Book

Ombao H, Lindquist M, Thompson W and Aston J. Handbook of Statistical Methods for NeuroImaging. CRC Press. 2016. ISBN 9781482220971

  

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Papers To Appear 

Vandenberg-Roche A and Ombao H. (2017). Discussion of “Should we sample a time series more frequently?:  Decision support via multirate spectrum estimation” by G P Nason,   B Powell, D Elloitt and P Smith. Journal of the Royal Statistical Society, Series A. In Press.

 

Euan C, Ombao H and Ortega J. (2017). The Hierarchical Spectral Merger Algorithm: A New Time Series Clustering. Journal of Classification, In Press.

 

Kang H, Ombao H, Fonnesbeck C and Morgan V. (2017). A Bayesian Double Fusion Model for Resting State Brain Connectivity Using Joint Functional and Structural Data. Brain Connectivity, In Press.

 

Sayal H, Aston J, Duncan E and Ombao H. (2017). An Introduction to Wavelet Benchmarking with Application to Seasonal Adjustment. Journal of the Royal Statistical Society Series A, doi:10.1111/rssa.12241.

 

 

Selected Recent Papers 

 

Park, T, Eckley I and Ombao H. (2014). Estimating the time-evolving partial coherence between signals via multivariate locally stationary wavelet processes. IEEE Transactions on Signal Processing, 62, 5240-5250.

 

Kirch C, *Muhsal B and Ombao H. (2015). Detection of Changes in Multivariate Time Series With Application to EEG data. Journal of the American Statistical Association, 110, 1197-1216.

 

Ngo D, Sun Y, Genton M, Wu J, Cramer SC, Srinivasan R and Ombao H. (2015). An Exploratory Data Analysis of Electroencephalograms Using the Functional Boxplots Approach. Frontiers in Neuroscience:  Brain Imaging Methods, 9, 282. D. NGO IS recipient of the 2016 ENAR Student Paper Award.

 

Kang H, Blume J, Ombao H and Badre D. (2015). Simultaneous Control of Error Rates in fMRI Data Analysis. NeuroImage, 123, 102-113.

 

Zhou B, Moorman D, Behseta S, Ombao H and Shababa B. (2016). A Dynamic Bayesian Model for Characterizing Cross Neuronal Interactions During Decision Making. Journal of the American Statistical Association, 111, 459-471.

 

Yu Z, Prado R, Burke E, Cramer S and Ombao H. (2016). A Hierarchical Bayesian Model for Studying the Impact of Stroke on Brain Motor Function. Journal of the American Statistical Association, 111, 549-563.

 

Fiecas M and Ombao H. (2016). Modeling the Evolution of Dynamic Brain Processes During an Associative Learning Experiment. Journal of the American Statistical Association, 111, 1440-1453.

 

Wang Y, Ting CM and Ombao H. (2016). Modeling Effective Connectivity in High Dimensional Source Signals From EEG. IEEE Journal of Selected Topics in Signal Processing, 10, 1315-1325.

 

 

 

Selected Older Papers

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Ombao, H., Raz, J., von Sachs, R. and Malow, B. (2001). Automatic Statistical Analysis of Bivariate Non-Stationary Time Series, Journal of the American Statistical Association, 96, 543-560.

 

Ombao, H., Raz, J., Strawderman, R. and von Sachs, R. (2001). A simple GCV method of span selection for periodogram smoothing, Biometrika, 88, 1186-1192.

 

Ombao, H., Raz, J., von Sachs, R. and Guo, W. (2002). The SLEX Model of Non-Stationary Random Process, Annals of the Institute of Statistical Mathematics, 54, 171 200.

 

Ombao, H., von Sachs, R. and Guo, W. (2005). SLEX Analysis of Multivariate Non-Stationary Time Series, Journal of the American Statistical Association, 100, 519-531.

 

Ombao, H. and Van Bellegem (2008). Coherence Analysis: A Linear Filtering Point Of View, IEEE Transactions on Signal Processing, 56(6), 2259-2266.

 

Fiecas, M., Ombao, H., Linkletter, C., Thompson, W. and Sanes, J.N. (2010). Functional Connectivity: Shrinkage Estimation and Randomization Test. NeuroImage, (40), 3005-3014.

 

Fiecas, M. and Ombao, H. (2011). The Generalized Shrinkage Estimator for the Analysis of Functional Connectivity of Brain Signals. Annals of Applied Statistics, 5, 1102-1125. Recipient of the 2010 Best Student Paper Award, New England Statistics Symposium

 

Gorrostieta C, Ombao H, Bedard P and Sanes J.N. (2012). Investigating Stimulus-Induced Changes in Connectivity Using Mixed Effects Vector Autoregressive Models. NeuroImage, 59, 3347-3355.

 

Gorrostieta C, Ombao H, Rrado R, Patel S and Eskandar E. (2012). Exploring Dependence Between Brain Signals in a Monkey During Learning. Journal of Time Series Analysis, 33(5), 771-778.