Dr. Leming Qu joined the faculty of the Department of Mathematics at Boise State University in 2002. He earned a B.S. in Mathematics and an M.A. in Economics from Nanjing University, and then went on to earn an M.S. in Applied Statistics and his Ph.D. in Statistics, both from Purdue University. Dr. Qu's research interests include computational statistics, statistical and computational inverse problems, statistical learning, and statistical signal and image processing.
Articles & Conference Proceedings
Copula Density Estimation by Total Variation Penalized Likelihood with Linear Equality Constraints (with Wotao Yin), Computational Statistics & Data Analysis (2012)
A copula density is the joint probability density function (PDF) of a random vector with...
Nonparametric Copula Density Estimation in Sensor Networks (with Hao Chen and Yicheng Tu), Seventh International Conference on Mobile Ad-hoc and Sensor Networks (MSN) (2011)
Statistical and machine learning is a fundamental task in sensor networks. Real world data almost...
A Semiparametric Approach for Analyzing Nonignorable Missing Data (with Hui Xie and Yi Qian), Statistica Sinica (2011)
In missing data analysis, there is often a need to assess the sensitivity of key...
Rayleigh Wave Dispersion Curve Inversion: Occam Versus the L1-Norm (with Matthew M. Haney), SEG Expanded Abstracts (2010)
We compare inversions of Rayleigh wave dispersion curves for shear wave velocity depth profiles based...
Wavelet Image Restoration and Regularization Parameters Selection, Fourth International Conference on Frontier of Computer Science and Technology (2009)
For the restoration of an image based on its noisy distorted observations, we propose wavelet...
Dissertation
On Semiparametric Regression via Wavelets, ETD Collection for Purdue University (2002)
Semiparametric regression models have a linear part as in the linear regression and a nonlinear...