225 citations · 483 across the 6 of their papers we have counts for
6 papers
A Flexible Joint Longitudinal-Survival Model for Analysis of End-Stage Renal Disease Data
Sepehr Akhavan Masouleh, Tracy Holsclaw, Babak Shahbaba +1
We propose a flexible joint longitudinal-survival framework to examine the association between longitudinally collected biomarkers and a time-to-event endpoint. More specifically,…
Bayesian Non-Homogeneous Markov Models via Polya-Gamma Data Augmentation with Applications to Rainfall Modeling
Tracy Holsclaw, Arthur M. Greene, Andrew W. Robertson +1
Discrete-time hidden Markov models are a broadly useful class of latent-variable models with applications in areas such as speech recognition, bioinformatics, and climate data anal…
Bayesian Detection of Changepoints in Finite-State Markov Chains for Multiple Sequences
Petter Arnesen, Tracy Holsclaw, Padhraic Smyth
We consider the analysis of sets of categorical sequences consisting of piecewise homogeneous Markov segments. The sequences are assumed to be governed by a common underlying proce…
Nonparametric Reconstruction of the Dark Energy Equation of State from Diverse Data Sets
Tracy Holsclaw, Ujjaini Alam, Bruno Sanso +4
The cause of the accelerated expansion of the Universe poses one of the most fundamental questions in physics today. In the absence of a compelling theory to explain the observatio…
Nonparametric Dark Energy Reconstruction from Supernova Data
Tracy Holsclaw, Ujjaini Alam, Bruno Sanso +4
Understanding the origin of the accelerated expansion of the Universe poses one of the greatest challenges in physics today. Lacking a compelling fundamental theory to test, observ…
Nonparametric Reconstruction of the Dark Energy Equation of State
Tracy Holsclaw, Ujjaini Alam, Bruno Sanso +4
A basic aim of ongoing and upcoming cosmological surveys is to unravel the mystery of dark energy. In the absence of a compelling theory to test, a natural approach is to better ch…