Babak Shahbaba
Affiliations: | Statistics - Ph.D. | University of California, Irvine, Irvine, CA |
Area:
Statistics, MathematicsGoogle:
"Babak Shahbaba"
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Publications
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Lan S, Holbrook A, Elias GA, et al. (2020) Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices. Bayesian Analysis. 15: 1199-1228 |
Gao X, Shen W, Shahbaba B, et al. (2020) Evolutionary State-Space Model and Its Application to Time-Frequency Analysis of Local Field Potentials. Statistica Sinica. 30: 1561-1582 |
Lan S, Holbrook A, Elias GA, et al. (2020) Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices Bayesian Analysis. 15: 1199-1228 |
Li L, Holbrook A, Shahbaba B, et al. (2019) Neural network gradient Hamiltonian Monte Carlo. Computational Statistics. 34: 281-299 |
Holbrook A, Lan S, Vandenberg-Rodes A, et al. (2018) Geodesic Lagrangian Monte Carlo over the space of positive definite matrices: with application to Bayesian spectral density estimation. Journal of Statistical Computation and Simulation. 88: 982-1002 |
Zhang C, Shahbaba B, Zhao H. (2018) Variational Hamiltonian Monte Carlo via Score Matching Bayesian Analysis. 13: 485-506 |
Gao X, Shahbaba B, Ombao H. (2018) Modeling Binary Time Series Using Gaussian Processes with Application to Predicting Sleep States Journal of Classification. 35: 549-579 |
Zhang C, Shahbaba B, Zhao H. (2017) Variational Hamiltonian Monte Carlo via Score Matching. Bayesian Analysis. 13: 485-506 |
Zhang C, Shahbaba B, Zhao H. (2017) Hamiltonian Monte Carlo acceleration using surrogate functions with random bases. Statistics and Computing. 27: 1473-1490 |
Albitar M, Shahbaba B, Agersborg S, et al. (2016) Development and Validation of Automated Flow Cytometry System for the Diagnosis and Prediction of Molecular Abnormalities in Myelodysplastic Syndrome Blood. 128: 1977-1977 |