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Tingting Zhang
Tingting Zhang
Professor of Statistics, University of Pittsburgh
Verified email at pitt.edu - Homepage
Title
Cited by
Cited by
Year
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
1642007
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
802015
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
462015
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
462012
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
382013
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
342020
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
322010
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
262017
Deep learning versus conventional methods for missing data imputation: A review and comparative study
XW Yige Sun, Jing Li, Yifan Xu, Tingting Zhang
Expert Systems with Applications, 2023
182023
A semi-parametric nonlinear model for event-related fMRI
T Zhang, F Li, MZ Gonzalez, EL Maresh, JA Coan
NeuroImage 97, 178-187, 2014
182014
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
182012
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
132018
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
132017
Nonparametric hierarchical Bayes analysis of binomial data via Bernstein polynomial priors
T Zhang, JS Liu
Canadian Journal of Statistics 40 (2), 328-344, 2012
92012
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
82021
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
82020
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
62021
Linear and Non-linear Models for fMRI Time Series Analysis
T Zhang, H Shen, F Li
Handbook of Neuroimaging Data Analysis, 309, 2016
62016
Bridging the rodent to human translational gap: Marmosets as model systems for the study of Alzheimer's disease
SJ Sukoff Rizzo, G Homanics, DJ Schaeffer, L Schaeffer, JE Park, ...
Alzheimer's & Dementia: Translational Research & Clinical Interventions 9 (3 …, 2023
42023
Intrinsic bias estimation for improved analysis of bulk and single-cell chromatin accessibility profiles using SELMA
SS Hu, L Liu, Q Li, W Ma, MJ Guertin, CA Meyer, K Deng, T Zhang, ...
Nature Communications 13 (1), 5533, 2022
4*2022
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