Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...
In the setting of nonparametric multivariate regression with unknown error variance σ², we study asymptotic properties of a Bayesian method for estimating a ...
Vector time series data are widely met in practice. In this paper we propose a multivariate functional-coefficient regression model with heteroscedasticity for modelling such data. A local linear ...
Learn what is Logistic Regression Cost Function in Machine Learning and the interpretation behind it. Logistic Regression Cost function is "error" representation of the model. It shows how the model ...