4 papers
SCoRES: An R Package for Simultaneous Confidence Region Estimates
Zhuoran Yu, Armin Schwartzman, Junting Ren +1
The identification of domain sets whose outcomes belong to predefined subsets can address fundamental risk assessment challenges in climatology and medicine. Existing approaches fo…
Model uncertainty quantification using feature confidence sets for outcome excursions
Junting Ren, Armin Schwartzman
When implementing prediction models for high-stakes real-world applications such as medicine, finance, and autonomous systems, quantifying prediction uncertainty is critical for ef…
Spatial Confidence Regions for Excursion Sets with False Discovery Rate Control
Howon Ryu, Thomas Maullin-Sapey, Armin Schwartzman +1
Identifying areas where the signal is prominent is an important task in image analysis, with particular applications in brain mapping. In this work, we develop confidence regions f…
Peak Inference for Gaussian Random Fields on a Lattice
Tuo Lin, Armin Schwartzman, Samuel Davenport
In this work we develop a Monte Carlo method to compute the height distribution of local maxima of a stationary Gaussian or Gaussian-related random field that is observed on a regu…