The real-world data of power networks is often inaccessible due to privacy and security concerns, highlighting the need for tools to generate realistic synthetic network data. Existing methods ...

Notably Off Key: Questioning the Clinical Benefit of Perioperative Immunotherapy for Resectable Head and Neck Squamous Cell Carcinoma After KEYNOTE-689 We conducted an assessor-masked, multicenter ...

Bayesian modeling links residual cancer burden shifts to survival, helping neoadjuvant breast cancer trials and FDA approvals predict real benefit. For nearly 2 decades, oncologists have grappled with ...

This study presents a comprehensive Bayesian hierarchical analysis of the U.S. homeowners’ insurance market from 2018 to 2022. By integrating federal insurance metrics with American Community Survey ...

In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term economic fluctuations, especially in countries with limited access to ...

Industry groups and drugmakers want the US Food and Drug Administration (FDA) to explicitly clarify that Bayesian statistical methods can be used for products beyond those intended for children and ...

We independently evaluate all of our recommendations. If you click on links we provide, we may receive compensation. Michael is a former senior editor of investing and trading products for ...

Abstract: Low-rank representations such as the Tucker decomposition underlie many frequentist methods for tensor analysis. Bayesian analogues, in contrast, have received less attention. Notably ...

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 ...

The hierarchical flow for clock domain crossing (CDC) and reset domain crossing (RDC) is a methodology used in the verification of large, complex digital integrated circuits. It’s a divide-and-conquer ...