| 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 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2017 |
Ma W, Dios ID, Funari V, Shahbaba B, Blocker F, Albitar M. Using Targeted Enrichment RNA Sequencing in the Diagnosis of Hematologic Neoplasms in Fresh and Paraffin-Embedded Tissue Blood. 130: 5118-5118. DOI: 10.1182/Blood.V130.Suppl_1.5118.5118 |
0.297 |
|
| 2011 |
Shahbaba B, Tibshirani R, Shachaf CM, Plevritis SK. Bayesian gene set analysis for identifying significant biological pathways. Journal of the Royal Statistical Society. Series C, Applied Statistics. 60: 541-557. PMID 21857748 DOI: 10.1111/J.1467-9876.2011.00765.X |
0.29 |
|
| 2016 |
Zhou B, Moorman DE, Behseta S, Ombao H, Shahbaba B. A Dynamic Bayesian Model for Characterizing Cross-Neuronal Interactions During Decision-Making. Journal of the American Statistical Association. 111: 459-471. PMID 27990034 DOI: 10.1080/01621459.2015.1116988 |
0.285 |
|
| 2020 |
Xu-Monette ZY, Zhang H, Zhu F, Tzankov A, Bhagat G, Visco C, Dybkaer K, Chiu A, Tam W, Zu Y, Hsi ED, You H, Huh J, Ponzoni M, Ferreri AJM, ... ... Shahbaba B, et al. A refined cell-of-origin classifier with targeted NGS and artificial intelligence shows robust predictive value in DLBCL. Blood Advances. 4: 3391-3404. PMID 32722783 DOI: 10.1182/Bloodadvances.2020001949 |
0.279 |
|
| 2019 |
Albitar M, Xu-Monette ZY, Shahbaba B, De Dios I, Wang Y, Manman D, Tzankov A, Visco C, Bhagat G, Dybkær K, Tam W, Hsi ED, Ponzoni M, Ferreri AJ, Moller M, et al. Cell of Origin Classification of DLBCL Using Targeted NGS Expression Profiling and Deep Learning Blood. 134: 2891-2891. DOI: 10.1182/Blood-2019-126927 |
0.267 |
|
| 2020 |
Baldi P, Shahbaba B. Bayesian Causality. The American Statistician. 74: 249-257. PMID 33041343 DOI: 10.1080/00031305.2019.1647876 |
0.263 |
|
| 2016 |
Agostinelli F, Ceglia N, Shahbaba B, Sassone-Corsi P, Baldi P. What time is it? Deep learning approaches for circadian rhythms. Bioinformatics (Oxford, England). PMID 27542773 DOI: 10.1093/Bioinformatics/Btw504 |
0.26 |
|
| 2009 |
Gentles AJ, Alizadeh AA, Lee SI, Myklebust JH, Shachaf CM, Shahbaba B, Levy R, Koller D, Plevritis SK. A pluripotency signature predicts histologic transformation and influences survival in follicular lymphoma patients. Blood. 114: 3158-66. PMID 19636063 DOI: 10.1182/Blood-2009-02-202465 |
0.245 |
|
| 2017 |
Albitar M, Ma W, Lund L, Shahbaba B, Uchio E, Feddersen S, Moylan D, Wojno K, Shore N. A Multi-Center Prospective Study to Validate an Algorithm Using Urine and Plasma Biomarkers for Predicting Gleason ≥3+4 Prostate Cancer on Biopsy. Journal of Cancer. 8: 2554-2560. PMID 28900493 DOI: 10.7150/Jca.20031 |
0.241 |
|
| 2019 |
Li L, Pluta D, Shahbaba B, Fortin N, Ombao H, Baldi P. Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes. Advances in Neural Information Processing Systems. 32: 8263-8273. PMID 33041607 |
0.241 |
|
| 2016 |
Agostinelli F, Ceglia N, Shahbaba B, Sassone-Corsi P, Baldi P. What time is it? Deep learning approaches for circadian rhythms. Bioinformatics (Oxford, England). 32: i8-i17. PMID 27307647 DOI: 10.1093/Bioinformatics/Btw243 |
0.239 |
|
| 2015 |
Burke Quinlan E, Dodakian L, See J, McKenzie A, Le V, Wojnowicz M, Shahbaba B, Cramer SC. Neural function, injury, and stroke subtype predict treatment gains after stroke. Annals of Neurology. 77: 132-45. PMID 25382315 DOI: 10.1002/Ana.24309 |
0.234 |
|
| 2015 |
Entringer S, Epel ES, Lin J, Blackburn EH, Buss C, Shahbaba B, Gillen DL, Venkataramanan R, Simhan HN, Wadhwa PD. Maternal Folate Concentration in Early Pregnancy and Newborn Telomere Length. Annals of Nutrition & Metabolism. 66: 202-8. PMID 26067849 DOI: 10.1159/000381925 |
