A mixed generalized Akaike information criterion xGAIC is introduced and validated. It is derived from a quasi-log-likelihood that focuses on the random effect and the variability between the areas, ...

The Akaike Memorial Lecture Award was launched in May 2016. The purpose of this award is to commemorate the achievements of the late Dr. Akaike, who established a novel paradigm to evaluate the ...

In this paper, we examine the feasibility of extending the Akaike information criterion (AIC) for deterministic systems as a potential model selection criteria for stochastic models. We discuss the ...

Professor Hyvärinen has made many outstanding contributions to the fields of signal processing, image analysis, machine learning, computational neuroscience and mathematical statistics. Among his ...