Babak Shahbaba

发表

A pathway analysis method for genome‐wide association studies

Zhaoxia Yu, Babak Shahbaba, Catherine M Shachaf, 2012, Statistics in medicine.

Comment on Article by Finegold and Drton

Babak Shahbaba, B. Shahbaba, 2014 .

Precomputing strategy for Hamiltonian Monte Carlo method based on regularity in parameter space

Babak Shahbaba, Cheng Zhang, Hongkai Zhao, 2015, Computational Statistics.

Wormhole Hamiltonian Monte Carlo

Babak Shahbaba, Shiwei Lan, Jeffrey Streets, 2014, AAAI.

What time is it? Deep learning approaches for circadian rhythms

Babak Shahbaba, Forest Agostinelli, Nicholas Ceglia, 2016, Bioinform..

Conjoined Dirichlet Process pdf

Babak Shahbaba, Michelle N. Ngo, Dustin S. Pluta, 2020, ArXiv.

Biostatistics with R: An Introduction to Statistics Through Biological Data

Babak Shahbaba, 2011 .

Nonlinear Models Using Dirichlet Process Mixtures

Babak Shahbaba, Radford M. Neal, B. Shahbaba, 2007, J. Mach. Learn. Res..

Optimal Experimental Design for Mathematical Models of Hematopoiesis

Babak Shahbaba, Luis Martinez Lomeli, Abdon Iniguez, 2020, 2004.09065.

Deep Markov Chain Monte Carlo

Babak Shahbaba, Luis Martinez Lomeli, Tian Chen, 2019, 1910.05692.

A Bayesian supervised dual‐dimensionality reduction model for simultaneous decoding of LFP and spike train signals

Babak Shahbaba, Andrew Holbrook, Alexander Vandenberg-Rodes, 2017, Stat.

Hippocampal ensembles represent sequential relationships among discrete nonspatial events

Babak Shahbaba, Forest Agostinelli, Pierre Baldi, 2019, bioRxiv.

Biostatistics with R: An Introduction to Statistics Through Biological Data

Babak Shahbaba, B. Shahbaba, 2011 .

Distributed Stochastic Gradient MCMC

Babak Shahbaba, Max Welling, Sungjin Ahn, 2014, ICML.

Split Hamiltonian Monte Carlo

Babak Shahbaba, Radford M. Neal, Shiwei Lan, 2011, Stat. Comput..

Bayesian Neural Decoding Using A Diversity-Encouraging Latent Representation Learning Method pdf

Babak Shahbaba, Lingge Li, Tian Chen, 2019, ArXiv.

Modeling Binary Time Series Using Gaussian Processes with Application to Predicting Sleep States

Babak Shahbaba, Hernando Ombao, Xu Gao, 2018, J. Classif..

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

Babak Shahbaba, Zhongping Chen, Li Qi, 2019, Neurophotonics.

An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamics

Babak Shahbaba, Vladimir N. Minin, Shiwei Lan, 2014, Bioinform..

Dependent Matérn Processes for Multivariate Time Series

Babak Shahbaba, Alexander Vandenberg-Rodes, 2017 .

Improving classification models when a class hierarchy is available

Babak Shahbaba, B. Shahbaba, 2007 .

Evolutionary State-Space Model and Its Application to Time-Frequency Analysis of Local Field Potentials.

Babak Shahbaba, Hernando Ombao, Xu Gao, 2016, Statistica Sinica.

Bayesian Gene Set Analysis

Babak Shahbaba, Robert Tibshirani, Sylvia K. Plevritis, 2017 .

Neural network gradient Hamiltonian Monte Carlo

Babak Shahbaba, Pierre Baldi, Lingge Li, 2017, Computational Statistics.

Neuronal Spike Train Analysis Using Gaussian Process Models

Babak Shahbaba, Sam Behseta, Alexander Vandenberg-Rodes, 2015 .

Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes

Babak Shahbaba, Hernando Ombao, Lingge Li, 2019, NeurIPS.

