Technological advances in LC-MS/MS have greatly advanced our capabilities to explore proteomes. In bottom-up proteomics, the most widely used approach, proteins are proteolytically digested into ...
Measurement error models address the deviation between observed and true values, thereby refining the reliability of statistical inference. These frameworks are ...
Methods of Rubin (1983) for robust estimation of a mean and covariance matrix and associated parameters are extended to analyse data with missing values. The methods are maximum likelihood (ML) for ...
Identify characteristics of “good” estimators and be able to compare competing estimators. Construct sound estimators using the techniques of maximum likelihood and method of moments estimation.
Abstract: Because of the fluctuation and uncertainty characteristics of wind power, it is difficult to achieve a perfect wind power forecast. The forecast error may ...
This repository contains the full research notebook, code, and supplemental materials accompanying the preprint: “A Non-Parametric Framework for Physics Discovery via Drift–Diffusion Estimation, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results