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- Bayesian structural equation model. Wiley Interdisciplinary Reviews: Computational Statistics 2014. 6:276-287 .
- A tutorial on the Bayesian approach for analyzing structural equation models. Journal of Mathematical Psychology 2012. 56:135-148 .
- Model comparison of Bayesian semiparametric and parametric structural equation models. Structural Equation Modeling: A multidisciplinary Journal 2011. 18:55-72 .
- A Bayesian approach for analyzing longitudinal structural equation models. Structural Equation Modeling: A multidisciplinary Journal 2011. 18:183-194 .
- A Bayesian approach for nonlinear structural equation models with dichotomous variables using logit and probit links. Structural Equation Modeling: A multidisciplinary Journal 2010. 17:280-302 .
- Bayesian analysis of multivariate latent curve models with nonlinear longitudinal latent effects. Structural Equation Modeling: A multidisciplinary Journal 2009. 16:245-266 .
- Bayesian semiparametric analysis of structural equation models with mixed continuous and unordered categorical variables. Statistics in Medicine 2009. 28:2253-2276 .
- Robust model fitting for the non linear structural equation model under normal theory. British Journal of Mathematical and Statistical Psychology 2009. 62:529-568 .
- A Bayesian approach for analyzing hierarchical data with missing outcomes through structural equation models. Structural Equation Modeling: A multidisciplinary Journal 2008. 15:272-300 .
- A two-level structural equation model approach for analyzing multivariate longitudinal responses. Statistics in Medicine 2008. 27:3017-3041 .
- Semiparametric Bayesian analysis of structural equation models with fixed covariates. Statistics in Medicine 2008. 27:2341-2360 .
- Influence analysis for the factor analysis model with ranking data. British Journal of Mathematical and Statistical Psychology 2008. 61:133-161 .
- Bayesian methods for analyzing structural equation models with covariates, interaction, and quadratic latent variables. Structural Equation Modeling: A multidisciplinary Journal 2007. 14:404-434 .
- Bayesian analysis of structural equation models with multinomial variables and an application to type 2 diabetic nephropathy. Statistics in Medicine 2007. 26:2348-2369 .
- A unified maximum likelihood approach for analyzing structural equation models with missing nonstandard data. Sociological Methods & Research 2007. 35:352-381 .
- Bayesian analysis of latent variable models with non-ignorable missing outcomes from exponential family. Statistics in Medicine 2007. 26:681-693 .
- Bayesian analysis of structural equation models with mixed exponential family and ordered categorical data. British Journal of Mathematical and Statistical Psychology 2006. 59:151-172 .
- Analysis of nonlinear structural equation models with nonignorable missing covariates and ordered categorical data. Statistica Sinica 2006. 16:1117-1141 .
- A maximum likelihood approach for multisample nonlinear structural equation models with missing continuous and dichotomous data. Structural Equation Modeling: A multidisciplinary Journal 2006. 13:325-351 .
- A multivariate probit latent variable model for analyzing dichotomous responses. Statistica Sinica 2005. 15:645-664 .
- Maximum likelihood analysis of a two-level nonlinear structural equation model with fixed covariates. Journal of Educational and Behavioral Statistics 2005. 30:1-26 .
- Application of structural equation models to quality of life. Structural Equation Modeling: A multidisciplinary Journal 2005. 12:435-453 .
- Local influence analysis of two-level latent variable models with continuous and polytomous data. Statistica Sinica 2004. 14:317-332 .
- Local influence analysis for mixture of structural equation models. Journal of Classification 2004. 21:111-137 .
- Bayesian analysis of two-level nonlinear structural equation models with continuous and polytomous data. British Journal of Mathematical and Statistical Psychology 2004. 57:29-52 .
- Bayesian model comparison of nonlinear structural equation models with missing continuous and ordinal categorical data. British Journal of Mathematical and Statistical Psychology 2004. 57:131-150 .
- Maximum likelihood analysis of a general latent variable model with hierarchically mixed data. Biometrics 2004. 60:624-636 .
- Maximum likelihood estimation and model comparison of nonlinear structural equation models with continuous and polytomous variables. Computational Statistics & Data Analysis 2003. 44:125-142 .
