ロード中...
Time-varying copula models for longitudinal data
We propose a copula-based joint modeling framework for mixed longitudinal responses. Our approach permits all model parameters to vary with time, and thus will enable researchers to reveal dynamic response–predictor relationships and response–response associations. We call the new class of models TI...
保存先:
| 出版年: | Stat Interface |
|---|---|
| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5909848/ https://ncbi.nlm.nih.gov/pubmed/29686744 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4310/SII.2018.v11.n2.a1 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|