3 citations · 4 across the 6 of their papers we have counts for
6 papers
Variance Deltas for Visualizing and Explaining Posterior Uncertainty
Collin Cademartori
In observational settings, where the data generating process and possibly the sample size are not controlled, it is typically impossible to guarantee a priori that quantities of in…
Joint -Values for Higher-Powered Bayesian Model Checking with Frequentist Guarantees
Collin Cademartori
We introduce a joint posterior -value, an extension of the posterior predictive -value for multiple test statistics, designed to address limitations of existing Bayesian -…
Identifiability and Falsifiability: Two Challenges for Bayesian Model Expansion
Collin Cademartori
We study the identifiability of parameters and falsifiability of predictions under the process of model expansion in a Bayesian setting. Identifiability is represented by the close…
A Non-asymptotic Analysis of Generalized Approximate Message Passing Algorithms with Right Rotationally Invariant Designs
Collin Cademartori, Cynthia Rush
Approximate Message Passing (AMP) algorithms are a class of iterative procedures for computationally-efficient estimation in high-dimensional inference and estimation tasks. Due to…
Adaptive Path Sampling in Metastable Posterior Distributions
Yuling Yao, Collin Cademartori, Aki Vehtari +1
The normalizing constant plays an important role in Bayesian computation, and there is a large literature on methods for computing or approximating normalizing constants that canno…
Automatic Conflict Detection in Police Body-Worn Audio
Alistair Letcher, Jelena Trišović, Collin Cademartori +2
Automatic conflict detection has grown in relevance with the advent of body-worn technology, but existing metrics such as turn-taking and overlap are poor indicators of conflict in…