16 citations · 34 across the 8 of their papers we have counts for
9 papers
A Flexible Joint Longitudinal-Survival Modeling Framework for Incorporating Multiple Longitudinal Biomarkers
Sepehr Akhavan-Masouleh, Alexander Vandenberg-Rodes, Babak Shahbaba +1
We are interested in survival analysis of hemodialysis patients for whom several biomarkers are recorded over time. Motivated by this challenging problem, we propose a general fram…
Modeling Smooth Backgrounds and Generic Localized Signals with Gaussian Processes
Meghan Frate, Kyle Cranmer, Saarik Kalia +2
We describe a procedure for constructing a model of a smooth data spectrum using Gaussian processes rather than the historical parametric description. This approach considers a ful…
Geodesic Lagrangian Monte Carlo over the space of positive definite matrices: with application to Bayesian spectral density estimation
Andrew Holbrook, Shiwei Lan, Alexander Vandenberg-Rodes +1
We extend the application of Hamiltonian Monte Carlo to allow for sampling from probability distributions defined over symmetric or Hermitian positive definite matrices. To do so,…
Bayesian Inference on Matrix Manifolds for Linear Dimensionality Reduction
Andrew Holbrook, Alexander Vandenberg-Rodes, Babak Shahbaba
We reframe linear dimensionality reduction as a problem of Bayesian inference on matrix manifolds. This natural paradigm extends the Bayesian framework to dimensionality reduction…
Dependent Matérn Processes for Multivariate Time Series
Alexander Vandenberg-Rodes, Babak Shahbaba
For the challenging task of modeling multivariate time series, we propose a new class of models that use dependent Matérn processes to capture the underlying structure of data, exp…
The Williams Bjerknes Model on Regular Trees
Oren Louidor, Ran J. Tessler, Alexander Vandenberg-Rodes
We consider the Williams Bjerknes model, also known as the biased voter model on the -regular tree $\bbT^d$, where . Starting from an initial configuration of "healthy…