Archive for Bayesian inference
Bayesian persuasive privacy at ICML²⁶
Posted in Books, Mountains, pictures, Statistics, Travel, University life with tags #ERCSyG, adversarial privacy, Bayesian inference, Bayesian privacy, ICML 2026, International Conference on Machine Learning, LLM, LLM reviewing, Ocean, Oceanerc, peer review process, persuasive privacy, proceedings, Seoul, South Korea, statistical machine learning, watermarking on May 14, 2026 by xi'an
MaxEnt 2027 [20-24 Sept.]
Posted in pictures, Statistics, Travel, University life with tags 45th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Bayesian inference, conference, Deutsches Zentrum für Astrophysik, Germany, MaxEnt 2027, maximum entropy, Neisse river, Poland, poster on May 5, 2026 by xi'an
objective Bayesian inference now in paperback
Posted in Books, Statistics with tags advertising, amazon associates, Bayesian foundations, Bayesian inference, Book, Dongchu Sun, JASA, Jim Berger, José Miguel Bernardo, noninformative priors, objective Bayes, paperback, publication, reference priors, technology on May 1, 2026 by xi'an
Bayesian Workflow [cover]
Posted in Books, pictures, R, Statistics, University life with tags Aki Vehtari, Andrew Gelman, Bayesian inference, Bayesian statistics, Bayesian workflow, calibration checking, case studies, Chapman & Hall, computational complexity, cover, CRC Press, decision making, model building, model checking, not a book review, R, Richard McElreath, STAN, Statistical Modeling, statistical practice, workflow on April 25, 2026 by xi'an
David MacKay remembrance day [27 March, Cambridge]
Posted in Books, Statistics, Travel, University life with tags Bayesian inference, Cambridge Philosophical Society, Cambridge University Engineering Department, Cavendish Laboratory, Darwin College, David MacKay, machine learning, sustainable energy, University of Cambridge on February 8, 2026 by xi'an
[Re-posted:] Professor Sir David MacKay (1967-2016) made fundamental contributions to both public and theoretical understandings of energy and of information. He served as Chief Scientific Adviser to the Department of Energy and Climate Change and was Professor of Natural Philosophy in the Cavendish Laboratory before being appointed as the inaugural Regius Professor of Engineering. He was a Fellow of Darwin College.
This one-day meeting of the Cambridge Philosophical Society, dedicated to his memory, considers both the urgent challenges of sustainable energy resources and the global opportunities arising from information technologies. We will be addressing the two main themes of his work: machine learning, information theory and Bayesian inference, together with sustainable energy. The meeting marks the tenth anniversary of David’s death, with speakers who worked with David, build on his contributions in the field of energy and information, and share his values on the importance of clear and accessible communication.
The meeting in Cambridge University Engineering Department is open to all to attend, without charge. The lectures will be live-streamed; edited recordings will later be made available through the Cambridge Philosophical Society website. Registration for both in-person and virtual attendance is recommended.
David MacKay is remembered by many with great affection and respect as colleague, mentor and friend, and it will be good to share these memories. We have set up a webform for you to provide a personal tribute if you wish.
