Choice Models: Predicting Consumer Behavior

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Related lectures (34)

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

Ingredients of choice theory MOOC: Introduction to Discrete Choice Models

Covers the theoretical foundations of choice theory and its key components for decision making.

Choice Models: Predicting Consumer Behavior

Explores choice models to predict consumer behavior and market shares.

Beyond Rationality: Behavioral Economics MOOC: Selected Topics on Discrete Choice

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

Choice Modeling MOOC: Introduction to Discrete Choice Models

Explores how choice modeling predicts human behavior and quantifies preferences in various scenarios.

Modeling Choice Behavior

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

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.

Framing: Decision Making in Life-Threatening Scenarios

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

Market Opportunity Evaluation MOOC: Find the right markets for your innovation - A tool for entrepreneurs and innovators for choosing which markets to play in.

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

Stated Preferences Methods

Explores Stated Preferences (SP) methods, choice models, and experimental design for predicting individual behavior and market demand.

Decisions, actions, volition MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores decision models in computational neuroscience, focusing on competitive dynamics, perceptual decision making, and the problem of free will.

World of Data: Machine Learning and Value Chain

Delves into machine learning, data insights, and commercial value in the digital world.

Foundations of ICT: Decision Makers

Introduces the Foundations of ICT course, emphasizing the importance of understanding hidden costs.

Skyfall: Excerpt 1

Explores the tension of making quick decisions under pressure.

Knowledge Tracing: Student Learning and Latent Variables

Explores Bayesian Knowledge Tracing and latent variables for tracing student knowledge and making predictions.

Introduction: Decision Making MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Covers decision models in computational neuroscience, focusing on competitive dynamics and perceptual decision making.

Theory of Decision Dynamics MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores decision dynamics in computational neuroscience, focusing on competitive models and effective 2-dimensional interactions between populations.

Flood Risk in Niamey MOOC: Geographical Information Systems 2

Explores flood risk in Niamey, Niger, and the importance of preventive measures.

Community Engagement: Team Composition

Discusses the importance of team composition in community engagement and empowering communities in decision-making.

Market Opportunity Navigator: Introduction MOOC: Find the right markets for your innovation - A tool for entrepreneurs and innovators for choosing which markets to play in.

Introduces the Market Opportunity Navigator, a tool for identifying and evaluating market opportunities for innovators and entrepreneurs.

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