Tingting Zhang

发表

Nonparametric Inference of Doubly Stochastic Poisson Process Data via the Kernel Method.

Tingting Zhang, S. Kou, 2011, The annals of applied statistics.

Nonparametric hierarchical Bayes analysis of binomial data via Bernstein polynomial priors

Jun S. Liu, Tingting Zhang, Tingting Zhang, 2012 .

Spatial Bayesian variable selection and grouping for high-dimensional scalar-on-image regression

James A. Coan, Tingting Zhang, Marlen Z. Gonzalez, 2015, 1509.04069.

Spatial Bayesian Variable Selection and Shrinkage in High-dimensional Covariate Spaces with Application to fMRI

Tingting Zhang, J. Coan, Fei Liu, 2013 .

High-Dimensional Directional Brain Network Analysis for Focal Epileptic Seizures

Tingting Zhang, S. Tanabe, G. Yan, 2022, 2208.07991.

A Dynamic Directional Model for Effective Brain Connectivity Using Electrocorticographic (ECoG) Time Series

Jingwei Wu, Brian Caffo, Fan Li, 2015, Journal of the American Statistical Association.

Spatial-Temporal Analysis of Multi-Subject Functional Magnetic Resonance Imaging Data

Sara E. Medina-DeVilliers, Tingting Zhang, J. Coan, 2021, Econometrics and Statistics.

A low-rank multivariate general linear model for multi-subject fMRI data and a non-convex optimization algorithm for brain response comparison

Tingting Zhang, Minh Pham, Jianhui Sun, 2017, NeuroImage.

A semi-parametric model of the hemodynamic response for multi-subject fMRI data

Fan Li, Tingting Zhang, Lane Beckes, 2013, NeuroImage.

Correlation pursuit: forward stepwise variable selection for index models

Wenxuan Zhong, Yu Zhu, Jun S. Liu, 2012, Journal of the Royal Statistical Society. Series B, Statistical methodology.

A Bayesian State-Space Approach to Mapping Directional Brain Networks

Seiji Tanabe, Tingting Zhang, Guofen Yan, 2020, Journal of the American Statistical Association.

A semi-parametric nonlinear model for event-related fMRI

Tingting Zhang, Fan Li, James A. Coan, 2014, NeuroImage.

Nonparametric inference of the hemodynamic response using multi-subject fMRI data

Fan Li, Casey Brown, Tingting Zhang, 2012, NeuroImage.

Bayesian inference of high-dimensional, cluster-structured ordinary differential equation models with applications to brain connectivity studies

Brian S. Caffo, Dana Boatman-Reich, Tingting Zhang, 2017 .

Bayesian inference of a directional brain network model for intracranial EEG data

Brian S. Caffo, Tingting Zhang, Mark Quigg, 2020, Comput. Stat. Data Anal..

Mapping epileptic directional brain networks using intracranial EEG data.

Seiji Tanabe, Tingting Zhang, Yinge Sun, 2019, Biostatistics.

A variational Bayesian approach to identifying whole-brain directed networks with fMRI data

Tingting Zhang, D. Tudorascu, G. Yan, 2023, The Annals of Applied Statistics.

Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent

Tingting Zhang, Quanquan Gu, Pan Xu, 2017, AISTATS.

Nonparametric Inference of Hemodynamic Response for Multi-Subject fMRI Data under Multi-Stimulus Design

Fan Li, Lane Beckes, James A. Coan, 2011 .