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- Living My Truth: Art by Nathaniel Devarie9:00 am
- GRS Dissertation Defense of Buqu Gao9:30 am
- Scenes and Symbols: Artworks from China, Korea, and Japan10:00 am
- Silence Practice12:00 pm
- Common Ground Communion12:20 pm
- Bioinformatics Sponsored Systems Biology Seminar12:45 pm
- Pizza and Parsha1:00 pm
- BU Entrepreneurship and IP Law Clinic Office Hours1:00 pm
- GRS Dissertation Defense of Laurie Hutcheson1:45 pm
- GRS Dissertation Defense of Kristen Wroth1:45 pm
- Anatomy & Neurobiology Department Seminar2:00 pm
- ECE Seminar: Dr. Cosmo Lupo2:00 pm
- GRS Dissertation Defense of Divisha Chummun3:00 pm
- Dance Lecture-Demonstration: Nataly Zuckerman3:30 pm
- Penalized Maximum Tangent Likelihood Estimation and Robust Variable Selection (Yichen Qin - University of Cincinnati) 4:00 pm
- Thinking Through the “Literary Chinese Cosmopolis:” Poetic Glimpses from Ninth Century Silla Korea and Heian Japan4:00 pm
- 8th Annual Sedgwick Memorial Lecture in Gender and Sexuality5:00 pm
- Mind, Body, and Spirit Yoga5:00 pm
- The 21st Century Stock Pot: Upcycled Foods for Sustainability, Health, and Inclusive Dining, with Dr. Jonathan Deutsch5:00 pm
- Discerning Your Vocational Calling Through Seasons of Suffering, A Womanist Narrative5:00 pm
- Collecting and Recollecting: Battlestar Galactica Through Video’s Varied Technologies of Memory5:00 pm
- Deeper Dive: Design Thinking Tools & Strategies Workshop with Innovate@BU5:00 pm
- Imposter Syndrome Panel5:30 pm
- Summary of Crimes - Documentary Screening and Discussion6:00 pm
- Xu Xing Film Screening; Summary of Crimes - Documentary Screening and Discussion6:00 pm
- Actively Moving Forward6:00 pm
- Maundy Thursday Interdenominational Worship Service 6:00 pm
- UMOJA Elections6:00 pm
- Honoring the contributions of the late Vidushi Girija Devi to the Poorabi Ang Thumri genre7:00 pm
- Stage Troupe Presents Smokefall8:00 pm
- Motion Art 20188:00 pm
- Student Recital: Ines Andrade, piano DMA8:00 pm
- Student recital: Victoria Lawal, voice8:00 pm
Penalized Maximum Tangent Likelihood Estimation and Robust Variable Selection (Yichen Qin - University of Cincinnati)
We introduce a new class of mean regression estimators --- penalized maximum tangent likelihood estimation --- for high-dimensional regression estimation and variable selection. We first explain the motivations for the key ingredient, maximum tangent likelihood estimation (MTE), and establish its asymptotic properties. We further propose a penalized MTE for variable selection and show that it is root-n-consistent, enjoys the oracle property. The proposed class of estimators consists penalized L2 distance, penalized exponential squared loss, penalized least trimmed square and penalized least square as special cases and can be regarded as a mixture of minimum Kullback-Leibler distance estimation and minimum L2 distance estimation. Furthermore, we consider the proposed class of estimators under the high-dimensional setting when the number of variables d can grow exponentially with the sample size n, and show that the entire class of estimators (including the aforementioned special cases) can achieve the optimal rate of convergence in the order of sqrt{ln(d)/n}. Finally, simulation studies and real data analysis demonstrate the advantages of the penalized MTE.
When | 4:00 pm to 5:00 pm on Thursday, March 29, 2018 |
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Location | MCS, Room 148, 111 Cummington Mall |