research
∙
08/05/2022
A Case-Study of Sample-Based Bayesian Forecasting Algorithms
For a Bayesian, real-time forecasting with the posterior predictive dist...
share
research
∙
01/04/2022
The Most Difference in Means: A Statistic for Null and Near-Zero Results
Two-sample p-values test for statistical significance. Yet p-values cann...
research
∙
06/27/2020
Approximating Posterior Predictive Distributions by Averaging Output From Many Particle Filters
This paper introduces the particle swarm algorithm, a recursive and emba...
research
∙
01/28/2020
PF: A C++ Library for Fast Particle Filtering
Particle filters are a class of algorithms that are used for "tracking" ...
research
∙
07/22/2019
A Pseudo-Marginal Metropolis-Hastings Algorithm for Estimating Generalized Linear Models in the Presence of Missing Data
The missing data issue often complicates the task of estimating generali...
research
∙
03/05/2019