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Estimating Linear Mixed Effects Models with Truncated Normally Distributed Random Effects
Linear Mixed Effects (LME) models have been widely applied in clustered data analysis in many areas including marketing research, clinical trials, and biomedical studies.
Hierarchical Marketing Mix Models with Sign Constraints
Marketing mix models (MMMs) are statistical models for measuring the effectiveness of various marketing activities such as promotion, media advertisement, etc.
Quadratic Surface Support Vector Machine with L1 Norm Regularization
We propose $\ell_1$ norm regularized quadratic surface support vector machine models for binary classification in supervised learning.
Beyond the EM Algorithm: Constrained Optimization Methods for Latent Class Model
One likelihood-based method, the Expectation-Maximization (EM) algorithm, is often used to obtain the model estimators.
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