Sufficiency Revisited: Rethinking Statistical Algorithms in the Big Data Era
From MaRDI portal
Publication:6039600
DOI10.1080/00031305.2016.1255659OpenAlexW2563173212WikidataQ58246719 ScholiaQ58246719MaRDI QIDQ6039600
James J. Brown, Jarod Y. L. Lee, Louise M. Ryan
Publication date: 23 May 2023
Published in: The American Statistician (Search for Journal in Brave)
Full work available at URL: https://figshare.com/articles/journal_contribution/Sufficiency_Revisited_Rethinking_Statistical_Algorithms_in_the_Big_Data_Era/4445795
privacydistributed databasebig datamultilevel modelgeneralized linear mixed modeldivide and recombine
Related Items (2)
Distributed identification of heterogeneous treatment effects ⋮ Relative efficiency of using summary versus individual data in random‐effects meta‐analysis
Cites Work
- Unnamed Item
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- A distributed algorithm for fitting generalized additive models
- Aggregated estimating equation estimation
- Privacy and confidentiality in an e-commerce world: data mining, data warehousing, matching and disclosure limitation
- A split-and-conquer approach for analysis of
- Symbolic Data Analysis
- Hierarchical Poisson Regression Modeling
- k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
- A Scalable Bootstrap for Massive Data
- Handbook of Big Data
- Fast Moment-Based Estimation for Hierarchical Models
This page was built for publication: Sufficiency Revisited: Rethinking Statistical Algorithms in the Big Data Era