Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness
暂无分享,去创建一个
Joseph G. Ibrahim | Sy-Miin Chow | Hongtu Zhu | Nian-Sheng Tang | J. Ibrahim | Hongtu Zhu | Sy-Miin Chow | Niansheng Tang
[1] A. Troxel,et al. AN INDEX OF LOCAL SENSITIVITY TO NONIGNORABILITY , 2004 .
[2] J G Ibrahim,et al. Monte Carlo EM for Missing Covariates in Parametric Regression Models , 1999, Biometrics.
[3] W. Wong,et al. The calculation of posterior distributions by data augmentation , 1987 .
[4] Peter C. M. Molenaar,et al. A dynamic factor model for the analysis of multivariate time series , 1985 .
[5] Marco Lippi,et al. The Generalized Dynamic Factor Model , 2002 .
[6] D. Pfeffermann,et al. Small area estimation , 2011 .
[7] H. Ishwaran,et al. Markov chain Monte Carlo in approximate Dirichlet and beta two-parameter process hierarchical models , 2000 .
[8] D. Rubin,et al. Inference from Iterative Simulation Using Multiple Sequences , 1992 .
[9] Joseph G Ibrahim,et al. Local Influence for Generalized Linear Models with Missing Covariates , 2009, Biometrics.
[10] A. Linde. Local influence on posterior distributions under multiplicative modes of perturbation , 2007 .
[11] R. Millar,et al. Assessment of locally influential observations in Bayesian models , 2007 .
[12] Bengt Muthén,et al. Bayesian structural equation modeling: a more flexible representation of substantive theory. , 2012, Psychological methods.
[13] Martyn Plummer,et al. JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling , 2003 .
[14] D. Rubin,et al. Statistical Analysis with Missing Data , 1988 .
[15] Ming-Hui Chen,et al. Monte Carlo Estimation of Bayesian Credible and HPD Intervals , 1999 .
[16] J. Ibrahim,et al. Perturbation selection and influence measures in local influence analysis , 2007, 0803.2986.
[17] P. Gustafson. Local sensitivity of posterior expectations , 1996 .
[18] Sy-Miin Chow,et al. Dynamic Structure of Emotions Among Individuals with Parkinson's Disease , 2004 .
[19] Sik-Yum Lee,et al. Structural equation modelling: A Bayesian approach. , 2007 .
[20] P. Molenaar,et al. Dynamic Factor Analysis of Psychophysiological Signals , 1994 .
[21] E. Diener,et al. The personality structure of affect. , 1995 .
[22] C. Antoniak. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems , 1974 .
[23] Emilio Ferrer,et al. Modeling affective processes in dyadic relations via dynamic factor analysis. , 2003, Emotion.
[24] Stuart R. Lipsitz,et al. Marginal models for the analysis of longitudinal measurements with nonignorable non-monotone missing data , 1998 .
[25] Shinto Eguchi,et al. Local model uncertainty and incomplete‐data bias (with discussion) , 2005 .
[26] A. Rotnitzky,et al. A note on the bias of estimators with missing data. , 1994, Biometrics.
[27] Snigdhansu Chatterjee,et al. Structural Equation Modeling, A Bayesian Approach , 2008, Technometrics.
[28] Ian T. Jolliffe,et al. Introduction to Multiple Time Series Analysis , 1993 .
[29] N. Nicolson,et al. The role of stressful events in the relationship between positive and negative affects: evidence from field and experimental studies. , 2000, Journal of personality.
[30] Roderick J. A. Little,et al. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data , 2002 .
[31] Gilbert Swinnen,et al. Biased latent variable mean comparisons due to measurement noninvariance. A simulation study , 2018 .
[32] J. Ibrahim,et al. Bayesian influence analysis: a geometric approach. , 2011, Biometrika.
[33] John R. Nesselroade,et al. Perceived control and academic performance: A comparison of high- and low-performing children on within-person change patterns , 2002 .
[34] Dipak K. Dey,et al. On local sensitivity measures in Bayesian analysis , 1996 .
[35] G Molenberghs,et al. Sensitivity Analysis for Nonrandom Dropout: A Local Influence Approach , 2001, Biometrics.
[36] John Geweke,et al. Maximum Likelihood "Confirmatory" Factor Analysis of Economic Time Series , 1981 .
[37] P. Whittle,et al. Latent Variables in Socio‐Economic Models , 1978 .
