Space-Time Modeling


To Appear

  • Fiecas M, Ombao H, Van Lunen D, Baumgartner R, Coimbra A, Feng D. (2012). Quantifying Temporal Correlations: A Test-Retest Evaluation of Functional Connectivity in Resting State fMRI. NeuroImage.

  • Gorrostieta C, Ombao H, Prado R, Patel S and Eskandar E. (2012). Exploring Dependence Between Brain Signals in a Monkey During Learning. Journal of Time Series Analysis.

  • Stoffer D and Ombao H. (2012). Editorial: Special Issue on Time Series Analysis in the Biological Sciences. Journal of Time Series Analysis.

  • Ombao H. (2012). Time Series Analysis of multivariate non-stationary time series using the localised Fourier Library. Handbook of Statistics: Time Series, Elsevier.

  • Markova A, Risica P, Shaikh W, Kirtania U, Ombao H and Weinstock M. (2011). Gender in examination and counseling for melanoma in primary care. Archives of Internal Medicine.

  • Zhu T, Cohen R, Harezlak J, Ombao H, Navia B and Schiffito G. (2012). Patterns of CNS injury in HIV infection after partial immune reconstitution: A DTI tract-based spatial statistics study. Journal of Neurovirology.

  • Bender J, Koestler D, Ombao H, McCourt M, Alskinis B, Rubin L and Padbury J. (2012). Neonatal Intensive Care Unit: Predictive Models for Length of Stay. The Journal of Perinatology.


  • 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.

  • Ombao H. (2012). Discussion: Time Threshold Maps: Using information from wavelet reconstructions with all threshold values simultaneously. Journal of the Korean Statistical Society, 41, 171-172.

  • Motta, G. and Ombao, H. (2012). Evolutionary Factor Analysis of Replicated Time Series. Biometrics.

  • Kang H, Ombao H, Linkletter C, Long N and Badre D. (2012). Spatio-Spectral Mixed Effects Model for Functional Magnetic Resonance Imaging Data. Journal of the American Statistical Association.

    H. KANG is the 2011 Winner of the John Van Ryzin Award.


  • 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.

    M Fiecas, receipient of the 2010 Student Paper Award at New England Statistics Symposium at Cambridge, MA.

  • Bunea F, She Y Ombao H, Gongvatana W, Devlin K and Cohen R. (2011). Penalized Least Squares Regression Methods and Applications to Neuroimaging. NeuroImage, (55), 1519-1527.

  • Verducci J and Ombao H. (2011). Introduction to the special issue on best papers from the SLDM competition. Statistical Analysis and Data Mining, 4: 565-566.

  • Politi MC, Clark MA, Ombao H, Legare F. (2011).The Impact of Physicians Reactions to Uncertainty on Patients Decision Satisfaction. Journal of Evaluation in Clinical Practice, 17, 575-578.

  • Ito H, Matsuo K, Tanaka H, Koestler DC, Ombao H, Fulton J, Shibata A, Fujita M,Sugiyama and Mor V. (2011). Non-filter and filter cigarette consumption and the incidence of lung cancer type in Japan and

    the United States: Analysis of 30-year data from population-based cancer registries. International Journal of Cancer, 128, 175-1998.

  • Politi MC, Clark MA, Ombao H, Dizon D and Elwyn G. (2011). Communicating uncertainty can lead to less decision satisfaction: A necessary cost of involving patients in shared decision making. Health Expectations, 14, 84-91.

  • Cohen R, de la Monte S, Gongvatana A, Ombao H, Gonzalez B, Devlin K, Navia B and Tashima K. (2011). Plasma cytokine concentrations associated with HIV/hepatitis C coinfection are related to attention, executive and psychomotor functioning. Journal of Neuroimmunology, J Neuroimmunology, 233, 204-210..

