Selected Publications
Wang, Y. and Zou, J. (2010). Vast volatility matrix estimation for
high-frequency financial data. Annals of Statistics 38, 943-978.
Download: pdf file
Wang, Y. (2011). Quantum Monte Carlo Simulation.
Annals of Applied Statistics 5, 669-683.
Download: pdf file
Jun Shao, Yazhen Wang, Xinwei Deng and Sijian Wang (2011).
Sparse linear discriminant analysis by thresholding for high dimensional data. Annals of Statistics 39, 1241-1265.
Download: pdf file
Tao, M., Wang, Y., Yao, Q. and Zou, J. (2011). Large Volatility
Matrix Inference via Combining Low-Frequency and High-Frequency
Approaches. Journal of the American Statistical Association 106,
1025-1040. Download: pdf file
Wang, Y. (2012). Quantum Computation and Quantum Information.
Statistical Science 27, 373-394. Download:
pdf file
Tao, M., Wang, Y. and Chen, X. (2013). Fast Convergence Rates in
Estimating Large Volatility Matrices Using High-Frequency Financial
Data. Econometric Theory 29 (4), 838-856.
Download: pdf file
Tao, M., Wang, Y. and Zhou, H. H. (2013).
Optimal Sparse Volatility Matrix Estimation for High Dimensional
It^o Processes With Measurement Errors.
Annals of Statistics 41, 1816-1864.
Download: pdf file
Wang, Y. (2013). Asymptotic Equivalence of Quantum State
Tomography and Noisy Matrix Completion. Annals of Statistics 41,
2462-2504. Download: pdf
file
Optimal Large-Scale Quantum State Tomography With Pauli
Measurements (2016, with Cai, Kim, Yuan and Zhou).
Ann. Statist. 44, 682-712.
Download: pdf file
Kim, D. and Wang, Y. (2017). Hypothesis Tests for Large Density
Matrices of Quantum Systems Based on Pauli Measurements. Physica A 469,
31-51. Download: pdf file
Wang, Y., Wu, S. and Zou, J. (2016). Quantum Annealing With Markov
Chain Monte Carlo Simulations and D-Wave Quantum Computers.
Statistical Science 31, no 3, 362-398(DOI: 10.1214/16-STS560).
Download: pdf file
Kim, D. and Wang, Y. (2016). Sparse PCA based on high-dimensional Ito
processes with measurement errors. Journal of Multivariate Analysis 152, 172-189.
Guo, S., Wang, Y. and Yao, Q. (2017). High-dimensional and banded
vector autoregressions. To appear in Biometrika.