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Learning Heterogeneity in Causal Inference Using Sufficient ...ideas.repec.org › bpj › causin
ideas.repec.org
... Antonio, United States). Zhu Yeying. () (Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada).
Network Profiles
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Yeying Zhu | Semantic Scholar
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Semantic Scholar profile for Yeying Zhu, with 13 highly influential citations and 20 scientific research papers.
Interests
Wei Luo, Wenbo Wu & Yeying Zhu, Learning Heterogeneity in Causal...
philpapers.org
Often the research interest in causal inference is on the regression causal effect, which is the mean difference in the potential outcomes conditional on the...
Employees
Yeying Zhu at University of Waterloo - RateMyProfessors.com
www.ratemyprofessors.com
Rating and reviews for Yeying Zhu from University of Waterloo Overall Quality Based on 24 ratings. Yeying Zhu. Professor in the Mathematics department at ...
Education
Dang dai Zhongguo jin dai shi yan jiu ( ) = Contemporary...
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Heritage
Yeying Zhu - The Mathematics Genealogy Projectwww.genealogy.math.ndsu.nodak.edu › ...
www.genealogy.math.ndsu.nodak.edu
According to our current on-line database, Yeying Zhu has 1 student and 1 descendant. We welcome any additional information. If you have additional ...
Property
Blackmoor RoadNC | BlockShopper.com
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Books & Literature
Arxiv Sanity Preserver
labs.tib.eu
To estimate casual treatment effects, we propose a new matching approach based on the reduced covariates obtained from sufficient dimension reduction.
Handbook of Environmental and Ecological Statisticsbooks.google.com › books
books.google.de
Yeying Zhu, Donna L Coffman, and Debashis Ghosh. A Boosting Algorithm for Estimating Generalized Propensity Scores with Continuous Treatments. Journal ...
Statistical Causal Inferences and Their Applications in Public Health...
books.google.de
Yeying Zhu and Lin (Laura) Lin Abstract In causal inference for binary treatments, the propensity score is defined as the probability of receiving the treatment ...
An Annotated Bibliography for Taiwan Film Studiesbooks.google.com › books
books.google.de
NTUL Chi O511 Yong yuan de Li Hanxiang / Zhu bian: Yu Yeying; zhu bi: Huang Ren. jöä #joššš I HEß: ###; HE off: #[.. Taibei: Jin Xiu chuban shi yegu fen you ...
Related Documents
Matching Using Sufficient Dimension Reduction for Causal ...arxiv.org › stat
arxiv.org
Authors:Wei Luo, Yeying Zhu. (Submitted on 1 Feb 2017). Abstract: To estimate casual treatment effects, we propose a new matching approach based on the ...
Learning heterogeneity in causal inference using sufficient ...
ww2.amstat.org
Abstract # Title: Learning heterogeneity in causal inference using sufficient dimension reduction. Author(s):, Wenbo Wu* and Wei Luo and Yeying Zhu.
Statistics authors/titles Feb arXiv
arxiv.org
Authors: Wei Luo, Yeying Zhu. Subjects: Methodology (stat.ME). [16] arXiv: [pdf, ps, other]. Title: Sub-Gaussian estimators of the mean of a random ...
Publications
Publications Authored by Yeying Zhu | PubFactswww.pubfacts.com › author › Yeying+Zhu
www.pubfacts.com
Publications by authors named "Yeying Zhu". Are you Yeying Zhu? Register this Author. 6Publications. 124Reads. 26Profile Views ...
A data-adaptive strategy for inverse weighted estimation of causal...
link.springer.com
In most nonrandomized observational studies, differences between treatment groups may arise not only due to the treatment but also because of the effect of
Da long men ke zhan (Buch, 2010) [WorldCat.org]
www.worldcat.org
Diesen Titel erhalten Sie in einer Bibliothek! Da long men ke zhan. [Yeying Xing]
Electronic Supplementary Material for “A data Springer
link.springer.com
Yeying Zhu (Yeying Zhu, Department of Statistics and Actuarial Science, ... N2L 3G1, Canada, ) , Debashis Ghosh, Nandita Mitra and ...
Video & Audio
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Miscellaneous
Yeying Zhu | LinkedIn
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Yeying Zhu - Assistant Professor - University of Waterloo ...
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View Yeying Zhu's profile on LinkedIn, the world's largest professional community. Yeying has 7 jobs listed on their profile. See the complete profile on LinkedIn ...
