Zheng, Tian
(as bibtex)
Elsewhere:
[math people]
[google]
[google scholar]
Articles (16)

Zheng, Tian, Ma, Yuting.
Boosted sparse nonlinear distance metric learning.
Statistical Analysis and Data Mining: The ASA Data Science Journal
2016.
9:117134

Zheng, Tian, Chan, Aik Hui, Tan, Linda S. L..
Topicadjusted visibility metric for scientific articles.
The Annals of Applied Statistics
2016.
10:131

Zheng, Tian, McCormick, Tyler H..
Latent demographic profile estimation in
hardtoreach groups.
The Annals of Applied Statistics
2012.
6:17951813

McCormick, Tyler H., Salganik, Matthew J., Zheng, Tian.
How many people do you know?: Efficiently estimating personal network size.
Journal of the American Statistical Association
2010.
105:5970

Zheng, Tian, Gastwirth, Joseph L..
On bootstrap tests of symmetry about an unknown median.
Journal of Data Science
2010.
8:397412

Zheng, Tian, McCormick, Tyler H..
Towards a unified framework for inference with aggregated relational data.

Chernoff, Herman, Lo, ShawHwa, Zheng, Tian.
Discovering influential variables: A method of partitions.
The Annals of Applied Statistics
2009.
3:13351369

Chernoff, Herman, Lo, ShawHwa, Zheng, Tian.
Discovering influential variables: A method of partitions.
The Annals of Applied Statistics
2009.
3:13351369

Zheng, Tian, Lo, ShawHwa, Chernoff, Herman.
Discovering influential variables: A method of
partitions.
The Annals of Applied Statistics
2009.
3:13351369

Lo, ShawHwa, Zheng, Tian.
Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies.
Statistical Science
2008.
23:321324

Zheng, Tian, Lo, ShawHwa.
Comment on ``Quantifying the fraction of missing information for hypothesis testing in statistical and genetic studies'' (Pkg: p287331).
Statistical Science
2008.
23:321324

Zheng, Tian, Lo, ShawHwa.
A modified Kendall rankorder association test for evaluating the repeatability of two studies with a large number of objects.

McCormick, Tyler, Zheng, Tian.
Adjusting for recall bias in 'how many X's do you know?' surveys.

McCormick, Tyler, Zheng, Tian.
Adjusting for recall bias in 'how many X's do you know?' surveys.

Zheng, Tian, Salganik, Matthew J., Gelman, Andrew.
How many people do you know in prison?: Using overdispersion in count data to estimate social structure in networks.
Journal of the American Statistical Association
2006.
101:409423

Ding, Yuejing, Zheng, Tian.
Treebased integration of oneversussome (OVS) classifiers for multiclass classification.