The much anticipated inaugural issue of the ACM/IMS Journal of Data Science has been released, read it here.

 

IMS News
Aaditya Ramdas Wins Peter Gavin Hall IMS Early Career Prize May 17, 2023
Aaditya Ramdas of Carnegie Mellon University has received the 2023 Peter Gavin Hall IMS Early Career Prize. Dr. Ramdas receives the award “for significant contributions in the areas of reproducibility in science and technology; active, sequential decision-making; and assumption-light uncertainty quantification.” As an Assistant Professor in the Departments of Statistics and Data Science and Machine Learning, Dr. Ramdas’ research spans algorithms, theory, and applications of statistical inference and machine learning. His work delves into fundamental…
June/July 2023 Bulletin now online May 16, 2023
The PDF version of the June/July 2023 IMS Bulletin is online now: click here to download the complete PDF. You can also read the articles here at https://imstat.org/news/. Contents include: IMS Carver Award: Leif Döring Members’ news: Robert Kass, Xihong Lin, Alsion Etheridge, Duncan Dauvergne, Rahul Singh, David Cox, Nancy Reid, Christian Genest IMS Fellows 2023 President’s Corner Written by Witten: Where my ladies at? Obituaries: Krishna B. Athreya
Annals of Applied Probability: Vol.33, No.3 May 3, 2023
A new issue of Annals of Applied Probability has been published. You can get a summary in PDF-format at: https://www.imstat.org/publications/aap/aap_33_3/aap_33_3.pdf If you or your library has subscribed to the journal, electronic access to the full journal articles is at: https://projecteuclid.org/ or https://www.jstor.org/
Annals of Probability: Vol.51, No.3
A new issue of Annals of Probability has been published. You can get a summary in PDF-format at: https://www.imstat.org/publications/aop/aop_51_3/aop_51_3.pdf If you or your library has subscribed to the journal, electronic access to the full journal articles is at: https://projecteuclid.org/ or https://www.jstor.org/
2023 IMS Fellows Announced May 2, 2023
Congratulations to the 2023 Class of IMS Fellows! The designation of IMS Fellow has been a significant honor for over 85 years. Each Fellow has demonstrated distinction in research in statistics or probability or has demonstrated leadership that has profoundly influenced the field. Rina Foygel Barber University of Chicago For groundbreaking contributions to selective inference including the development of the knockoff filter. For groundbreaking contributions to model-free predictive inference including the jackknife+ and adapting conformal…
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