- Ahmad, I. A., Li, Q., 1997. Testing symmetry of an unknown density function by kernel method. Journal of Nonparametric Statistics 7 (3), 279–293.
Paper not yet in RePEc: Add citation now
- Aitchison, J., Aitken, C. G. G., 1976. Multivariate binary discrimination by the kernel method. Biometrika 63 (3), 413–420.
Paper not yet in RePEc: Add citation now
Akritas, M. G., Van Keilegom, I., 2001. Non-parameteric estimation of the residual distribution. Scandinavian Journal of Statistics 28 (3), 549–567.
Cheng, F., Sun, S., 2008. A goodness of ï¬t test of the errors in nonlinear autoregressive time series models. Statistics & Probability Letters 78 (1), 50–59.
- Dette, H., Kusi-Appiah, S., Neumeyer, N., 2002. Testing symmetry in nonparametric regression models. Journal Nonparametric Statistics 14 (5), 477–494.
Paper not yet in RePEc: Add citation now
- Efromovich, S., 2005. Estimation of the density of regression errors. The Annals of Statistics 33 (5), 2194–2227.
Paper not yet in RePEc: Add citation now
Escanciano, J. C., Jacho-Chávez, D. T., 2012. n uniformly consistent density estimation in nonparametric regression models. Journal of Econometrics 167 (2), 305–316.
- Garthwaite, P. H., Fan, Y., Sisson, S. A., 2010. Adaptive optimal scaling of Metropolis-Hastings algorithms using the Robbins-Monro process. Working paper, University of New South Wales, Sydney.
Paper not yet in RePEc: Add citation now
- Hall, P., 1987. On Kullback-Leibler loss and density estimation. The Annals of Statistics 15 (4), 1491–1519.
Paper not yet in RePEc: Add citation now
Hall, P., Li, Q., Racine, J., 2007. Nonparametric estimation of regression functions in the presence of irrelevant regressors. The Review of Economics and Statistics 89 (4), 784–789.
Hayï¬eld, T., Racine, J. S., 2008. Nonparametric econometrics: The np package. Journal of Statistical Software 27 (5), 1–32.
Kim, S., Shephard, N., Chib, S., 1998. Stochastic volatility: Likelihood inference and comparison with ARCH models. Review of Economic Studies 65 (3), 361–393.
Li, C., Ouyang, D., Racine, J. S., 2009. Nonparametric regression with weakly dependent data: The discrete and continuous regressor case. Journal of Nonparametric Statistics 21 (6), 697–711.
Li, Q., Racine, J. S., 2003. Nonparametric estimation of distributions with categorical and continuous data. Journal of Multivariate Analysis 86 (2), 266–292.
Li, Q., Racine, J. S., 2007. Nonparametric Econometrics: Theory and Practice. Princeton University Press, Princeton.
Li, Q., Zhou, J., 2005. The uniqueness of cross-validation selected smoothing parameters in kernel estimation of nonparametric models. Econometric Theory 21 (5), 1017–1025.
- Loynes, R. M., 1980. The empirical distribution function of residuals from generalised regression. The Annals of Statistics 8 (2), 285–298.
Paper not yet in RePEc: Add citation now
Ma, S., Racine, J. S., 2013. Additive regression splines with irrelevant categorical and continuous regressors. Statistica Sinica 23 (2), 515–541.
Maasoumi, E., Racine, J., Stengos, T., 2007. Growth and convergence: A proï¬le of distribution dynamics and mobility. Journal of Econometrics 136 (2), 483–508.
Meyer, R., Yu, J., 2000. BUGS for a Bayesian analysis of stochastic volatility models. Econometrics Journal 3 (2), 198–215.
- Muhsal, B., Neumeyer, N., 2010. A note on residual-based empirical likelihood kernel density estimation. Electronic Journal of Statistics 4, 1386–1401.
Paper not yet in RePEc: Add citation now
- Nadaraya, E. A., 1964. On estimating regression. Theory of Probability and its Applications 9 (1), 141–142.
Paper not yet in RePEc: Add citation now
- Neumeyer, N., Dette, H., 2007. Testing for symmetric error distribution in nonparametric regression models. Statistica Sinica 17 (2), 775–795.
Paper not yet in RePEc: Add citation now
Racine, J., Li, Q., 2004. Nonparametric estimation of regression functions with both categorical and continuous data. Journal of Econometrics 119 (1), 99–130.
- Roberts, G. O., Rosenthal, J. S., 2009. Examples of adaptive MCMC. Journal of Computational and Graphical Statistics 18 (2), 349–367.
Paper not yet in RePEc: Add citation now
- Samb, R., 2011. Nonparametric estimation of the density of regression errors. Comptes Rendus Mathematique 349 (23–24), 1281–1285.
Paper not yet in RePEc: Add citation now
- Su, L., Chen, Y., Ullah, A., 2009. Functional coefï¬cient estimation with both categorical and continuous data. In: Li, Q., Racine, J. (Eds.), Advances in Econometrics. Vol. 25. Emerald Group Publishing Limited, pp. 131–167.
Paper not yet in RePEc: Add citation now
Tse, Y. K., Zhang, X., Yu, J., 2004. Estimation of hyperbolic diffusion using the Markov chain Monte Carlo method. Quantitative Finance 4 (2), 158–169.
- URL http://arxiv.org/pdf/1006.3690v1.pdf Geweke, J., 2009. Complete and Incomplete Econometric Models. Princeton University Press, New Jersey.
Paper not yet in RePEc: Add citation now
- URL http://www.buseco.monash.edu.au/ebs/pubs/wpapers/2011/wp10-11.pdf −4 −2 0 2 4 0.00.10.20.30.40.5 Percentage daily return Probabilitydensityfunction −5 −4 −3 −2 −1 0 1 2 3 4 5 Bayesian (continuous type) Bayesian (mixed types) CV
Paper not yet in RePEc: Add citation now
URL http://www.buseco.monash.edu.au/ebs/pubs/wpapers/2011/wp24-11.pdf Zhang, X., King, M. L., Hyndman, R. J., 2006. A Bayesian approach to bandwidth selection for multivariate kernel density estimation. Computational Statistics and Data Analysis 50 (11), 3009–3031.
- Watson, G., 1964. Smooth regression analysis. Sankhya: The Indian Journal of Statistics, Series A 26 (4), 359–372.
Paper not yet in RePEc: Add citation now
Yuan, A., de Gooijer, J. G., 2007. Semiparametric regression with kernel error model. Scandinavian Journal of Statistics 34 (4), 841–869.
Zhang, X., King, M. L., 2011. Bayesian semiparametric GARCH models. Working paper 11/24, Monash University.
Zhang, X., King, M. L., Shang, H. L., 2011. Bayesian estimation of bandwidths for a nonparametric regression model with a flexible error density. Working paper 11/10, Department of Econometrics & Business Statistics, Monash University.