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Found 6 papers, 0 papers with code
Marketing Mix Optimization with Practical Constraints
In this paper, we address a variant of the marketing mix optimization (MMO) problem which is commonly encountered in many industries, e. g., retail and consumer packaged goods (CPG) industries.
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.
Maximizing Store Revenues using Tabu Search for Floor Space Optimization
Floor space optimization is a critical revenue management problem commonly encountered by retailers.
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.
