Submitted or In Preparation


* denotes PhD Student

[88] *Gao X, Shen W and Ombao H. (2018). Penalized Probabilistic Matrix Data Clustering and Its Application to Analyzing Local Field Potentials. In Preparation.​

[87] *Shen T, *Gao X, Yu Z and Ombao H. (2018). Change-Point Detection of High Dimensional Time Series. In Preparation.​

[86] *Hu L, Guindani M, Fortin N and Ombao H. (2018). Hierarchical Bayesian Model for Multi-Trial Brain Signals. In Preparation.

[85] *Ngo D, Lopour B, Sun Y, Shrey D, Smith R and Ombao H. (2018). A Geometric Approach to Visualization and Testing of Coherence Matrices of Multivariate Time Series. In Preparation.

[84] *Chau J, Ombao H and von Sachs R. (2018). Intrinsic data depth for Hermitian positive definite matrices. Journal of Computational and Graphical Statistics, Submitted.

[83] Barreto-Souza W and Ombao H. (2018). Negative Binomial Autoregression: A Tractable Model with Composite Likelihood-Based Inference. Biometrika, In Preparation.

[82] Das S, Ombao H and Nason G. (2018). Dissimilarity of sample covariance of periodograms, a measure for temporal non-stationarity and clustering of time series. In Preparation.

[81] *Pluta D, *Shen T, Yu Z, Chen C and Ombao H. (2018). Adaptive Mantel Tests with Applications to Neuroimaging Data. Journal of the American Statistical Association, In Preparation.

[80] *Cruz M, Gillen D, Bender M and Ombao H. (2018). Assessing Health Care Interventions via an Interrupted Time Series Model: Study Power and Design ConsiderationsStatistics in Medicine, Submitted.

[79] Fontaine C and Ombao H. (2018). Dependence Between Time Series Using Spectral-BasedMeasures Within Copula Inference. Statistics and Probability Letters, Submitted.

[78] *Yu Z, Ombao H, Prado R, Burke E and Cramer S. (2017). A Bayesian Model for Activation and Connectivity in Task-related fMRI Data. Advances in Econometrics, (Submitted). 

[77] *Sun Z and Ombao H. (2017).  Short-Term Traffic Prediction Using Mixed Autoregressive Models. In Preparation. 

[76] Ting CM, Ombao H and Sh-Hussein. (2017). Multi-Scale Factor Analysis of High-Dimensional Brain Signals. IEEE Transactions on Biomedical Engineering, (Submitted).​

[75] *Wang Y, Ting CM and Ombao H. (2017). Exploratory Methods for High Dimensional Time Series with Applications to Brain Signals. Journal of Statistical Software, In Preparation.​ [Distinguished Student Paper Award ENAR 2017].

[74] *Gao X, Ombao H and Gillen D. (2017). Fisher Information Matrix of Binary Time Series. Electronic Journal of Statistics, (Submitted).