1 citations · 1 across the 3 of their papers we have counts for
4 papers
Tree statistics improve neural simulation-based inference of epidemiological parameters over case counts alone
Zena Lapp, Emma E. Goldberg, John R. Tipton +3
During an infectious disease outbreak, accurate estimates of epidemiological parameters such as the reproduction number and infection duration can inform the public health response…
Ribbon: Scalable Approximation and Robust Uncertainty Quantification
Graham Gibson, John Tipton, Kellin Rumsey +1
Reliably quantifying predictive uncertainty is difficult for complex, high-dimensional, or misspecified models. Both fully Bayesian and bootstrap resampling methods provide princip…
Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction
John R. Tipton, Mevin B. Hooten, Connor Nolan +2
Multivariate compositional count data arise in many applications including ecology, microbiology, genetics, and paleoclimate. A frequent question in the analysis of multivariate co…
The basis function approach for modeling autocorrelation in ecological data
Trevor J. Hefley, Kristin M. Broms, Brian M. Brost +6
Analyzing ecological data often requires modeling the autocorrelation created by spatial and temporal processes. Many of the statistical methods used to account for autocorrelation…