For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Variant Bio's Inference platform uses LLM technology, machine learning, and advanced statistical genetics to analyze hundreds of billions of data points, moving from genetic association to validated ...

Variant Bio, a genomics-driven AI drug discovery company, today announced the launch of Inference, the world's first agentic genomic drug dis ...

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

Abstract: The Apache Spark stack has enabled fast large-scale data processing. Despite a rich library of statistical models and inference algorithms, it does not give domain users the ability to ...

In the wake of the replication crisis, statistical power has become one of the central issues in debates about the quality of research. The widespread use of tests with low power is seen as a key ...

1 Cornell Center for Astrophysics and Planetary Science (CCAPS) and Department of Statistics and Data Science, Cornell University, Ithaca, NY, United States 2 Department of Statistical Science, Duke ...

Copyright: © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Frequentist and Bayesian ...

Repeated measurements of the same countries, people, or groups over time are vital to many fields of political science. These measurements, sometimes called time-series cross-sectional (TSCS) data, ...

ABSTRACT: This paper explores causal inference through cognitive psychology, focusing on the dual-processing theory of the mind, which includes fast (System 1) and slow (System 2) thinking. It ...