Taylor R. Brown
Taylor R. Brown
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2022
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Taylor R. Brown
(2022).
A Case-Study of Sample-Based Bayesian Forecasting Algorithms
.
PDF
Bruce A. Corliss
,
Taylor R. Brown
,
Tingting Zhang
,
Kevin A. Janes
,
Heman Shakeri
,
Philip E. Bourne
(2022).
The Most Difference in Means: A Statistic for Null and Near-Zero Results
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PDF
Taylor R. Brown
(2021).
An Introduction to R and Python For Data Analysis: A Side By Side Approach
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PDF
Taylor R. Brown
(2020).
A Short Introduction to PF: A C++ Library for Particle Filtering
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PDF
Taylor R. Brown
(2020).
Approximating Posterior Predictive Distributions by Averaging Output From Many Particle Filters
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PDF
Taylor R. Brown
(2020).
PF: A C++ Library for Fast Particle Filtering
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PDF
Taylor R. Brown
,
Timothy L. McMurry
,
Alexander Langevin
(2019).
A Pseudo-Marginal Metropolis-Hastings Algorithm for Estimating Generalized Linear Models in t he Presence of Missing Data
.
PDF
Taylor R. Brown
(2019).
A Factor Stochastic Volatility Model with Markov-Switching Panic Regimes
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PDF
Taylor Brown
(2018).
Factor Stochastic Volatility Models for Portfolio Construction
.
PDF
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