University of Wisconsin-Madison
Likelihood principle, adaptive design, Bayes Theorem, directed acyclic graphs
Hierarchcial Bayes, Level Effect, Linear Model
Bayesian Design, D-optimality, Design Robustness, Random Eects Model, Hierarchical Linear Model, Hyperparameter
experiment design, conjoint analysis, conjoint choice designs, discrete choice designs, optimal designs, mixed logit model
Multivariate spatial processes; Graphical Lasso; Brand performance prediction; Consumer packaged goods.
Spatial models, spatial statistics, social intercorrelation, composite likelihood, sequential sampling, large-scale networks, big data.
Computer experiments; Design of experiments; Orthogonal array based Latin hypercube desings; Data pooling.
Experiential events, In-Store Sampling, Marketing Mix Modeling, Information Ratio, Spatial Models.
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