Common statistical prediction models often require and assume stationarity in the data.
However, in many practical applications, changes in the relationship of the response and …

A fundamental issue for statistical classification models in a streaming environment is that
the joint distribution between predictor and response variables changes over time (a …

This paper introduces a non-linear and continuous-time opinion dynamics model with
additive noise and state-dependent interaction rates between agents. The model features …

Based on the α-binary representation of a number t∈[0, 1], described in the introduction, we
define a random variable (rv) X which is a geometrically weighted sum of a sequence of …

Background: Stunting is one of the most serious but least addressed health problems in the
world. Adequate nutrition is essential for children's health and development. Globally it is …

The present paper proposes a computational framework for continuous time opinion
dynamics with additive noise. We derive a non-local partial differential equation for the …

This paper introduces a class of non-linear and continuous-time opinion dynamics model
with additive noise and state dependent interaction rates between agents. The model …