Research Interests:
- Nonstationary time series
- Nonlinear time series
- Matrix and Tensor time series
- High dimensional data analysis
- Algebraic statistics
- Random matrix theory
Publications:
- Cai, C., Chen, R., and Xiao, H. (2022).
Stable matrix completion using properly configured Kronecker product approximation.
Submitted.
- Chen, R, Han ,Y., Li, Z., Xiao, H., Yang, D. and Yu, R. (2022)
Analysis of tensor time series: tensorTS.
Submitted.
- Gonzalez Sopena, J., Dasgupta, T., Pakrashi, V., Xiao, H. and Ghosh, B.(2022).
How poorly does my forecast perform under a wrong ARIMA model? A decomposition-based simulation algorithm for assessment.
Submitted.
- Hao, N., Niu, Y. S., and Xiao, H (2022).
Equivariant variance estimation for multiple change-point model.
Submitted.
- Li, Z. and Xiao, H. (2022).
Multi-linear tensor autoregressive models.
arXiv:math.ST/2110.00928
- Cai, C., Chen, R., and Xiao, H. (2022).
KoPA: Automated Kronecker product approximation.
Journal of Machine Learning Research. Accepted.
- Xiao, H., Chen, R. and Guerard, J. (2022).
Forecasting the U.S. unemployment rate: another look.
Accepted.
- Cai, C., Chen, R., and Xiao, H. (2022).
Hybrid Kronecker product decomposition and approximation.
Journal Of Computational and Graphical Statistics. Accepted with minor revision.
- Xiao, H., Han, Y., Chen, R. and Liu, C. (2022).
Reduced rank autoregressive models for matrix time series.
Journal of Business & Economic Statistics. Accepted with minor revision.
- Zhu, Y., and Xiao, H. (2022).
Improved convergence rates of normal extremes.
The Festschriftof Professor David E. Tyler. To Appear.
- Zheng, T., Chen, R. and Xiao, H. (2021).
Generealized Autoregressive Moving Average Models with GARCH Errors.
Journal of Time Series Analysis., 43:125--146.
- Chen, R., Ji, Y., Jiang G., Xiao, H., Xie, R. and Zhu, P (2021).
Composite index construction with expert opinion.
Journal of Business & Economic Statistics, 0(0): 1--13. doi = 10.1080/07350015.2021.2000418
- Chen, R., Xiao, H. and Yang, D. (2021).
Autoregressive model for matrix-valued time series.
J. Econometrics, 222(1):539--560.
- Liu, X., Xiao, H. and Chen, R. (2016).
Convolutional
autoregressive models for functional time series.
J. Econometrics, 194(2):263--282.
- Drton, M. and Xiao, H. (2016).
Wald tests of singular hypotheses.
Bernoulli, 22(1):38--59.
arXiv:math.ST/1304.6746
- Zheng, T., Xiao, H. and Chen, R. (2015).
Generalized ARMA models with martingale difference errors.
J. Econometrics, 189(2):492--506.
- Xiao, H. and Wu, W. B. (2014).
Portmanteau test and simultaneous inference for serial covariances.
Supplement
Statistica Sinica, 24(2):577--600.
- Xiao, H. and Wu, W. B. (2013).
Asymptotic theory for maximum deviations of sample covariance matrix estimates.
Supplement
Stochastic Processes and their Applications, 123(7):2899--2920.
- Liu, W., Xiao, H. and Wu, W. B. (2013).
Probability and moment inequalities under dependence.
Statistica Sinica, 23(3):1257--1272.
- Xiao, H. and Wu, W. B. (2012).
Covariance matrix estimation for stationary time series.
Supplement
Annals of Statistics, 40(1):466--493.
- Xiao, H. and Wu, W. B. (2012).
Covariance matrix estimation in time series.
Handbood of Statistics, 30:187--209.
- Xiao, H. and Wu, W. B. (2011).
A single-pass algorithm for spectrum estimation with fast convergence.
IEEE Transactions on Information Theory, 57(7):4720--4732.
- Drton, M. and Xiao, H. (2010).
Finiteness of small factor analysis models.
Annals of the Institute of Statistical Mathematics., 62(4):775-783. arXiv:math.ST/0908.1736
- Drton, M. and Xiao, H. (2010).
Smoothness of Gaussian conditional independence models.
Algebraic Methods in Statistics and Probability II, Contemporary Mathematics, 516:155--177.
American Mathematical Society, Providence, RI, 2010. arXiv:math.ST/0910.5447
- Xiao, H. and Zhou, W. (2010).
Almost sure limit of the smallest eigenvalue of some sample correlation matrices.
Journal of Theoretical Probability, 23(1):1-20, 2010.
Han Xiao, June 2022