An Extended Mallows Model for Ranked Data Aggregation-Reference-Cited by-同舟云学术

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An Extended Mallows Model for Ranked Data Aggregation

Published:2019-04-23 Issue:530 Volume:115 Page:730-746
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Li Han¹²,Xu Minxuan²³,Liu Jun S.⁴,Fan Xiaodan²

Affiliation:

1. College of Economics, Shenzhen University, Shenzhen, China;

2. Department of Statistics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong;

3. Department of Statistics, University of California, Los Angeles, CA;

4. Department of Statistics, Harvard University, Cambridge, MA

Funder

Mathematical Tianyuan Fund of the National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2019.1573733

Reference39 articles.

1. Probability models on horse-race outcomes

2. Hybrid Bayesian-rank integration approach improves the predictive power of genomic dataset aggregation

3. Probability models on rankings

4. Detecting a Trend in Paired Rankings

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1. Effective signal reconstruction from multiple ranked lists via convex optimization;Data Mining and Knowledge Discovery;2024-01-02

2. Bayesian Latent Variable Model of Mixed Correlated Rank and Beta-Binomial Responses with Missing Data for the International Statistical Literacy Project Poster Competition;Sankhya B;2023-03-27

3. Model fitting using partially ranked data;Journal of Nonparametric Statistics;2023-02-19

4. Rank‐based Bayesian variable selection for genome‐wide transcriptomic analyses;Statistics in Medicine;2022-07-18

5. A generalized Mallows model based on ϕ-divergence measures;Journal of Multivariate Analysis;2022-07

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