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Taylor R. Brown

A Case-Study of Sample-Based Bayesian Forecasting Algorithms
The Most Difference in Means: A Statistic for Null and Near-Zero Results
An Introduction to R and Python For Data Analysis: A Side By Side Approach
A Short Introduction to PF: A C++ Library for Particle Filtering
Approximating Posterior Predictive Distributions by Averaging Output From Many Particle Filters
PF: a c++ library for fast particle filtering
PF: A C++ Library for Fast Particle Filtering
A Pseudo-Marginal Metropolis-Hastings Algorithm for Estimating Generalized Linear Models in t he Presence of Missing Data
A Factor Stochastic Volatility Model with Markov-Switching Panic Regimes

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