- Case-deletion diagnostics for factor analysis models with continuous and ordinal categorical data. Sociological Methods & Research 2003. 31:389-419 .
- Maximum likelihood estimation and model comparison for mixtures of structural equation models with ignorable missing data. Journal of Classification 2003. 20:221-255 .
- Local influence for generalized linear mixed models. Canadian Journal of Statistics 2003. 31:293-309 .
- Local influence analysis of structural equation models with continuous and ordinal categorical variables. British Journal of Mathematical and Statistical Psychology 2003. 56:249-270 .
- Model comparison of nonlinear structural equation models with fixed covariates. Psychometrika 2003. 68:27-47 .
- On local influence analysis of full information item factor models. Psychometrika 2003. 68:339-360 .
- Bayesian analysis of structural equation models with dichotomous variables. Statistics in Medicine 2003. 22:3073-3088 .
- Maximum likelihood estimation of nonlinear structural equation models with ignorable missing data. Journal of Educational and Behavioral Statistics 2003. 28:111-134 .
- Bayesian model selection for mixtures of structural equation models with an unknown number of components. British Journal of Mathematical and Statistical Psychology 2003. 56:145-165 .
- Maximum Likelihood Estimation and Model Comparison for Mixtures of Structural Equation Models with Ignorable Missing Data. Journal of Classification 2003. 20:221-255 .
- Bayesian selection on the number of factors in a factor analysis model. Behaviormetrika 2002. 29:23-39 .
- A Bayesian model selection method with applications. Computational Statistics & Data Analysis 2002. 40:539-557 .
- Local polynomial fitting in semivarying coefficient model. Journal of Multivariate Analysis 2002. 82:166-188 .
- Analysis of structural equation model with ignorable missing continuous and polytomous data. Psychometrika 2002. 67:261-288 .
- Estimating the covariance function with functional data. British Journal of Mathematical and Statistical Psychology 2002. 55:247-261 .
- A Bayesian approach for multigroup nonlinear factor analysis. Structural Equation Modeling: A multidisciplinary Journal 2002. 9:523-553 .
- Analysis of generalized linear mixed models via a stochastic approximation algorithm with Markov chain Monte-Carlo method. Statistics and Computing 2002. 12:175-183 .
- Maximum likelihood estimation of nonlinear structural equation models. Psychometrika 2002. 67:189-210 .
- Bayesian estimation and test for factor analysis model with continuous and polytomous data in several populations. British Journal of Mathematical and Statistical Psychology 2001. 54:237-263 .
- Maximum likelihood estimation of two-level latent variable models with mixed continuous and polytomous data. Biometrics 2001. 57:787-794 .
- Local influence for incomplete data models. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2001. 63:111-126 .
- Asymptotic theory of two-level structural equation models with constraints. Statistica Sinica 2001. 11:135-145 .
- Local influence for incomplete-data models. Journal of the Royal Statistical Society, Series B: Statistical Methodology 2001. 63:111-126 .
- Model selection in structural equation models with continuous and polytomous data. Structural Equation Modeling: A multidisciplinary Journal 2001. 8:378-396 .
- A Bayesian analysis of finite mixtures in the LISREL model. Psychometrika 2001. 66:133-152 .
- Latent variable models with mixed continuous and polytomous data. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2000. 62:77-87 .
- Joint Bayesian analysis of factor scores and structural parameters in the factor analysis model. Annals of the Institute of Statistical Mathematics 2000. 52:722-736 .
- Variable bandwidth selection in varying-coefficient models. Journal of Multivariate Analysis 2000. 74:116-134 .
- Bayesian analysis of structural equation model with fixed covariates. Structural Equation Modeling: A multidisciplinary Journal 2000. 7:411-430 .
- Statistical analysis of nonlinear structural equation models with continuous and polytomous data. British Journal of Mathematical and Statistical Psychology 2000. 53:209-232 .
- Influence analysis of structural equation models with polynomials with polytomous variables. Psychometrika 1999. 64:461-473 .
- Two practical issues in using LISCOMP for analysing continuous and ordered categorical variables. British Journal of Mathematical and Statistical Psychology 1999. 52:195-211 .
- Statistical analysis of nonlinear factor analysis models. British Journal of Mathematical and Statistical Psychology 1999. 52:225-242 .