[38] Shun-ichi Amari,et al. Differential-geometrical methods in statistics , 1985 .
[39] Nian-Sheng Tang,et al. ANALYSIS OF NONLINEAR STRUCTURAL EQUATION MODELS WITH NONIGNORABLE MISSING COVARIATES AND ORDERED CATEGORICAL DATA , 2006 .
[40] David B. Dunson,et al. Bayesian Nonparametrics: Nonparametric Bayes applications to biostatistics , 2010 .
[41] P. Gustafson. Local Sensitivity of Inferences to Prior Marginals , 1996 .
[42] S. Walker,et al. Coherent psychometric modelling with Bayesian nonparametrics. , 2009, The British journal of mathematical and statistical psychology.
[43] Helmut Ltkepohl,et al. New Introduction to Multiple Time Series Analysis , 2007 .
[44] Helmut Lütkepohl,et al. Introduction to multiple time series analysis , 1991 .
[45] D. Kaplan,et al. A study of the power associated with testing factor mean differences under violations of factorial invariance , 1995 .
[46] Steven N. MacEachern,et al. Nonparametric Bayesian modelling for item response , 2008 .
[47] J G Ibrahim,et al. Maximum Likelihood Methods for Cure Rate Models with Missing Covariates , 2001, Biometrics.
[48] Lutz Kilian,et al. NEW INTRODUCTION TO MULTIPLE TIME SERIES ANALYSIS, by Helmut Lütkepohl, Springer, 2005 , 2006, Econometric Theory.
[49] J. Sethuraman. A CONSTRUCTIVE DEFINITION OF DIRICHLET PRIORS , 1991 .
[50] Xin-Yuan Song,et al. Semiparametric Bayesian analysis of structural equation models with fixed covariates , 2008, Statistics in medicine.
[51] A. Rotnitzky,et al. Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis by DANIELS, M. J. and HOGAN, J. W , 2009 .
[52] Geert Molenberghs,et al. Kernel weighted influence measures , 2005, Comput. Stat. Data Anal..
[53] Lancelot F. James,et al. Gibbs Sampling Methods for Stick-Breaking Priors , 2001 .
[54] T. Ferguson. A Bayesian Analysis of Some Nonparametric Problems , 1973 .
[55] Hongtu Zhu,et al. Bayesian estimation of semiparametric nonlinear dynamic factor analysis models using the Dirichlet process prior. , 2011, The British journal of mathematical and statistical psychology.
[56] Sy-Miin Chow,et al. Bayesian Factor Analysis as a Variable-Selection Problem: Alternative Priors and Consequences , 2016, Multivariate behavioral research.
[57] Hongtu Zhu,et al. Bayesian Sensitivity Analysis of Statistical Models with Missing Data. , 2014, Statistica Sinica.
[58] D. Reiss,et al. Sensitivity Analysis of Multiple Informant Models When Data Are Not Missing at Random , 2013, Structural equation modeling : a multidisciplinary journal.
[59] Hongtu Zhu,et al. Bayesian Influence Measures for Joint Models for Longitudinal and Survival Data , 2012, Biometrics.
[60] Geert Molenberghs,et al. The nature of sensitivity in monotone missing not at random models , 2006, Comput. Stat. Data Anal..
[61] Geert Molenberghs,et al. A local influence approach to sensitivity analysis of incomplete longitudinal ordinal data , 2001 .
[62] David A. Sbarra,et al. Predicting the Onset of Emotional Recovery Following Nonmarital Relationship Dissolution: Survival Analyses of Sadness and Anger , 2006, Personality & social psychology bulletin.
[63] T. Griffiths,et al. Modeling individual differences using Dirichlet processes , 2006 .
[64] L. Tierney,et al. Approximate methods for assessing influence and sensitivity in Bayesian analysis , 1989 .
[65] R. Engle,et al. A One-Factor Multivariate Time Series Model of Metropolitan Wage Rates , 1981 .
[66] Asim Ansari,et al. Semiparametric Thurstonian Models for Recurrent Choices: A Bayesian Analysis , 2006 .
[67] James O. Berger,et al. An overview of robust Bayesian analysis , 1994 .
[68] R. Weiss. An approach to Bayesian sensitivity analysis , 1996 .
[69] M. Lavine. Sensitivity in Bayesian Statistics: The Prior and the Likelihood , 1991 .
[70] Bengt Muthén,et al. Bayesian SEM : A more flexible representation of substantive theory , 2010 .