1 citations · 1 across the 7 of their papers we have counts for
7 papers
A note on conditional Akaike information for Poisson regression with random effects
Heng Lian
A popular model selection approach for generalized linear mixed-effects models is the Akaike information criterion, or AIC. Among others, \cite{vaida05} pointed out the distinction…
Posterior Convergence and Model Estimation in Bayesian Change-point Problems
Heng Lian
We study the posterior distribution of the Bayesian multiple change-point regression problem when the number and the locations of the change-points are unknown. While it is relativ…
Parameter estimation of high-dimensional linear differential equations
Heng Lian
We study the problem of estimating the coefficients in linear ordinary differential equations (ODE's) with a diverging number of variables when the solutions are observed with nois…
Inference of genetic networks from time course expression data using functional regression with lasso penalty
Heng Lian
Statistical inference of genetic regulatory networks is essential for understanding temporal interactions of regulatory elements inside the cells. For inferences of large networks,…
Bayesian Nonlinear Principal Component Analysis Using Random Fields
Heng Lian
We propose a novel model for nonlinear dimension reduction motivated by the probabilistic formulation of principal component analysis. Nonlinearity is achieved by specifying differ…
On posterior distribution of Bayesian wavelet thresholding
Heng Lian
We investigate the posterior rate of convergence for wavelet shrinkage using a Bayesian approach in general Besov spaces. Instead of studying the Bayesian estimator related to a pa…