Babak Shahbaba

Identifiers

• name variant Babak Shahbaba 0.60 · backfill

Papers (29)

1. A Flexible Joint Longitudinal-Survival Modeling Framework for Incorporating Multiple Longitudinal Biomarkers stat.ME · 2018 · author #3
2. A Bayesian Framework for Non-Collapsible Models stat.ME · 2018 · author #2
3. A Flexible Joint Longitudinal-Survival Model for Analysis of End-Stage Renal Disease Data stat.AP · 2018 · author #3
4. Modeling Binary Time Series Using Gaussian Processes with Application to Predicting Sleep States stat.ME · 2017 · author #2
5. Neural Network Gradient Hamiltonian Monte Carlo stat.CO · 2017 · author #3
6. Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices stat.ME · 2017 · author #6
7. The nonparametric Fisher geometry and the chi-square process density prior stat.ME · 2017 · author #4
8. Geodesic Lagrangian Monte Carlo over the space of positive definite matrices: with application to Bayesian spectral density estimation stat.CO · 2016 · author #4
9. Evolutionary State-Space Model and Its Application to Time-Frequency Analysis of Local Field Potentials stat.ME · 2016 · author #3
10. Bayesian Inference on Matrix Manifolds for Linear Dimensionality Reduction stat.CO · 2016 · author #3
11. Variational Hamiltonian Monte Carlo via Score Matching stat.CO · 2016 · author #2
12. A Geometric View of Posterior Approximation stat.CO · 2015 · author #3
13. Sampling constrained probability distributions using Spherical Augmentation stat.CO · 2015 · author #2
14. Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases stat.CO · 2015 · author #2
15. Precomputing Strategy for Hamiltonian Monte Carlo Method Based on Regularity in Parameter Space stat.CO · 2015 · author #2
16. Dependent Mat\'ern Processes for Multivariate Time Series stat.ML · 2015 · author #2
17. An Efficient Bayesian Inference Framework for Coalescent-Based Nonparametric Phylodynamics stat.CO · 2014 · author #5
18. Discussion of "Geodesic Monte Carlo on Embedded Manifolds" stat.CO · 2013 · author #9
19. Spherical Hamiltonian Monte Carlo for Constrained Target Distributions stat.CO · 2013 · author #3
20. A Semiparametric Bayesian Model for Detecting Synchrony Among Multiple Neurons stat.AP · 2013 · author #1
21. Wormhole Hamiltonian Monte Carlo stat.CO · 2013 · author #3
22. Lagrangian Dynamical Monte Carlo stat.CO · 2012 · author #3
23. Split HMC for Gaussian Process Models stat.CO · 2012 · author #2
24. Split Hamiltonian Monte Carlo stat.CO · 2011 · author #1
25. Bayesian Gene Set Analysis stat.AP · 2010 · author #1
26. Bayesian Nonparametric Variable Selection as an Exploratory Tool for Finding Genes that Matter stat.ME · 2010 · author #1
27. Nonlinear Models Using Dirichlet Process Mixtures math.ST · 2007 · author #1
28. Gene Function Classification Using Bayesian Models with Hierarchy-Based Priors q-bio.GN · 2006 · author #1
29. Improving Classification When a Class Hierarchy is Available Using a Hierarchy-Based Prior math.ST · 2005 · author #1

Mentions

• 1201.3973 #2 · backfill · confidence 0.70 Babak Shahbaba
• 1106.5941 #1 · backfill · confidence 0.70 Babak Shahbaba
• 1006.5170 #1 · backfill · confidence 0.70 Babak Shahbaba
• 1003.2390 #1 · backfill · confidence 0.70 Babak Shahbaba

Frequent Coauthors

• Shiwei Lan 12 shared papers
• Andrew Holbrook 5 shared papers
• Alexander Vandenberg-Rodes 4 shared papers
• Hernando Ombao 4 shared papers
• Jeffrey Streets 4 shared papers
• Radford M. Neal 4 shared papers
• Cheng Zhang 3 shared papers
• Daniel L. Gillen 3 shared papers
• Hongkai Zhao 3 shared papers
• Bo Zhou 2 shared papers
• Mark Girolami 2 shared papers
• Sepehr Akhavan Masouleh 2 shared papers
• Xu Gao 2 shared papers
• Catherine M. Shachaf 1 shared papers
• Christof Seiler 1 shared papers
• Daniel Simpson 1 shared papers
• David Moorman 1 shared papers
• Gabriel A. Elias 1 shared papers
• Ian L. Dryden 1 shared papers
• John T. Kent 1 shared papers