Predicting the popularity of tweets using internal and external knowledge: an empirical Bayes type approach

DOI10.1007/s10182-021-00390-zzbMath1480.62185OpenAlexW3135714562MaRDI QIDQ2058547

Feng Chen, Wai Hong Tan

Publication date: 9 December 2021

Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10182-021-00390-z

zbMATH Keywords

empirical Bayeskernel smoothingnonparametric regressionmaximum a posteriori (MAP) estimation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to social sciences (62P25) Empirical decision procedures; empirical Bayes procedures (62C12)

Uses Software

• R
• TTLocVis

Cites Work

• Marked self-exciting point process modelling of information diffusion on twitter
• Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
• Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
• 10.1162/jmlr.2003.3.4-5.993
• An Introduction to the Theory of Point Processes
• Confidence Distribution, the Frequentist Distribution Estimator of a Parameter: A Review
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