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Arlene Kim (Sungshin Women’s University)
Tuesday 13 February 2018, 11:00-12:00
Adaptation in log-concave density estimation
⚠️ Important: STS - Statistical scalability
- 👤 Speaker: Arlene Kim (Sungshin Women’s University)
- 📅 Date & Time: Tuesday 13 February 2018, 11:00 - 12:00
- 📍 Venue: Seminar Room 2, Newton Institute
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Abstract
The log-concave maximum likelihood estimator of a density on R^d on a sample of size n is known to attain the minimax optimal rate of convergence up to a log factor when d = 2 and d = 3. In this talk, I will review the univariate adaptation result, and will present new results on adaptation properties in the multivariate setting. This is based on joint work with Oliver Feng, Aditya Guntuboyina and Richard Samworth
Series This talk is part of the Isaac Newton Institute Seminar Series series.
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