Ph.D. Students
- Jiang Wang,
`High-dimensional Estimation of Autocovariances and Inverse Autocovariances'
(Dept. of Mathematics, UCSD, 2024).
- Yunyi Zhang,
`Regression with Complex Data: Regularization, Prediction and
Bootstrap'
(Dept. of Mathematics, UCSD, 2022).
- Yiren Wang,
`Towards a Theoretical Foundation of the Model-free Bootstrap for Regression and Time Series'
(Dept. of Mathematics, UCSD, 2021).
- Jie Chen,
`Prediction in Time Series Models and Model-free Inference with a
Specialization in
Financial Return Data'
(Dept. of Mathematics, UCSD, 2018).
- Srinjoy Das,
`Model-Based and Model-Free Prediction Techniques for
Locally Stationary Time Series and Random Fields'
(Dept. of Electrical and Computer Engineering, UCSD, 2018---coadvisor
with Kenneth Kreutz-Delgado).
- Tingyi Zhu,
`Kernel methods in nonparametric functional time
series'
(Dept. of Mathematics, UCSD, 2017).
- Nan Zou,
`Bootstrap Tests for unit root and seasonal unit root'
(Dept. of Mathematics, UCSD, 2017).
- Liang Wang,
`Topics in Transformation-based Statistical
Methods'
(Dept. of Mathematics, UCSD, 2015).
- Li Pan,
`Bootstrap Prediction Intervals for Time Series'
(Dept. of Mathematics, UCSD, 2013).
- William Garner,
`Resampling Inhomogeneous Marked Point Processes'
(Dept. of Mathematics, UCSD, 2011).
- Chris Chang,
`Topics in Nonparametric Statistics'
(Dept. of Mathematics, UCSD, 2011).
- Arthur Berg,
`Nonparametric Function Estimation with Infinite-Order Kernels and Applications' (Dept. of Mathematics, UCSD, 2007).
-
Tim McMurry,
`Infinite order flat-top kernels in nonparametric regression' (Dept. of Mathematics, UCSD, 2004).
- Cameron Parker,
`Block Bootstrap Methods for Unit Root Testing' (Dept. of Mathematics, UCSD, 2003).
-
Arif Dowla,
`Local block bootstrap based inference for nonstationary time series'
(Dept. of Mathematics, UCSD, 2002).
-
Tucker McElroy,
`Statistical Inference for Parameters of Time Series Exhibiting the
Noah and Joseph Effects' (Dept. of Mathematics, UCSD, 2001).
- Zusheng Jin, `Subsampling methods for
stochastic processes based on Poisson samples'
(Dept. of Statistics, Purdue University, 1998---coadvisor: George McCabe).
Current Ph.D. students: Kejin Wu, Somak Maitra, and Dehao Dai (co-advised with Danna Zhang).
Students who have also worked with me towards their Ph.D. degree at different
universities include: L. Fenga (Univ. of Rome "Tor Vergata"), I. Vrontos (Athens
University of Economics and Business), and G. Giakoumatos (Athens
University of Economics and Business).
Post-doctoral fellows include T. McElroy, L. Fenga, C. Kirch, C. Jentsch,
F. Castro-Morales, and M. Meyer.
BACK