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- Li Cai (Chinese: 蔡力; pinyin: Cài Lì; born c. 1980) is a statistician and quantitative psychologist. He is a professor of Advanced Quantitative Methodology at the UCLA Graduate School of Education and Information Studies with a joint appointment in the quantitative area of the UCLA Department of Psychology. He is also Director of the National Center for Research on Evaluation, Standards, and Student Testing, Managing Partner at Vector Psychometric Group. He invented the Metropolis–Hastings Robbins–Monro algorithm for inference in high-dimensional latent variable models that had been intractable with existing solutions. The algorithm was recognized as a mathematically rigorous breakthrough in the "curse of dimensionality" and garnered numerous top-tier publications and national awards. (en)
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- 7105 (xsd:nonNegativeInteger)
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- Invention and proof of correctness of a solution for latent variable models that were considered intractable (en)
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- SMEP Cattell Award (en)
- AERA Outstanding Quantitative Dissertation (en)
- APA Anne Anastasi Distinguished Early Career Award (en)
- FABBS Early Career Impact Award (en)
- NCME Brenda H. Loyd Award (en)
- NSF PECASE (en)
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- A Metropolis–Hastings Robbins–Monro algorithm for maximum likelihood nonlinear latent structure analysis with a comprehensive measurement model (en)
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- Li Cai (Chinese: 蔡力; pinyin: Cài Lì; born c. 1980) is a statistician and quantitative psychologist. He is a professor of Advanced Quantitative Methodology at the UCLA Graduate School of Education and Information Studies with a joint appointment in the quantitative area of the UCLA Department of Psychology. He is also Director of the National Center for Research on Evaluation, Standards, and Student Testing, Managing Partner at Vector Psychometric Group. (en)
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- Li Cai (psychometrician) (en)
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