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Babak Shahbaba - Publications

Affiliations: 
Statistics - Ph.D. University of California, Irvine, Irvine, CA 
Area:
Statistics, Mathematics
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27 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Lan S, Holbrook A, Elias GA, Fortin NJ, Ombao H, Shahbaba B. Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices. Bayesian Analysis. 15: 1199-1228. PMID 33868547 DOI: 10.1214/19-ba1173  0.55
2020 Gao X, Shen W, Shahbaba B, Fortin NJ, Ombao H. Evolutionary State-Space Model and Its Application to Time-Frequency Analysis of Local Field Potentials. Statistica Sinica. 30: 1561-1582. PMID 32774073 DOI: 10.5705/Ss.202017.0420  0.349
2020 Lan S, Holbrook A, Elias GA, Fortin NJ, Ombao H, Shahbaba B. Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices Bayesian Analysis. 15: 1199-1228. DOI: 10.1214/19-Ba1173  0.586
2019 Li L, Holbrook A, Shahbaba B, Baldi P. Neural network gradient Hamiltonian Monte Carlo. Computational Statistics. 34: 281-299. PMID 31695242 DOI: 10.1007/S00180-018-00861-Z  0.402
2018 Holbrook A, Lan S, Vandenberg-Rodes A, Shahbaba B. 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. PMID 31105358 DOI: 10.1080/00949655.2017.1416470  0.577
2018 Zhang C, Shahbaba B, Zhao H. Variational Hamiltonian Monte Carlo via Score Matching Bayesian Analysis. 13: 485-506. DOI: 10.1214/17-Ba1060  0.422
2018 Gao X, Shahbaba B, Ombao H. Modeling Binary Time Series Using Gaussian Processes with Application to Predicting Sleep States Journal of Classification. 35: 549-579. DOI: 10.1007/S00357-018-9268-8  0.329
2017 Zhang C, Shahbaba B, Zhao H. Variational Hamiltonian Monte Carlo via Score Matching. Bayesian Analysis. 13: 485-506. PMID 37151569 DOI: 10.1214/17-ba1060  0.329
2017 Zhang C, Shahbaba B, Zhao H. Hamiltonian Monte Carlo acceleration using surrogate functions with random bases. Statistics and Computing. 27: 1473-1490. PMID 28983154 DOI: 10.1007/S11222-016-9699-1  0.438
2016 Albitar M, Shahbaba B, Agersborg S, Chang R, Albitar A, Uyeji D, Luchetta G, Su H, Zhang H. Development and Validation of Automated Flow Cytometry System for the Diagnosis and Prediction of Molecular Abnormalities in Myelodysplastic Syndrome Blood. 128: 1977-1977. DOI: 10.1182/Blood.V128.22.1977.1977  0.314
2016 Zhang C, Shahbaba B, Zhao H. Precomputing strategy for Hamiltonian Monte Carlo method based on regularity in parameter space Computational Statistics. 32: 253-279. DOI: 10.1007/S00180-016-0683-1  0.403
2016 Vandenberg-Rodes A, Moftakhari HR, AghaKouchak A, Shahbaba B, Sanders BF, Matthew RA. Projecting nuisance flooding in a warming climate using generalized linear models and Gaussian processes Journal of Geophysical Research: Oceans. 121: 8008-8020. DOI: 10.1002/2016Jc012084  0.318
2015 Lan S, Stathopoulos V, Shahbaba B, Girolami M. Markov Chain Monte Carlo from Lagrangian Dynamics. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 24: 357-378. PMID 26240515 DOI: 10.1080/10618600.2014.902764  0.551
2015 Lan S, Palacios JA, Karcher M, Minin VN, Shahbaba B. An Efficient Bayesian Inference Framework for Coalescent-Based Nonparametric Phylodynamics. Bioinformatics (Oxford, England). PMID 26093147 DOI: 10.1093/Bioinformatics/Btv378  0.525
2015 Lan S, Stathopoulos V, Shahbaba B, Girolami M. Markov Chain Monte Carlo from Lagrangian Dynamics Journal of Computational and Graphical Statistics. 24: 357-378. DOI: 10.1080/10618600.2014.902764  0.458
2014 Lan S, Zhou B, Shahbaba B. Spherical Hamiltonian Monte Carlo for Constrained Target Distributions. Jmlr Workshop and Conference Proceedings. 32: 629-637. PMID 25914759  0.55
2014 Lan S, Streets J, Shahbaba B. Wormhole Hamiltonian Monte Carlo. Proceedings of the ... Aaai Conference On Artificial Intelligence. Aaai Conference On Artificial Intelligence. 2014: 1953-1959. PMID 25861551  0.492
2014 Shahbaba B, Zhou B, Lan S, Ombao H, Moorman D, Behseta S. A semiparametric Bayesian model for detecting synchrony among multiple neurons. Neural Computation. 26: 2025-51. PMID 24922500 DOI: 10.1162/Neco_A_00631  0.547
2014 Byrne S, Girolami M, Diaconis P, Seiler C, Holmes S, Dryden IL, Kent JT, Pereyra M, Shahbaba B, Lan S, Streets J, Simpson D. Discussion of the article ‘Geodesic Monte Carlo on Embedded Manifolds’ by Simon Byrne and Mark Girolami Scandinavian Journal of Statistics. 41: 1-2. DOI: 10.1111/Sjos.12081  0.498
2014 Shahbaba B, Lan S, Streets J. Contribution to the Discussion of the Paper ‘Geodesic Monte Carlo on Embedded Manifolds’ Scandinavian Journal of Statistics. 41: 14-15. DOI: 10.1111/Sjos.12065  0.569
2013 Zhou B, Konstorum A, Duong T, Tieu KH, Wells WM, Brown GG, Stern HS, Shahbaba B. A hierarchical modeling approach to data analysis and study design in a multi-site experimental fMRI study. Psychometrika. 78: 260-78. PMID 25107616 DOI: 10.1007/S11336-012-9298-9  0.31
2013 Shahbaba B, Johnson WO. Bayesian nonparametric variable selection as an exploratory tool for discovering differentially expressed genes. Statistics in Medicine. 32: 2114-26. PMID 23172736 DOI: 10.1002/Sim.5680  0.309
2013 Shahbaba B, Lan S, Johnson WO, Neal RM. Split Hamiltonian Monte Carlo Statistics and Computing. 24: 339-349. DOI: 10.1007/S11222-012-9373-1  0.557
2012 Shahbaba B, Shachaf CM, Yu Z. A pathway analysis method for genome-wide association studies. Statistics in Medicine. 31: 988-1000. PMID 22302470 DOI: 10.1002/Sim.4477  0.316
2009 Shahbaba B, Gentles AJ, Beyene J, Plevritis SK, Greenwood CMT. A Bayesian nonparametric method for model evaluation: Application to genetic studies Journal of Nonparametric Statistics. 21: 379-396. DOI: 10.1080/10485250802613558  0.383
2007 Shahbaba B, Neal RM. Improving classification when a class hierarchy is available using a hierarchy-based prior Bayesian Analysis. 2: 221-237. DOI: 10.1214/07-Ba209  0.335
2006 Shahbaba B, Neal RM. Gene function classification using Bayesian models with hierarchy-based priors. Bmc Bioinformatics. 7: 448. PMID 17038174 DOI: 10.1186/1471-2105-7-448  0.344
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