方法证据记录
Bayesian Panel Research
Bayesian panel research combines the longitudinal structure of panel data — where the same units (individuals, firms, countries) are observed at multiple time points — with Bayesian statistical inference. Rather than relying solely on the observed data and point estimates, it incorporates prior knowledge via probability distributions, updates those priors with repeated-measures data, and produces full posterior distributions over model parameters. This yields richer uncertainty quantification and principled handling of individual heterogeneity across waves.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Bayesian Panel Data Research
分类方法记录 · process-pipeline / research-design
- Lancaster, T. (2004). An Introduction to Modern Bayesian Econometrics. Blackwell Publishing. · ISBN 978-1405117868
- Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. · ISBN 978-0521522717
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