Robust 'Huber mean' for geometric data protects against noise and outliers

In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, ...
EurekAlert!

Pusan National University scientists develop robust “Huber mean” for geometric data

In many modern sciences, data often exist on curved geometric spaces rather than flat planes, posing challenges for ...
Helsinki

Robust scoring of selective drug responses for patient-tailored therapy selection

The widely-used drug sensitivity score (DSS) developed at FIMM has been extensively upgraded for more robust quantification of selective drug responses in patient-derived cells. The novel features in ...
JSTOR Daily

One-Step M-Estimators in the Linear Model, with Dependent Errors

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 22, No. 2 (Jun., 1994), pp. 219-231 (13 pages) We consider the problem of robust M-estimation of a vector of regression ...
JSTOR Daily

OUTLIER-ROBUST BAYESIAN MULTINOMIAL CHOICE MODELING

A Bayesian method for outlier-robust estimation of multinomial choice models is presented. The method can be used for both correlated as well as uncorrelated choice alternatives and guarantees ...
The Hindu

RBI may use robust statistics, ML for real time economy tracking, say officials

The Reserve Bank of India (RBI), going forward, would to deploy robust statistical data and machine learning (ML) techniques to strengthen real-time tracking of economic activity in a bid to ...