0.226 |
|
| 2019 |
Zhu J, Hancock AM, Qi L, Telkmann K, Shahbaba B, Chen Z, Frostig RD. Spatiotemporal dynamics of pial collateral blood flow following permanent middle cerebral artery occlusion in a rat model of sensory-based protection: a Doppler optical coherence tomography study. Neurophotonics. 6: 045012. PMID 31824979 DOI: 10.1117/1.Nph.6.4.045012 |
0.225 |
|
| 2009 |
Shahbaba B, Neal R. Nonlinear models using dirichlet process mixtures Journal of Machine Learning Research. 10: 1829-1850. |
0.225 |
|
| 2012 |
Buss C, Davis EP, Shahbaba B, Pruessner JC, Head K, Sandman CA. Maternal cortisol over the course of pregnancy and subsequent child amygdala and hippocampus volumes and affective problems. Proceedings of the National Academy of Sciences of the United States of America. 109: E1312-9. PMID 22529357 DOI: 10.1073/Pnas.1201295109 |
0.222 |
|
| 2018 |
Albitar M, Ma W, Lund L, Shahbaba B, Uchio E, Feddersen S, Moylan D, Wojno K, Shore N. Prostatectomy-based validation of combined urine and plasma test for predicting high grade prostate cancer. The Prostate. PMID 29315679 DOI: 10.1002/Pros.23473 |
0.222 |
|
| 2013 |
Pearson-Fuhrhop KM, Minton B, Acevedo D, Shahbaba B, Cramer SC. Genetic variation in the human brain dopamine system influences motor learning and its modulation by L-Dopa. Plos One. 8: e61197. PMID 23613810 DOI: 10.1371/Journal.Pone.0061197 |
0.22 |
|
| 2011 |
Shahbaba B, Yu Y, van Dyk DA. Comment on Article by Polson and Scott Bayesian Analysis. 6: 31-36. DOI: 10.1214/11-Ba601B |
0.217 |
|
| 2014 |
Shahbaba B. Comment on Article by Finegold and Drton Bayesian Analysis. 9: 557-560. DOI: 10.1214/14-Ba899 |
0.216 |
|
| 2017 |
Albitar M, Ma W, Lund L, Shahbaba B, Uchio E, Feddersen S, Moylan D, Wojno K, Shore N. MP33-06 COMBINED URINE AND PLASMA BIOMARKERS ARE HIGHLY ACCURATE FOR PREDICTING HIGH GRADE PROSTATE CANCER Journal of Urology. 197. DOI: 10.1016/J.Juro.2017.02.1002 |
0.215 |
|
| 2020 |
Erani F, Zolotova N, Vanderschelden B, Khoshab N, Sarian H, Nazarzai L, Wu J, Chakravarthy B, Hoonpongsimanont W, Yu W, Shahbaba B, Srinivasan R, Cramer SC. Electroencephalography Might Improve Diagnosis of Acute Stroke and Large Vessel Occlusion. Stroke. STROKEAHA120030150. PMID 32942967 DOI: 10.1161/Strokeaha.120.030150 |
0.213 |
|
| 2019 |
Erani F, Zolotova N, Vanderschelden B, Wu JC, Wodeyar A, Sarian H, Chakravarthy B, Hoonpongsimanont W, Yu W, Srinivasan R, Shahbaba B, Cramer SC. Abstract TP314: EEG Has High Precision for Diagnosing Stroke Hours After Onset Stroke. 50. DOI: 10.1161/Str.50.Suppl_1.Tp314 |
0.212 |
|
| 2015 |
Moog NK, Buss C, Entringer S, Shahbaba B, Gillen DL, Hobel CJ, Wadhwa PD. Maternal Exposure to Childhood Trauma Is Associated During Pregnancy with Placental-Fetal Stress Physiology. Biological Psychiatry. PMID 26444076 DOI: 10.1016/J.Biopsych.2015.08.032 |
0.212 |
|
| 2018 |
Cramer SC, Liu BJ, Edwardson MA, See J, Wang X, Radom-Aizik S, Shahbaba B, Wolf SL, Dromerick A, Winstein C. Abstract 23: BDNF val 66 met Genotype is Associated With Greater Brain Atrophy After Stroke Stroke. 49. DOI: 10.1161/Str.49.Suppl_1.23 |
0.208 |
|
| 2013 |
Entringer S, Epel ES, Lin J, Buss C, Shahbaba B, Blackburn EH, Simhan HN, Wadhwa PD. Maternal psychosocial stress during pregnancy is associated with newborn leukocyte telomere length. American Journal of Obstetrics and Gynecology. 208: 134.e1-7. PMID 23200710 DOI: 10.1016/J.Ajog.2012.11.033 |
0.2 |
|
| 2018 |
