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Time-dependent Poisson reduced rank models for political text data analysis

  • Published:2020-02 Issue: Volume:142 Page:106813
  • ISSN:0167-9473
  • Container-title:Computational Statistics & Data Analysis
  • language:en
  • Short-container-title:Computational Statistics & Data Analysis

Author:

Jentsch Carsten,Lee Eun Ryung,Mammen Enno

Funder

Deutsche Forschungsgemeinschaft

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference48 articles.

1. First-order integer-valued autoregressive (INAR(1)) process;Al-Osh;J. Time Ser. Anal.,1987

2. Least squares after model selection in high-dimensional sparse models;Belloni;Bernoulli,2013

3. Compared to what? A comment on “a robust transformation procedure for interpreting political text” by martin and vanberg;Benoit;Political Anal.,2008

4. Treating words as data with error: Uncertainty in text statements of policy positions;Benoit;Political Anal.,2009

5. Probabilistic topic models;Blei;Commun. ACM,2012

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. New metrics and tests for subject prevalence in documents based on topic modeling;International Journal of Approximate Reasoning;2023-06

2. Lasso-based variable selection methods in text regression: the case of short texts;AStA Advances in Statistical Analysis;2023-03-20

3. Cross-Corpora Comparisons of Topics and Topic Trends;Jahrbücher für Nationalökonomie und Statistik;2022-08-01

4. Poisson reduced-rank models with sparse loadings;Journal of the Korean Statistical Society;2021-02-02

5. Poisson reduced-rank models with an application to political text data;Biometrika;2020-07-31
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