Dear Colleagues,
We are delighted to announce the official publication of the LAMBDA article, together with its full suite of invited discussions, in the Journal of the American Statistical Association (JASA).
This landmark paper by Professor Huang represents a major intellectual contribution to the field, presenting a compelling and rigorous case that data analysis is headed toward full automation. To mark the significance of this work, we invited a distinguished group of leading researchers to engage with and respond to the paper, including David Donoho, Xihong Lin, Xiaoli Meng, James Zou, Sammi Tang, Liu Bang, Fan Zhou, and others. Together, the article and its discussions constitute a rare and important forum on the future of statistical thinking and artificial intelligence.
Whether you work in statistics, machine learning, biomedical research, or data science, we believe this collection offers insights that speak directly to the trajectory of your field. We warmly invite you to read, share, and engage with this work.
Please note that all discussions are open access for three months only, so we encourage you to read and download them at your earliest convenience.
We hope this publication sparks conversation and inspires new directions in your own research.
Warm regards,
Hongtu Zhu
Editor of JASA Application and Case Studies
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Hongtu Zhu
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