4 papers
Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
Spencer Wadsworth, Nabin Koirala, Nicole Landi +1
Detecting shared neural activity from functional magnetic resonance imaging (fMRI) across individuals exposed to the same stimulus can reveal synchronous brain responses, functiona…
Quantile Forecast Matching with a Bayesian Quantile Gaussian Process Model
Spencer Wadsworth, Jarad Niemi
A set of probabilities along with corresponding quantiles are often used to define predictive distributions or probabilistic forecasts. These quantile predictions offer easily inte…
Bayesian Stacking via Proper Scoring Rule Optimization using a Gibbs Posterior
Spencer Wadsworth, Jarad Niemi
In collaborative forecast projects, the combining of multiple probabilistic forecasts into an ensemble is standard practice, with linear pooling being a common combination method.…
Forecasting Influenza Hospitalizations Using a Bayesian Hierarchical Nonlinear Model with Discrepancy
Spencer Wadsworth, Jarad Niemi
The annual influenza outbreak leads to significant public health and economic burdens making it desirable to have prompt and accurate probabilistic forecasts of the disease spread.…