Chou fu - Edmonton Public Library
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Type. http://bibfra.me/vocab/lite/Work; http://bibfra.me/vocab/marc/LanguageMaterial; http://bibfra.me/vocab/marc/Books. Label: Chou fu, Chun Yeying zhu.
Yeying Zhu | Statistics and Actuarial Science | University of ...uwaterloo.ca › people-profiles › yeying-zhu
uwaterloo.ca
Contact Information: Yeying Zhu Yeying Zhu's personal website Research interests Dr. Zhu's research interest lies in causal inference, machine learning and the ...
Yeying Zhu - Homeyeying.weebly.com
yeying.weebly.com
Yeying Zhu. I'm an Assistant Professor in Statistics and Actuarial Science at University of Waterloo.
Yeying Zhu - CMStatisticscmstatistics.org › RegistrationsV2 › CMStatistics2016 › viewSubmission
cmstatistics.org
Title: Matching using sufficient dimension reduction for causal inference Authors: Wei Luo - Zhejiang University (China) Yeying Zhu - University of Waterloo ...
Research - Yeying Zhu
yeying.weebly.com
Zhu, Y., Ghosh, D., Mitra, N. and Mukherjee, B. (2013), A Data-Adaptive Strategy for Inverse Weighted Estimation of Causal Effects. Zhu, Y., Ghosh, D., Coffman, ...
2013 Joint Statistical Meetings - Celebrating the International Year...
ww2.amstat.org
8:35 AM, A Data-Adaptive Approach to Modeling Propensity Scores for Inverse Weighted Estimation of Causal Effects — Yeying Zhu, Pennsylvania State ...
A model averaging approach for estimating Kudoswww.growkudos.com › publications
www.growkudos.com
Yuying Xie, Yeying Zhu, Cecilia A Cotton, Pan Wu. Statistical Methods in Medical Research, July 2017, SAGE Publications; DOI:
CoMeT | Data-adaptive Approaches to Causal Effect Estimation
halley.exp.sis.pitt.edu
This is a joint work with Yeying Zhu, Donna Coffman, Nandita Mitra and Bhramar Mukherjee. BIO: Debashis Ghosh is Professor of Statistics at ...
2018 Fall - McGill Statistics Seminars
mcgillstat.github.io
Yeying Zhu · Oct 5, Date: Time: 15:30-16:30 Location: BURN Abstract: In this talk, we discuss how sufficient dimension reduction can be ...
Causal inference for multi-level treatments with machine-learned...
www.proquest.com
Yeying Zhu 1 Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON N2L 3G1, Canada 2 Economics ...
Causal inference for multi-level treatments with machine-learned...
www.infona.pl
Propensity score-based methods have been widely developed to adjust for confounders in observational studies to estimate causal treatment effect for binary...
Data-adaptive Approaches to Causal Effect Estimation | RANDwww.rand.org › statistics › seminars › ghosh
www.rand.org
... using both simulated and observational data. This is a joint work with Yeying Zhu, Donna Coffman, Nandita Mitra and Bhramar Mukherjee.
Dimension Reduction for Causal Inference - McGill Statistics ...mcgillstat.github.io › post
mcgillstat.github.io
Yeying Zhu is an Assistant Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. Her research interest ...
Matching Using Sufficient Dimension Reduction for Figsharefigshare.com › articles › Matching_Using_Sufficient_D...
figshare.com
posted on , 06:11 by Wei Luo Yeying Zhu. To estimate causal treatment effects, we propose a new matching approach based on the reduced ...
Mireille Bousquet-Mélou, CNRS, Université de Bordeauxwww.crm.umontreal.ca › cal › sem
www.crm.umontreal.ca
Dimension Reduction for Causal Inference. Yeying Zhu, University of Waterloo. Web site : https://mcgillstat.github.io. back to top ...
Matching Using Sufficient Dimension Reduction for Figshare
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T13:11:41Z (GMT) by Wei Luo Yeying Zhu. To estimate causal treatment effects, we propose a new matching approach based on the reduced ...
Slots - CFEnetworkwww.cfenetwork.org › CFE2016 › schedule_slot
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Yeying Zhu - EO0679: Matching using sufficient dim ... EO215: Software for high-performance and big-data statistics and machine learning Venue: ETSI ...
Penalized regression procedures for variable selection in the ...
www.semanticscholar.org
Debashis Ghosh, Yeying Zhu, Donna L Coffman; Published in Statistics in medicine 2015; DOI: sim A recent topic of much interest in causal ...
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