In the latest issue of “The American Statistician,” authors examine how LLM-powered data agents are opening new possibilities for making data analysis more accessible to those with limited technical expertise.
Journal Highlights
ASA Journals: A World of Impact
While no single metric tells the whole story, one thing is clear: Statisticians around the world are reading and downloading ASA journals.
‘JSDSE’ Explores Classic Concepts, Innovations in Statistics and Data Science Education
This issue covers a range of topics, from classic problems to newer areas such as machine olfaction, plus several papers about teaching collaboration and an interview with two former journal editors.
Google Searches, Beer Miles, and What the Data Reveals
This issue covers Google’s death-search data; a statistical look at the “beer mile”; and pieces on prison remand, mass shootings, kurtosis, and misleading data practices.
The Quantitative Intersection: Inside the ‘Journal of Business & Economic Statistics’
The journal is a highly selective outlet for methodological research in statistics and economics.
JOURNAL HIGHLIGHT: ‘Technometrics’
Technometrics is a journal of statistics for the physical, chemical, and engineering sciences. Published quarterly by the American Society for Quality and the American Statistical Association, it offers papers describing new statistical techniques and innovative applications of known statistical methods.
Finding the Statistics in the Prelude
This month’s cover feature finds hidden patterns in Chopin’s “Preludes,” and you may be moved by the pattern more than the music itself.
Latest Issue: Veridical Data Science and the Data Science Life Cycle in Action
Editor Juana Sanchez shares insights from the latest issue of JSDSE—from exploring the data science life cycle to teaching data science in the age of AI.
Co-Editor Sought for ‘Journal of Quantitative Analysis in Sports’
The ‘Journal of Quantitative Analysis in Sports’ has a co-editor position open. Each co-editor serves a four-year term with a two-year overlap between outgoing and incoming co-editors.
‘JASA’ Special Issue Explores the Role of Statistical Science in AI Revolution
This special issue explores how the statistical community can shape the future of artificial intelligence through rigorous methodology, trustworthy systems, and deeper integration between statistical theory and AI’s computational power.