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Fitting Psychometric Models with Methods Based on Automatic Differentiation

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  • Robert Cudeck

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  • Robert Cudeck, 2005. "Fitting Psychometric Models with Methods Based on Automatic Differentiation," Psychometrika, Springer;The Psychometric Society, vol. 70(4), pages 599-617, December.
  • Handle: RePEc:spr:psycho:v:70:y:2005:i:4:p:599-617
    DOI: 10.1007/s11336-005-1404-9
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    References listed on IDEAS

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    1. Ernest Froemel, 1971. "A comparison of computer routines for the calculation of the tetrachoric correlation coefficient," Psychometrika, Springer;The Psychometric Society, vol. 36(2), pages 165-174, June.
    2. Kalaba, Robert & Tishler, Asher, 1984. "Automatic Derivative Evaluation in the Optimization of Nonlinear Models," The Review of Economics and Statistics, MIT Press, vol. 66(4), pages 653-660, November.
    3. Jerrell, Max E, 1997. "Automatic Differentiation and Interval Arithmetic for Estimation of Disequilibrium Models," Computational Economics, Springer;Society for Computational Economics, vol. 10(3), pages 295-316, August.
    4. Max E. Jerrell, "undated". "Automatic Differentiation and Interval Arithmetic for Estimation of Disequilibrium Models," Computing in Economics and Finance 1997 91, Society for Computational Economics.
    5. Paul S. Albert & Lori E. Dodd, 2004. "A Cautionary Note on the Robustness of Latent Class Models for Estimating Diagnostic Error without a Gold Standard," Biometrics, The International Biometric Society, vol. 60(2), pages 427-435, June.
    6. Max E. Jerrell, "undated". "Automatic Differentiation and Interval Arithmetic for Estimation of Disequilibrium Models," Computing in Economics and Finance 1996 _028, Society for Computational Economics.
    7. Huang W. & Zeger S. L. & Anthony J. C. & Garrett E., 2001. "Latent Variable Model for Joint Analysis of Multiple Repeated Measures and Bivariate Event Times," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 906-914, September.
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    Cited by:

    1. Nicholas J. Rockwood, 2020. "Maximum Likelihood Estimation of Multilevel Structural Equation Models with Random Slopes for Latent Covariates," Psychometrika, Springer;The Psychometric Society, vol. 85(2), pages 275-300, June.
    2. Ruggero Bellio & Nicola Soriani, 2021. "Maximum likelihood estimation based on the Laplace approximation for p2 network regression models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 75(1), pages 24-41, February.

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