Estimation of moments and density of first passage times by lower and upper risk thresholds Nuno M. Brites
Department of Mathematics – Lisbon School of Economics and Management
Explainable artificial intelligence. How solid statistical science can help? Jacek Leskow
Politechnika Krakowska im. Tadeusza Kosciuszki (Universidad Tecnológica de Cracovia)
The main goal of this talk is to present, for a particular fish population under constant harvesting effort, the mean and standard deviation of first passage times by several lower and upper threshold values. In addition, I'll present a method to obtain the probability density function of the first passage time at a threshold through the numerical inversion of its Laplace transform.
In my talk, I am going to start with several examples of critically important applications of Al in various areas of modern governance. Then I will show how statistical science should reclaim the Big Data territory. Specifically, I am going to focus on copula functions and functional data analysis in statistical signal processing.