Zhaohua Lu, Ph.D.
Affiliations: | 2010 | The Chinese University of Hong Kong, Hong Kong, Hong Kong |
Area:
StatisticsGoogle:
"Zhaohua Lu"Parents
Sign in to add mentor| Xin-Yuan Song | grad student | 2010 | Chinese University of Hong Kong | |
| (Semiparametric Latent Variable Models with Bayesian P-splines.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Ou L, Hunter MD, Lu Z, et al. (2023) Estimation of nonlinear mixed-effects continuous-time models using the continuous-discrete extended Kalman filter. The British Journal of Mathematical and Statistical Psychology |
| Ji L, Chen M, Oravecz Z, et al. (2020) A Bayesian Vector Autoregressive Model with Nonignorable Missingness in Dependent Variables and Covariates: Development, Evaluation, and Application to Family Processes. Structural Equation Modeling : a Multidisciplinary Journal. 27: 442-467 |
| Lu ZH, Chow SM, Loken E. (2017) A comparison of Bayesian and frequentist model selection methods for factor analysis models. Psychological Methods. 22: 361-381 |
| Lu ZH, Chow SM, Loken E. (2016) Bayesian Factor Analysis as a Variable-Selection Problem: Alternative Priors and Consequences. Multivariate Behavioral Research. 1-21 |
| Lu ZH, Chow SM, Sherwood A, et al. (2015) Bayesian Analysis of Ambulatory Blood Pressure Dynamics with Application to Irregularly Spaced Sparse Data. The Annals of Applied Statistics. 9: 1601-1620 |
| Chow SM, Lu Z, Sherwood A, et al. (2014) Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm. Psychometrika |
| Zhu H, Khondker Z, Lu Z, et al. (2014) Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers. Journal of the American Statistical Association. 109: 997-990 |
| Song X, Lu Z, Feng X. (2014) Latent variable models with nonparametric interaction effects of latent variables. Statistics in Medicine. 33: 1723-37 |
| Hyun JW, Li Y, Gilmore JH, et al. (2014) SGPP: spatial Gaussian predictive process models for neuroimaging data. Neuroimage. 89: 70-80 |
| Liu P, Chen J, Lu Z, et al. (2014) Transformation Structural Equation Models With Highly Nonnormal and Incomplete Data Structural Equation Modeling: a Multidisciplinary Journal. 22: 401-415 |