12 citations · 21 across the 4 of their papers we have counts for
4 papers
Estimating Linear Mixed Effects Models with Truncated Normally Distributed Random Effects
Hao Chen, Lanshan Han, Alvin Lim
Linear Mixed Effects (LME) models have been widely applied in clustered data analysis in many areas including marketing research, clinical trials, and biomedical studies. Inference…
Hierarchical Marketing Mix Models with Sign Constraints
Hao Chen, Minguang Zhang, Lanshan Han +1
Marketing mix models (MMMs) are statistical models for measuring the effectiveness of various marketing activities such as promotion, media advertisement, etc. In this research, we…
A Note on the Sum of Non-Identically Distributed Doubly Truncated Normal Distributions
Hao Chen, Lanshan Han, Alvin Lim
It is proved that the sum of n independent but non-identically distributed doubly truncated Normal distributions converges in distribution to a Normal distribution. It is also show…
Beyond the EM Algorithm: Constrained Optimization Methods for Latent Class Model
Hao Chen, Lanshan Han, Alvin Lim
Latent class model (LCM), which is a finite mixture of different categorical distributions, is one of the most widely used models in statistics and machine learning fields. Because…