A new study led by the University of Oxford has found evidence that kissing evolved in the common ancestor of humans and ...
Forbes contributors publish independent expert analyses and insights. I write about investing, markets and Berkshire Hathaway. The clock is ticking in Washington: Will Congress avert a government ...
This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...
1 Minutia.AI Pte. Ltd., Singapore, Singapore 2 Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy A representation of the cause-effect mechanism is ...
Abstract: Moving Horizon Estimation (MHE) is widely used for state estimation due to its ability to effectively incorporate historical information. As a single-model approach, its accuracy depends not ...
This study examines how trade shocks that start in one large economy ripple through other countries and how long those effects stick around. Using quarterly bilateral-trade data for 2012-2023, the ...
Abstract: This work studies the problem of jointly estimating unknown parameters from Kronecker-structured multidimensional signals, which arises in applications like intelligent reflecting surface ...
Researchers developed a fast, accurate method using Bayesian inference to identify electron charge states in quantum dots for quantum computing applications. (Nanowerk News) A research team at Tohoku ...
Introduction: Triage is the process aimed at ensuring that patients receive a level and quality of care matching the urgency of their conditions. The present study focuses on telephone triage. We ...
We study the problem of estimating the mode and maximum of an unknown regression function in the presence of noise. We adopt the Bayesian approach by using tensor-product B-splines and endowing the ...
ABSTRACT: In statistical decision theory, the risk function quantifies the average performance of a decision over the sample space. The risk function, which depends on the parameter of the model, is ...