MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

Abstract: This article studies the problem of interval estimation for systems with nonlinear equality constraints and unknown but bounded uncertainties. An iterative zonotope-based method is presented ...

ABSTRACT: Accurate estimation of disease prevalence is crucial for effective public health intervention and resource allocation. Generating data by individual testing methods is often impractical and ...

Capital Group’s plans to partner with KKR in launching two interval funds in 2025 is only the latest sign of interest from two well-known asset managers in this increasingly popular structure. To help ...

Developing and evaluating novel diagnostic assays are crucial components of contemporary diagnostic research. The receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC) ...

In a world filled with uncertainty, confidence intervals play a crucial role in statistics by providing a range of values within which the true population parameter is likely to fall. In simpler terms ...

Algorithms such as Differentially Private SGD enable training machine learning models with formal privacy guarantees. However, because these guarantees hold with respect to unrealistic adversaries, ...

Parametric estimation for diffusion processes is considered for high frequency observations over a fixed time interval. The processes solve stochastic differential equations with an unknown parameter ...