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A Moving Average Cholesky Factor Model in Covariance Modeling for Longitudinal Data
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Semiparametric Mean-Covariance Regression Analysis for Longitudinal Data
, Journal of the American Statistical Association
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Joint Network Reconstruction and Community Detec- tion from Rich but Noisy Data
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Flexible Bayesian Quantile Regression based on the Generalized Asymmetric Huberised-type Distribution
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Integrated Subgroup Identification from Multisource Data
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Uncovering block structures in large rectangular matrices
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Spatial rank-based high-dimensional change point detection via random integration
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Marginal quantile regression for varying coefficient models with longitudinal data
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Regularized estimation of precision matrix for high-dimensional multivariate longitudinal data
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Discrete longitudinal data modeling with a mean-correlation regression approach
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Reduced rank modeling for functional regression with functional responses
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Penalized high-dimensional M-quantile regression: From L1 to Lp optimization
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Ruin probabilities for the phase-type dual model perturbed by diffusion
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Adaptive banding covariance estimation for high-dimensional multivariate longitudinal data,
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Integrative subgroup analysis for high-dimensional mixed-type multi-response data
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Trajectory Clustering with Adjustment for Time-varying Covariate Effects
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Modelling Uncertainty of Responses in Factor Models for Multivariate Ordinal Data
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Simultaneous subgroup identification and variable selection for high dimensional data
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Regression Estimation for Longitudinal Data with Nonignorable Intermittent Nonresponse and Dropout
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Tail Distortion Risk Measure for Portfolio with Multivariate Regularly Variation
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Partially linear functional quantile regression in a reproducing kernel Hilbert space
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A robust joint modeling approach for longitudinal data with informative dropouts
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A joint mean-correlation modeling approach for longitudinal zero-inflated count data
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Faster convergence rate for functional linear regression in reproducing kernel Hilbert spaces
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Bayesian Joint Semiparametric Mean–Covariance Modeling for Longitudinal Data
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Bayesian Nonlinear Quantile Regression Approach for Longitudinal Ordinal Data
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