Browse Items (15 total)

An increasing number of time-consuming simulators exhibit a complex noise structure
that depends on the inputs. For conducting studies with limited budgets of evaluations,
new surrogate methods are required in order to simultaneously model the mean…

Conformal predictors estimate the reliability of outcomes made by supervised machine
learning models. Instead of a point value, conformal prediction defines an outcome region
that meets a user-specified reliability threshold. Provided that the data…

Gene expression data provide an abundant resource for inferring connections in gene
regulatory networks. While methodologies developed for this task have shown success, a
challenge remains in comparing the performance among methods. Gold-standard…

NScluster is an R package used for simulation and parameter estimation for NeymanScott cluster point process models and their extensions. For parameter estimation, NScluster uses the maximum Palm likelihood estimation procedure. As some estimation…

This paper describes the R package EpiILMCT, which allows users to study the spread
of infectious disease using continuous time individual level models (ILMs). The package provides tools for simulation from continuous time ILMs that are based on…