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Related lectures (25)

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Choice with Multiple Alternatives: Specification of the Deterministic Part

Introduces choice models focusing on quantitative attributes and modeling heterogeneity.

Deformable Structures II: Hyperstatic Systems and Virtual Work

Explores hyperstatic systems, virtual work, axial rigidity, and reduction of virtual displacements.

Inference of Effects: Models and Interactions

Discusses constant and random coefficient models, factors optimization, and interactions estimation in performance analysis.

Natural Cubic Splines

Explains the construction of natural cubic splines, emphasizing smoothness and continuity in the function representation.

Design of Experiments: Statistical Design and Analysis

Covers statistical design of experiments, focusing on minimizing costs and maximizing accuracy.

Mixture models: latent classes

Explores latent classes in mixture models for discrete choice modeling using the Swissmetro dataset, discussing class-specific models and random parameters estimation.

Specification of the deterministic part

Introduces the specification of the deterministic part in choice models, focusing on quantitative attributes and modeling heterogeneity.

Generalized Additive Models: Applications and Techniques

Explores Generalized Additive Models, covering basics, smooth functions, penalties, practical examples in R, and linear mixed models.

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Instrumental Variables: Intuition and Estimation

Covers instrumental variables, addressing endogeneity issues in regression analysis through estimation techniques and practical examples.