Manuck TA, Boggess KA, Saade G, Sullivan SA, Markenson GR, Iams JD, Coonrod DV, Pereira L, Esplin MS, Lam GK, Hoffman MK, Shahbaba B, Critchfield GC, Fox AC, Dufford MT, et al. 658: Prediction of pregnancy outcomes from serum and clinical factors in women receiving 17-alpha hydroxyprogesterone caproate (17-OHPC) American Journal of Obstetrics and Gynecology. 218: S394-S395. DOI: 10.1016/J.Ajog.2017.11.188 |
0.191 |
|
| 2017 |
Holbrook A, Vandenberg-Rodes A, Fortin N, Shahbaba B. A Bayesian supervised dual-dimensionality reduction model for simultaneous decoding of LFP and spike train signals. Stat (International Statistical Institute). 6: 53-67. PMID 28529731 DOI: 10.1002/sta4.137 |
0.177 |
|
| 2021 |
Lomeli LM, Iniguez A, Tata P, Jena N, Liu ZY, Van Etten R, Lander AD, Shahbaba B, Lowengrub JS, Minin VN. Optimal experimental design for mathematical models of haematopoiesis. Journal of the Royal Society, Interface. 18: 20200729. PMID 33499768 DOI: 10.1098/rsif.2020.0729 |
0.173 |
|
| 2015 |
Perenc L, Przysada G, Trzeciak J, Costa-Carvalho BT, Hix S, Silva Rd, Sarni ROS, Vieira DG, Andrade IGA, Kochi C, Suano-Souza FI, Entringer S, Epel ES, Lin J, Blackburn EH, ... ... Shahbaba B, et al. Contents Vol. 66, 2015 Annals of Nutrition and Metabolism. 66. DOI: 10.1159/000438687 |
0.173 |
|
| 2022 |
Shahbaba B, Li L, Agostinelli F, Saraf M, Cooper KW, Haghverdian D, Elias GA, Baldi P, Fortin NJ. Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events. Nature Communications. 13: 787. PMID 35136052 DOI: 10.1038/s41467-022-28057-6 |
0.121 |
|
| 2009 |
Shahbaba B. Discovering Hidden Structures Using Mixture Models: Application to Nonlinear Time Series Processes Studies in Nonlinear Dynamics & Econometrics. 13. DOI: 10.2202/1558-3708.1609 |
0.119 |
|
| 2023 |
Duan J, Ngo MN, Karri SS, Tsoi LC, Gudjonsson JE, Shahbaba B, Lowengrub J, Andersen B. tauFisher accurately predicts circadian time from a single sample of bulk and single-cell transcriptomic data. Biorxiv : the Preprint Server For Biology. PMID 37066246 DOI: 10.1101/2023.04.04.535473 |
0.114 |
|
| 2015 |
Shahbaba B, Behseta S, Vandenberg-Rodes A. Neuronal spike train analysis using Gaussian process models Nonparametric Bayesian Inference in Biostatistics. 271-286. DOI: 10.1007/978-3-319-19518-6_13 |
0.102 |
|
| 2023 |
Ren Y, Shahbaba B, Stark CEL. Improving clinical efficiency in screening for cognitive impairment due to Alzheimer's. Alzheimer's & Dementia (Amsterdam, Netherlands). 15: e12494. PMID 37908438 DOI: 10.1002/dad2.12494 |
0.097 |
|
| 2012 |
Kani K, Faca VM, Hughes LD, Zhang W, Fang Q, Shahbaba B, Luethy R, Erde J, Schmidt J, Pitteri SJ, Zhang Q, Katz JE, Gross ME, Plevritis SK, McIntosh MW, et al. Quantitative proteomic profiling identifies protein correlates to EGFR kinase inhibition. Molecular Cancer Therapeutics. 11: 1071-81. PMID 22411897 DOI: 10.1158/1535-7163.Mct-11-0852 |
0.067 |
|
| 2021 |
Cramer SC, See J, Liu B, Edwardson M, Wang X, Radom-Aizik S, Haddad F, Shahbaba B, Wolf SL, Dromerick AW, Winstein CJ. Genetic Factors, Brain Atrophy, and Response to Rehabilitation Therapy After Stroke. Neurorehabilitation and Neural Repair. 15459683211062899. PMID 34933635 DOI: 10.1177/15459683211062899 |
0.053 |
|
| 2022 |
Ehwerhemuepha L, Roth B, Patel AK, Heutlinger O, Heffernan C, Arrieta AC, Sanger T, Cooper DM, Shahbaba B, Chang AC, Feaster W, Taraman S, Morizono H, Marano R. Association of Congenital and Acquired Cardiovascular Conditions With COVID-19 Severity Among Pediatric Patients in the US. Jama Network Open. 5: e2211967. PMID 35579899 DOI: 10.1001/jamanetworkopen.2022.11967 |
0.03 |
|
| Hide low-probability matches. |