Berkeley Symposium on Mathematical Statistics and Probability
Proceedings of the Berkeley Symposium on Mathematical Statistics and Probability held at the Statistical Laboratory, University of California, Berkeley, Calif. during the period 1945-1972.
ISSN: 0097-0433
Subjects:
Mathematical statistics--Congresses
Probabilities
The EDRL research group works around a theoretical strain (embodied cognition), a methodological line (design-based research), and a disciplinary emphasis (mathematics). Thus, the laboratory hosts the full cycle of design-research projects that are geared to contribute to theory and practice of multi-modal mathematical learning and reasoning as well as to design theory.
Bayesian probability is an interpretation of probability suggested by Bayesian theory, which holds that the concept of probability can be defined as the degree to which a person believes a proposition. Bayesian theory also suggests that Bayes' theorem can
S. Chatterjee. (2005)cite arxiv:math/0510424Comment: This will appear as a theorem in Robert Adler's new book with Jonathan Taylor on gaussian processes; will not be submitted to any journal in its present form.
M. Raginsky, and I. Sason. (2012)cite arxiv:1212.4663Comment: Foundations and Trends in Communications and Information Theory, vol. 10, no 1-2, pp. 1-248, 2013. Second edition was published in October 2014. ISBN to printed book: 978-1-60198-906-2.
M. Yuan, and T. Cai. (2012)cite arxiv:1211.2607Comment: Published in at http://dx.doi.org/10.1214/09-AOS772 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org).
A. Gorban, and I. Tyukin. (2018)cite arxiv:1801.03421Comment: Accepted for publication in Philosophical Transactions of the Royal Society A, 2018. Comprises of 17 pages and 4 figures.