|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Log-concave distributions: definitions, properties, and consequences
If you have a question about this talk, please contact Richard Samworth.
In this talk I will review some results concerning log-concave distributions on one and higher dimensional Euclidean spaces, with emphasis on preservation results, strong log-concavity for both discrete and continuous distributions, and connections with questions arising from statistics.
I will sketch a proof of the log-concavity of Chernoff’s distribution, and briefly mention further problems.
Some background material for this talk is given in the book ‘Unimodality, Convexity and Applications’ by S. Dharmadhikari and K. Joag-dev, Academic Press, 1988.
This talk is part of the Statistics series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsGraduate Programme in Cognitive and Brain Sciences COCA Talks Talk by Gary Dymski: The Neoclassical Sink and the Heterodox Spiral: Why the Twin Global Crisis has not Transformed Economics
Other talksAdam Zagajewski: An Evening of Poetry WHEN GREAT ACHIEVEMENTS ARE NOT GOOD ENOUGH: WHAT WE CAN LEARN FROM DISAPPOINTMENTS AND DISASTERS IN RECENT CONFLICTS The Relative Merits of Alternative Goals of Development: Happiness, Income or Human Peasant farmers and their workers in medieval England Genetic Perspectives on Indigenous Ancestry in the Caribbean Computational Neuroscience Journal Club