Lectures related to Ingredients of choice theory

Choice Theory: Theoretical Foundations

Covers the theoretical foundations of choice theory, decision makers, alternatives, attributes, decision rules, utility, and behavioral assumptions.

Decisions under Risk and Uncertainty: Behavioral Economics Insights

Delves into decision-making under risk, bounded rationality, prospect theory, and framing, with insights from behavioral economics.

Beyond Rationality: Behavioral Economics

Delves into human decision-making beyond rationality, exploring concepts like the decoy effect.

Choice Models: Predicting Consumer Behavior

Explores the use of choice models to predict consumer behavior in various contexts.

Modeling Choice Behavior

Explores the significance of modeling choice behavior in transportation, marketing, health, and energy, emphasizing the importance of understanding individual decision-making.

Choice Models: Predicting Consumer Behavior

Explores choice models to predict consumer behavior and market shares.

Expected Utility and Risk-Aversion

Explores expected utility theory, risk-aversion, utility functions, and decision-making under uncertainty.

Detection & Estimation

Covers binary classification, hypothesis testing, likelihood ratio tests, and decision rules.

Framing: Decision Making in Life-Threatening Scenarios

Explores decision-making under uncertainty and the impact of framing on choices.

Surprise, Curiosity and Reward: An Evolutionary Perspective

Explores the evolutionary perspective on surprise, curiosity, and reward, focusing on the role of primary and secondary reward signals.

Asset Pricing: Utility Functions and Risk Management

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

Bayesian Decision Theory: Utility, Risk, and Classification

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

Investment Choice: Multi-Criteria Approaches

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

Image Processing II: Bayesian Classification and Decision Making

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

Market Opportunity Evaluation

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

Specification of the deterministic part

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

Specification of the deterministic part

Covers the specification of the deterministic part in choice models.

Choice Models: Specification and Heterogeneity

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

Choice Models: Piecewise Linear Specification

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

Cost-Benefit Analysis: Decision Making and Ethics

Explores cost-benefit analysis in decision-making, emphasizing ethical considerations and societal values.