Nonparametric Fisher Geometry with Application to Density Estimation

Babak Shahbaba, Jeffrey Streets, Shiwei Lan, 2020, UAI.

Gene function classification using Bayesian models with hierarchy-based priors

Babak Shahbaba, Radford M. Neal, B. Shahbaba, 2006, BMC Bioinformatics.

A Semiparametric Bayesian Model for Neural Coding

Babak Shahbaba, Hernando Ombao, Bo Zhou, 2013 .

Bayesian Nonparametric Variable Selection as an Exploratory Tool for Finding Genes that Matter

Babak Shahbaba, B. Shahbaba, 2010, 1003.2390.

A Dynamic Bayesian Model for Characterizing Cross-Neuronal Interactions During Decision-Making

Babak Shahbaba, Bo Zhou, Sam Behseta, 2016, Journal of the American Statistical Association.

A Hierarchical Modeling Approach to Data Analysis and Study Design in a Multi-site Experimental fMRI Study

Babak Shahbaba, Bo Zhou, William M Wells, 2012, Psychometrika.

Spherical Hamiltonian Monte Carlo for Constrained Target Distributions

Babak Shahbaba, Bo Zhou, Shiwei Lan, 2013, ICML.

A Semiparametric Bayesian Model for Detecting Synchrony Among Multiple Neurons

Babak Shahbaba, Hernando Ombao, Bo Zhou, 2013, Neural Computation.

Hamiltonian Monte Carlo acceleration using surrogate functions with random bases

Babak Shahbaba, Cheng Zhang, Hongkai Zhao, 2015, Statistics and Computing.

Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices

Babak Shahbaba, Hernando Ombao, Shiwei Lan, 2017 .

Bayesian gene set analysis for identifying significant biological pathways.

Babak Shahbaba, Catherine M Shachaf, Robert Tibshirani, 2011, Journal of the Royal Statistical Society. Series C, Applied statistics.

Flexible Bayesian Dynamic Modeling of Covariance and Correlation Matrices

Babak Shahbaba, Shiwei Lan, Andrew Holbrook, 2017 .

A modified Dirichlet process mixture model for clustering phosphopeptides based on their response to anti-cancer drug perturbation

Babak Shahbaba, Anjali Jain, Sylvia K. Plevritis, 2008, BIOCOMP.

What time is it? Deep learning approaches for circadian rhythms

Babak Shahbaba, Forest Agostinelli, Nicholas Ceglia, 2016, Bioinformatics.

Statistical implications of relaxing the homogeneous mixing assumption in time series Susceptible-Infectious-Removed models

Babak Shahbaba, Vladimir N. Minin, Jon Wakefield, 2021, 2112.03186.

Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks

Babak Shahbaba, Shiwei Lan, Shuyi Li, 2021 .

A Horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging

Babak Shahbaba, Michele Guindani, Francesco Denti, 2021 .

The nonparametric Fisher geometry and the chi-square process density prior

Babak Shahbaba, Shiwei Lan, Jeffrey Streets, 2017 .

A pluripotency signature predicts histologic transformation and influences survival in follicular lymphoma patients.

Babak Shahbaba, Catherine M Shachaf, Ash A. Alizadeh, 2009, Blood.

A Bayesian nonparametric method for model evaluation: application to genetic studies

Babak Shahbaba, Joseph Beyene, Sylvia K. Plevritis, 2009 .

Bayesian Inference on Matrix Manifolds for Linear Dimensionality Reduction

Babak Shahbaba, Andrew J. Holbrook, Andrew Holbrook, 2016, 1606.04478.

Discovering Hidden Structures Using Mixture Models: Application to Nonlinear Time Series Processes

Babak Shahbaba, B. Shahbaba, 2009 .

Neural function, injury, and stroke subtype predict treatment gains after stroke

Babak Shahbaba, Lucy Dodakian, Vu Le, 2015, Annals of neurology.

Split HMC for Gaussian Process Models

Babak Shahbaba, Shiwei Lan, B. Shahbaba, 2012, 1201.3973.