Abstract: This paper studies the control-oriented recursive identification of finite impulse response systems with binary-valued observations. Inspired by the Maximum Likelihood method, a novel ...

We have observed an increasing dependency on computers for consuming all forms of media over the past few years. Over-the-top platforms have picked up pace and computer builds are being modified to ...

1 School of Psychology, University of Ottawa, Ottawa, ON, Canada 2 Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada Understanding how functional connectivity between ...

Integration of Reinforcement Learning RL with large language models catalyzes LLM’s performance on distinct specialty tasks such as robotics control or natural language processing that require ...

ABSTRACT: Count data is almost always over-dispersed where the variance exceeds the mean. Several count data models have been proposed by researchers but the problem of over-dispersion still remains ...

Forbes contributors publish independent expert analyses and insights. Steve Vernon, FSA, helps retirees make their money last for life. What’s the most you can receive from Social Security? The answer ...

In this paper, a weighted maximum likelihood technique (WMLT) for the logistic regression model is presented. This method depended on a weight function that is continuously adaptable using Mahalanobis ...