- Constrained maximum likelihood estimation of two-level covariance structure model via EM type algorithms. Psychometrika 1999. 64:435-450 .
- Bayesian sampling-based approach for factor analysis models with continuous and polytomous data. British Journal of Mathematical and Statistical Psychology 1998. 51:233-252 .
- Analysis of structural equation models with censored or truncated data via EM algorithm. Computational Statistics & Data Analysis 1998. 27:33-46 .
- Analysis of structural equation models with censored data. British Journal of Mathematical and Statistical Psychology 1997. 50:227-241 .
- A Bayesian estimation of factor score in confirmatory factor model with polytomous, censored or truncated data. Psychometrika 1997. 62:29-50 .
- Analysis of covariance structures with truncated variables. Behaviormetrika 1997. 24:39-50 .
- Estimation of factor scores with polytomous data by the EM algorithm. British Journal of Mathematical and Statistical Psychology 1997. 50:215-226 .
- Sensitivity analysis of structural equation models. Psychometrika 1996. 61:93-108 .
- Analysis of structural equation modes with non-identical observations. .
- Sensitivity analysis of structural equation models with equality functional constraints. Computational Statistics & Data Analysis 1996. 23:239-256 .
- Estimation of factor scores in a two-level confirmatory factor analysis model. Computational Statistics & Data Analysis 1995. 20:275-284 .
- A geometric approach of the generalized least-squares estimation in analysis of covariance structures. Statistics & Probability Letters 1995. 24:39-47 .
- A two-stage estimation of structural equation models with continuous and polytomous variables. British Journal of Mathematical and Statistical Psychology 1995. 48:339-358 .
- Covariance and correlation structure analyses with continuous and polytomous variables. Institute of Mathematical Statistics Lecture Notes - Monograph Series 1994. 1994:347-358 .
- A distribution free approach for analysis of two-level structural equation model. Computational Statistics & Data Analysis 1994. 17:265-275 .
- Maximum likelihood estimation in a model with interval data. Journal of Applied Statistics 1993. 20:219-227 .
- Preliminary analysis of multiple group structural equation modeling via cluster analysis. .
- Covariance structure analysis with three-level data. Computational Statistics & Data Analysis 1993. 15:159-178 .
- Analysis of structural equation models with exact and stochastic constraints using a Bayesian approach. Communications in Statistics: Theory and Methods 1993. 22:2171-2183 .
- Covariance structural analysis with polytomous variables in several populations. Acta Mathematicae Applicatae Sinica / Yingyong Shuxue Xuebao (English Series) 1993. 9:63-70 .
- Structural equation models with hierarchical data. .
- Analysis of multisample identified and non-identified structural equation models with stochastic constraints. Computational Statistics & Data Analysis 1993. 16:441-453 .
- Analysis of structural equation models with incomplete polytomous data. Communications in Statistics: Theory and Methods 1992. 21:213-232 .
- Two-level analysis of covariance structures for unbalanced designs with small level-one samples. British Journal of Mathematical and Statistical Psychology 1992. 45:109-123 .
- Bayesian analysis of stochastic constraints in structural equation models. British Journal of Mathematical and Statistical Psychology 1992. 45:93-107 .
- Maximum likelihood and generalized least squares analyses of two-level structural equation models. Statistics & Probability Letters 1992. 14:25-30 .
- Estimation of multivariate polychoric and polyserial correlations with missing observations. British Journal of Mathematical and Statistical Psychology 1992. 45:225-238 .
- Some empirical investigations of LISCOMP. .
- Structural equation models with continuous and polytomous variables. Psychometrika 1992. 57:89-105 .
- Statistical analysis of continuous and polytomous variables in several populations. British Journal of Mathematical and Statistical Psychology 1992. 45:139-149 .
- Analysis of multivariate polychoric correlation models with incomplete data. British Journal of Mathematical and Statistical Psychology 1990. 43:145-154 .
- A three-stage estimation procedure for structural equation models with polytomous variables. Psychometrika 1990. 55:45-51 .
- Covariance structure analysis of correlated observations. .
- Multilevel analysis of structural equation models. Biometrika 1990. 77:763-772 .
- Pseudo maximum likelihood estimation of multivariate polychoric and polyserial correlations. .
