Tingting of Zhang
Tingting of Zhang
Associate Professor of Statistics, University of Pittsburgh
Verified email at
Cited by
Cited by
Phylogenomics of nonavian reptiles and the structure of the ancestral amniote genome
AM Shedlock, CW Botka, S Zhao, J Shetty, T Zhang, JS Liu, ...
Proceedings of the National Academy of Sciences 104 (8), 2767-2772, 2007
Spatial Bayesian variable selection and grouping for high-dimensional scalar-on-image regression
F Li, T Zhang, Q Wang, MZ Gonzalez, EL Maresh, JA Coan
The Annals of Applied Statistics 9 (2), 687-713, 2015
Correlation pursuit: forward stepwise variable selection for index models
W Zhong, T Zhang, Y Zhu, JS Liu
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2012
A dynamic directional model for effective brain connectivity using electrocorticographic (ECoG) time series
T Zhang, J Wu, F Li, B Caffo, D Boatman-Reich
Journal of the American Statistical Association 110 (509), 93-106, 2015
A semi-parametric model of the hemodynamic response for multi-subject fMRI data
T Zhang, F Li, L Beckes, JA Coan
NeuroImage 75, 136-145, 2013
Nonparametric inference of doubly stochastic Poisson process data via the kernel method
T Zhang, SC Kou
The annals of applied statistics 4 (4), 1913, 2010
Bayesian inference of high-dimensional, cluster-structured ordinary differential equation models with applications to brain connectivity studies
T Zhang, Q Yin, B Caffo, Y Sun, D Boatman-Reich
The Annals of Applied Statistics 11 (2), 868-897, 2017
Reaver: a program for improved analysis of high‐resolution vascular network images
BA Corliss, RW Doty, C Mathews, PA Yates, T Zhang, SM Peirce
Microcirculation 27 (5), e12618, 2020
A semi-parametric nonlinear model for event-related fMRI
T Zhang, F Li, MZ Gonzalez, EL Maresh, JA Coan
NeuroImage 97, 178-187, 2014
Nonparametric inference of the hemodynamic response using multi-subject fMRI data
T Zhang, F Li, L Beckes, C Brown, JA Coan
NeuroImage 63 (3), 1754-1765, 2012
A low-rank multivariate general linear model for multi-subject fMRI data and a non-convex optimization algorithm for brain response comparison
T Zhang, M Pham, J Sun, G Yan, H Li, Y Sun, MZ Gonzalez, JA Coan
NeuroImage 173, 580-591, 2018
Efficient algorithm for sparse tensor-variate gaussian graphical models via gradient descent
P Xu, T Zhang, Q Gu
Artificial Intelligence and Statistics, 923-932, 2017
Nonparametric hierarchical Bayes analysis of binomial data via Bernstein polynomial priors
T Zhang, JS Liu
Canadian Journal of Statistics 40 (2), 328-344, 2012
Bayesian inference of a directional brain network model for intracranial EEG data
T Zhang, Y Sun, H Li, G Yan, S Tanabe, R Miao, Y Wang, BS Caffo, ...
Computational Statistics & Data Analysis 144, 106847, 2020
Linear and Non-linear Models for fMRI Time Series Analysis
T Zhang, H Shen, F Li
Handbook of Neuroimaging Data Analysis, 309, 2016
A Bayesian State-Space Approach to Mapping Directional Brain Networks
H Li, Y Wang, G Yan, Y Sun, S Tanabe, CC Liu, MS Quigg, T Zhang
Journal of the American Statistical Association 116 (536), 1637-1647, 2021
Mapping epileptic directional brain networks using intracranial EEG data
H Li, Y Wang, S Tanabe, Y Sun, G Yan, MS Quigg, T Zhang
Biostatistics 22 (3), 613-628, 2021
The Most Difference in Means: A Statistic for Null and Near-Zero Results
BA Corliss, TR Brown, T Zhang, KA Janes, H Shakeri, PE Bourne
arXiv preprint arXiv:2201.01239, 2022
High-Dimensional Directional Brain Network Analysis for Focal Epileptic Seizures
Y Wang, G Yan, S Tanabe, CC Liu, S Moosa, MS Quigg, T Zhang
arXiv preprint arXiv:2208.07991, 2022
Accurate estimation of intrinsic biases for improved analysis of bulk and single-cell chromatin accessibility sequencing data using SELMA
SS Hu, L Liu, Q Li, W Ma, MJ Guertin, CA Meyer, K Deng, T Zhang, ...
bioRxiv, 2021.10. 22.465530, 2022
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