Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis.

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第一作者： Ying,Liu

第一单位： Department of Statistics, University of Illinois at Urbana-Champaign, Computing Applications Building, Room 152, 605 E. Springfield Ave., Champaign, IL, 61820, USA.

作者： Ying,Liu ^[1] ; Steven Andrew,Culpepper ^[2] ; Yuguo,Chen ^[1]

作者单位： Department of Statistics, University of Illinois at Urbana-Champaign, Computing Applications Building, Room 152, 605 E. Springfield Ave., Champaign, IL, 61820, USA. ^[1] Department of Statistics, University of Illinois at Urbana-Champaign, Computing Applications Building, Room 152, 605 E. Springfield Ave., Champaign, IL, 61820, USA. sculpepp@illinois.edu. ^[2]

关键词 DINA model cognitive diagnosis model generic identifiability hidden Markov model

主题词贝叶斯定理(Bayes Theorem);心理测定学(Psychometrics);计算机模拟(Computer Simulation);蒙特卡罗法(Monte Carlo Method);认知(Cognition);Markov链(Markov Chains)

DOI 10.1007/s11336-023-09904-x

PMID 36797538

发布时间 2024-08-14

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