  • Gongvatana A, Cohen R, Correia S, Devlin K, Miles J, Clark U, Westbrook M, Hana G, Kang H, Ombao H, Navia B, Laidlaw D and Tashima K. (2011). Clinical Contributors to Cerebral White Matter Integrity in HIV-infected Individuals. Journal of Neurovirology, 7, 477-486.


  • Gao, B., Ombao, H. and Ho, R. (2010). Cluster Analyis for Non-Stationary Time Series. In Statistical Methods for Modeling Human Dynamics: An Inter-Disciplinary Dialogue (pp. 85-122), Taylor and Francis.

  • Ombao, H. and Prado, R. (2010). A Closer Look at the Two Approaches for Clustering and Classification of Non-Stationary Time Series. In Statistical Methods for Modeling Human Dynamics: An Inter-Disciplinary Dialogue (pp ), Taylor and Francis.

  • Bohm, H., Ombao, H., von Sachs, R. and Sanes, J.N. (2010). Discrimination and Classification of Multivariate Non-Stationary Signals: The SLEX-Shrinkage Method. Journal of Statistical Planning and Inference, (140), 3754-3763.

  • Freyermuth, J-M., Ombao, H. and von Sachs, R. (2010). Spectral Estimation from Replicated Time Series: An Approach Using the Tree-Structured Wavelets Mixed Effects Model. Journal of the American Statistical Association, (105), 634-646.

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


  • Shitan, M., Ombao, H. and Ling, K-W. (2009). Spatial Modeling of Peak Frequencies of Brain Signals. Malaysian Journal of the Mathematical Sciences, 3(1), 13-26.

  • Tadjuidje,J, Ombao, H. and Davis, R. (2009). A Class of Switching Regimes Autoregressive Driven Processes with Exogenous Components. Journal of Time Series Analysis, 30, 505-533.

  • Fryzlewicz, P and Ombao, H. (2009). Consistent Classification of Non-Stationary Signals Using Stochastic Wavelet Representations. Journal of the American Statistical Association, 104, 299-312.


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

  • Ho, M, Ombao, H, Edgar, C and Miller, G. (2008). Time-Frequency Discriminant Analysis of MEG Signals. NeuroImage, 40(1), 174-186.

  • Ombao, H, Shao, X, Rykhlevskaia, E, Fabiani, M and Gratton, G. (2008). Spatio-Spectral Analysis of Brain Signals. Statistica Sinica, 18, 1465-1482.

    Pre-2008 Statistical

  • Stoffer, D. and Ombao, H. (2000). Localized Spectral Envelope. Resenhas, 4, 363-381.

  • 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.

  • Stoffer, D., Ombao, H. and Tyler, D. (2002). Evolutionary Spectral Envelope: An Approach Using the Tree-Based Adaptive Segmentation. Annals of the Institute of Statistical Mathematics, 54, 201-223.

  • Guo, W., Dai, M., Ombao, H. and von Sachs (2003). Smoothing Spline ANOVA For Time-Dependent Spectral Analysis. Journal of the American Statistical Association, 98, 643-652.

  • Pasia, J., Hermosilla, A. and Ombao, H. (2004). Genetic Algorithms: Useful Statistical Tools. Journal of Statistical Computation and Simulation, 75, 237-251.

  • Ombao, H., Heo, J., Stoffer, D. (2004). Statistical Analysis of Seismic Signals: An Almost Real Time Approach, Time Series Analysis and Applications to Geophysical Systems (eds. D. Brillinger E. Robinson and F. Schoenberg), New York: Springer Verlag, IMA Series, 139, 53-72.

  • Huang, H., Ombao, H. and Stoffer D. (2004). Classification and Discrimination of Non-Stationary Time Series Using the SLEX Model. Journal of the American Statistical Association, 99, 763-774.

  • Ho, M., Ombao, H. and Shumway, R. (2005). Modelling Brain Dynamics: A State-Space Approach, Statistica Sinica, 15, 407-425.

