Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

The covid-19 vaccines cost $79 billion to develop and deliver globally, but provided health and economic benefits worth between $5 trillion and $38 trillion globally in the first year alone, based on ...

The Annals of Applied Probability, Vol. 31, No. 5 (October 2021), pp. 2244-2274 (31 pages) We provide an exhaustive treatment of linear-quadratic control problems for a class of stochastic Volterra ...

This paper presents two sets of considerations on the use of approximations to estimate freight trip generation (FTG) and freight generation (FG) rates, based on a single variable. Following recent ...

ABSTRACT: This paper presents two sets of considerations on the use of approximations to estimate freight trip generation (FTG) and freight generation (FG) rates, based on a single variable. Following ...

Abstract: For reliable communication in high mobility scenarios, we need to estimate the channel in orthogonal time frequency space (OTFS) systems, which can be considered as a sparse signal recovery ...

Abstract: In this paper, we develop a Maximum likelihood estimation algorithm for a class of Wiener system written in a linear regression form. The output non-linearity is approximated by utilizing a ...

Linear regression is a statistical method that helps us understand the relationship between two variables by fitting a linear model to the observed data. It allows us to make predictions and determine ...