Abstract: This paper discusses the theory and algorithms for interacting large language model agents (LLMAs) using methods from statistical signal processing and microeconomics. While both fields are ...

Bayesian Model Averaging (BMA) has emerged as a robust framework for addressing model uncertainty in empirical growth research. Rather than selecting a single ‘best’ specification, BMA combines the ...

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 ...

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 ...

Synthetic dataset outputs for public analysis without privacy risk. Part of my current workflow as survey leader of the Data Engineering Pilipinas group. Comparable distributions per column: based on ...

Traffic emissions significantly impact near-road air quality and public health. This research applies a Bayesian modeling framework to investigate these impacts using high-resolution traffic and air ...

State Key Laboratory of Geomicrobiology and Environmental Changes, China University of Geosciences (Beijing), Beijing 100083, China Institute of Earth Sciences, China University of Geosciences ...

See more of our coverage in your search results. Add The New York Times on Google More than 180 feet long, with a mast towering about 240 feet and a keel that could be lowered for greater stability, ...

Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Singapore: Springer. URL: https://link.springer.com/book/10.1007/978-981-19-4755-1 ...