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Updated: Sep 9, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
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Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

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マルチ変数プロビットモデルを用いた欠落した経度順位データのベイジアン分析

Xiao Zhang1

  • 1Department of Mathematical Sciences, Michigan Technological University 1400 Townsend Drive, Houghton, Michigan 49931-1295, USA.

Journal of statistics applications & probability
|August 29, 2025
PubMed
まとめ

この研究は,値が欠けている縦数順序データを分析するためのベイジアン法を導入します. 提案されたマルコフ・チェーン・モンテ・カルロ (MCMC) のサンプリング方法は,欠けているデータを効果的に処理し,モデル収束性を改善します.

キーワード:
縦数順位データ脱落する欠けているデータ多変量プロビットモデル特定できない多変量プロビットモデル

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