Choice Theory: Theoretical Foundations

Related lectures (32)

Page 2 of 4

Explores utility functions and risk management in asset pricing under uncertainty.

Covers Bayesian decision theory, cost functions, classification, and decision rules.

Explores investment choice using multi-criteria approaches and discusses challenges in criteria selection and scoring methods.

Explores Bayesian classification, decision making, and pattern recognition applications in image processing.

Explores evaluating market opportunities for innovators and entrepreneurs using the Market Opportunity Navigator tool.

Explores piecewise linear specifications in choice models and their impact on sensitivity to travel time.

Covers the specification of the deterministic part in choice models.

Covers the specification of choice models with qualitative attributes and discusses modeling heterogeneity through segmentation.

Introduces the piecewise linear specification in choice models, illustrating how sensitivity to travel time varies.

Covers decision analysis, concept selection methods, non-dominance, and optimization in system design.