An Efficient Stochastic Newton Algorithm for Parameter Estimation in Logistic Regressions
An Efficient Stochastic Newton Algorithm for Parameter Estimation in Logistic Regressions
Logistic regression is a well-known statistical model which is commonly used in the situation where the output is a binary random variable. It has a wide range of applications including machine learning, public health, social sciences, ecology, and econometry. In order to estimate the unknown parameters of logistic regression with …