- Analysis of multivariate polytomous variates in several groups via the partition maximum likelihood approach. Computational Statistics & Data Analysis 1990. 10:17-27 .
- Full maximum likelihood analysis of structural equation models with polytomous variables. Statistics & Probability Letters 1990. 9:91-97 .
- Simultaneous analysis of multivariate polytomous variates in several groups. Psychometrika 1989. 54:63-73 .
- Simultaneous analysis of multivariate polytomous variates in several groups. Psychometrika 1989. 54:63-73 .
- Estimation of polychoric correlation with elliptical latent variables. Journal of Statistical Computation and Simulation 1988. 30:173-188 .
- Estimation of structural equation models with exact and stochastic prior information. Communications in Statistics: Theory and Methods 1988. 17:1565-1589 .
- Generalized multimode latent variable models: Implementation by standard programs. Computational Statistics & Data Analysis 1988. 7:107-118 .
- Maximum likelihood estimation of multivariate polyserial and polychoric correlation coefficients (Corr: V53 p301). Psychometrika 1987. 52:409-430 .
- Some algorithms in computing GLS estimates of multivariate polychoric correlations. .
- Two-step estimation of multivariate polychoric correlation. Communications in Statistics: Theory and Methods 1987. 16:307-320 .
- A distribution-free method for structural equation models with incomplete data. Communications in Statistics: Theory and Methods 1987. 16:1133-1151 .
- Maximum likelihood estimation of multiple correlations and canonical correlations with categorical data. Applied Psychological Measurement 1987. 11:317-323 .
- Analysis of conditional covariance structure models. Computational Statistics & Data Analysis 1986. 4:41-59 .
- Estimation for structural equation models with missing data. Psychometrika 1986. 51:93-99 .
- Maximum likelihood estimation of polyserial correlations. Psychometrika 1986. 51:113-121 .
- Further developments on constrained estimation in analysis of covariance structures. The Statistician: Journal of the Institute of Statisticians 1985. 34:305-316 .
- Maximum likelihood estimation of polychoric correlations in $r × s × t$ contingency tables. Journal of Statistical Computation and Simulation 1985. 23:53-67 .
- On testing functional constraints in structural equation models. Biometrika 1985. 72:125-131 .
- Analysis of covariance and correlation structures. Computational Statistics & Data Analysis 1985. 2:279-295 .
- Maximum likelihood estimation of multivariate polyserial correlation. .
- Multidimensional scaling models with inequality and equality constraints. Communications in Statistics: Simulation and Computation 1984. 13:127-140 .
- The analysis of structural equation models by means of derivative free nonlinear least squares. Psychometrika 1984. 49:521-528 .
- Covariance structures under polynomial constraints: Applications to correlation and alpha-type structural models (Corr: V8 p315-7). Journal of Educational Statistics 1983. 8:207-222 .
- A scale invariant model for three-mode factor analysis. British Journal of Mathematical and Statistical Psychology 1983. 36:217-223 .
- Covariance structure analysis in several populations. Psychometrika 1982. 47:297-308 .
- A Bayesian approach to confirmatory factor analysis. Psychometrika 1981. 46:153-160 .
- Some remarks on multiple group covariance structure analysis. .
- The multiplier method in constrained estimation of covariance structure models. Journal of Statistical Computation and Simulation 1981. 12:247-257 .
- Some asymptotic properties of constrained generalized least squares estimation in covariance structure models. South African Statistical Journal 1980. 14:121-136 .
- Functional relations in multidimensional scaling. British Journal of Mathematical and Statistical Psychology 1980. 33:142-150 .
- Estimation of covariance structure models with parameters subject to functional restraints. Psychometrika 1980. 45:309-324 .
- Constrained estimation in covariance structure analysis. Biometrika 1979. 66:539-546 .
- A statistical development of three-mode factor analysis. British Journal of Mathematical and Statistical Psychology 1979. 32:87-104 .
- Statistical aspects of a three-mode factor analysis model. Psychometrika 1978. 43:343-352 .
- Generalizations of the partial, part and bipartial canonical correlation analysis (Corr: V44 p131). Psychometrika 1978. 43:427-432 .
- The Gauss-Newton algorithm for the weighted least squares analysis. The Statistician: Journal of the Institute of Statisticians 1978. 27:103-114 .