Efficient Bayesian generalized linear models with time-varying coefficients: The walker package in R-Reference-Cited by-同舟云学术

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Efficient Bayesian generalized linear models with time-varying coefficients: The walker package in R

Published:2022-06 Issue: Volume:18 Page:101016
ISSN:2352-7110
Container-title:SoftwareX
language:en
Short-container-title:SoftwareX

Author:

Helske Jouni

Publisher

Elsevier BV

Subject

Computer Science Applications,Software

Reference18 articles.

1. Testing for random walk coefficients in regression and state space models;Moryson,2012

2. Nonparametric estimation of time-varying parameters;Robinson,1989

3. Dynamic network models for forecasting;Dagum,1992

4. The estimation of regression models with time-varying parameters;Harvey,1982

5. The Stan C++ library;Stan Development Team,2016

Cited by 2 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. Estimating causal effects from panel data with dynamic multivariate panel models;Advances in Life Course Research;2024-06

2. walker: Bayesian Generalized Linear Models with Time-Varying Coefficients;CRAN: Contributed Packages;2017-06-15

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