier, vol. 36(3), pages 279-298, May.
- Bashtannyk, D.M. & Hyndman, R.J., 1998. "Bandwidth Selection for Kernel Conditional Density Estimation," Monash Econometrics and Business Statistics Working Papers 16/98, Monash University, Department of Econometrics and Business Statistics.
- Klein, Roger W & Spady, Richard H, 1993.
"An Efficient Semiparametric Estimator for Binary Response Models,"
Econometric Society, vol. 61(2), pages 387-421, March.
- Klein, R.W. & Spady, R.H., 1991. "An Efficient Semiparametric Estimator for Binary Response Models," Papers 70, Bell Communications - Economic Research Group.
- Cai, Zongwu, 2002. "Regression Quantiles For Time Series," Econometric Theory, Cambridge University Press, vol. 18(01), pages 169-192, February.
- Toshiaki Watana, 2000. "Excess kurtosis of conditional distribution for daily stock returns: the case of Japan," Applied Economics Letters, Taylor & Francis Journals, vol. 7(6), pages 353-355.
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- repec:spr:testjl:v:27:y:2018:i:2:d:10.1007_s11749-017-0546-2 is not listed on IDEAS
- repec:eee:jmvana:v:158:y:2017:i:c:p:47-59 is not listed on IDEAS
- Cao, Ricardo & Gonzalez-Manteiga, Wenceslao, 2008. "Goodness-of-fit tests for conditional models under censoring and truncation," Journal of Econometrics, Elsevier, vol. 143(1), pages 166-190, March.
- repec:bla:scjsta:v:44:y:2017:i:2:p:396-424 is not listed on IDEAS
- Chang, Ziqing & Xue, Liugen & Zhu, Lixing, 2010. "On an asymptotically more efficient estimation of the single-index model," Journal of Multivariate Analysis, Elsevier, vol. 101(8), pages 1898-1901, September.
- Chiang, Chin-Tsang & Huang, Ming-Yueh, 2012. "New estimation and inference procedures for a single-index conditional distribution model," Journal of Multivariate Analysis, Elsevier, vol. 111(C), pages 271-285.
- Carole Bernard & Junsen Tang, 2016. "Simplified Hedge For Path-Dependent Derivatives," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(07), pages 1-32, November.
- repec:bla:scjsta:v:44:y:2017:i:1:p:1-20 is not listed on IDEAS
- Sancetta, Alessio, 2009.
"Nearest neighbor conditional estimation for Harris recurrent Markov chains,"
Journal of Multivariate Analysis,
Elsevier, vol. 100(10), pages 2224-2236, November.
- Sancetta, A., 2007. "Nearest Neighbor Conditional Estimation for Harris Recurrent Markov Chains," Cambridge Working Papers in Economics 0735, Faculty of Economics, University of Cambridge.
More about this item
KeywordsConditional distribution; cross-validation; dimension reduction; kernel methods; leave-one-out method; local linear regression; nonparametric regression; prediction; root-n consistency; time series analysis;
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
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