1 citations · 1 across the 4 of their papers we have counts for
5 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…
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.…
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…
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.…
Mixture distributions for probabilistic forecasts of disease outbreaks
Spencer Wadsworth, Jarad Niemi, Nick Reich
Collaboration among multiple teams has played a major role in probabilistic forecasting events of influenza outbreaks, the COVID-19 pandemic, other disease outbreaks, and in many o…