  • Gamalo M, Ombao H and Jennings R. (2005). Comparing Extent of Activation: A Robust Permutation Approach. NeuroImage, 24(3): 715-722.

  • 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.

  • Bunea, F., Ombao, H. and Auguste, A. (2006). Minimax Adaptive Spectral Estimation from an Ensemble of Signals. IEEE Transactions on Signal Processing, 54, 2865-2873.

  • Ho, M., Shumway, R. and Ombao, H. (2006). State-Space Models for Longitudinal Data With Applications in the Biological and Social Sciences. In Walls and Shafer (eds). Models for Intensive Longitudinal Data. New York, NY: Oxford Univ.Press.

  • Shinkareva, S., Ombao, H. and Sutton B. (2006). A Data-Driven Approach to Classification and Discrimination of fMRI Data. NeuroImage, 33, 63-71.

  • Ombao, H. and Ho, M. (2006). Time-dependent frequency domain principal components analysis of multi-channel non-stationary signals. Computational Statistics and Data Analysis, 50(9), 2339-2360.

  • Choi, H., Ombao, H. and Ray, B. (2007). Sequential Change-point Detection Method in Time Series, Technometrics, 50(1), 40-52.

    Pre-2008 Collaborative Papers

  • Buysse D, Hall M, Begley A, Cherry C, Houck P, Land S, Ombao H, Kupfer D and Frank E. (2001). REM Sleep and Treatment Response in Depression: New Findings Using Power Spectral Analysis. Psychiatry Research, 103, 51-67.

  • Fagiolini A, Frank E, Houck P, Mallinger A, Swartz H, Buysse D, Ombao H and Kupfer, D. (2002). Prevalence of Obesity and Weight Change During Treatment in patients with Bipolar I Disorder, Journal of Clinical Psychiatry, 63(6), 528-534.

  • Cranstoun S, Ombao H, von Sachs R, Guo W and Litt B. (2002). Improved Time-FrequencyAnalysis of EEG Signals Using the Auto-SLEX Method, IEEE Trans in Biomedical Engineering, 49, 988 996.

  • Nofzinger E, Buysse D, Miewald J, Meltzer C, Price J, Sembrat R, Ombao H, Reynolds C, Monk T Hall M, Kupfer D and Moore R. (2002). Human Regional Cerebral Glucose Metabolism During NREM Sleep in Relation to Waking. Brain, 125,1101-1115.

  • Moul D, Ombao H, Monk T, Chen Q and Buysse D. (2002). Masking effects of posture and sleep onset on core body temperature: a circadian rhythm of bedtime temperature drops. Journal of Biological Rhythms, 17, 447-462.

  • Julius S, Valentini C, Krause L, Ombao H, Kaciroti N. and Weder A. (2002). A "gender blind" relationship of lean body mass and blood pressure in the Tecumseh study. American Journal of Hypertension, 15(3), 258-263.

  • Raz J, Zheng H, Ombao H and Turetsky B. (2003). Statistical Test for fMRI Based on Experimental Randomization, NeuroImage, 19(2), 226-232..

  • Germain A, Buysse D, Ombao H, Monk T, Kupfer D and Hall M. (2003). Psychophysiological Reactivity and Coping Style Influence the Effect of Acute Stress on REM During Sleep. Journal of Psychosomatic Medicine, 65, 857-864.

  • Hall M, Vasko R, Buysse D, Ombao H, Chen Q, Cashmere D, Kupfer D and Thayer J. (2004). Acute Stress Affects Heart Rate Variability During Sleep. Journal of Psychosomatic Medicine, 66, 56-62.

  • Buysse D, Nofzinger E, Germaine A, Meltzer C, Wood A, Ombao H, Kupfer D and Moore, R. (2004). Regional Brain Glucose Metabolism During Morning and Evening Wakefulness in Humans: Preliminary Findings. SLEEP, 27, 1245-1254.