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Updated: Sep 9, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

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感染症の監視データのための状態空間モデリング: ストキャスティックシミュレーション技術と構造変化検出

Christopher D Prashad1

  • 1Department of Mathematics and Statistics, York University, Toronto, ON, M3J 1P3, Canada.

Infectious Disease Modelling
|September 2, 2025
PubMed
まとめ

マルコフチェーンモンテカルロ (MCMC) やシーケンスモンテカルロ (SMC) を含む高度なストカスティックシミュレーション技術は,感染症を効果的にモデル化します. Horseshoe Priorは,COVID-19データにおける変化と予測のトレンドを検出する上で優れたパフォーマンスを示しました.

キーワード:
感染症の監視データ非線形ダイナミック回帰ラオ・ブラックウェル化粒子のフィルター状態空間モデリングストキャスティックシミュレーション構造変化の検出

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