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Concept

Demand forecasting

Related lectures (32)

Demand Management: Forecasting Methods

Covers demand management, forecasting methods, and trend analysis in production management.

Demand Forecasting: Model Initiation

Explores demand forecasting through model initiation, including trend identification, seasonal components, and base level determination, to validate and monitor forecast errors.

Demand Forecasting: Methods & Cognitive Biases

Explores demand forecasting methods and cognitive biases affecting decision-making processes.

Demand Forecasting: Methods and Steps

Discusses demand management, forecasting methods, and steps in demand forecasting, emphasizing the importance of accurate forecasts.

Demand Forecasting: Methods and Models

Explores demand forecasting methods, time series analysis, trend forecasting, and the application of the Holt-Winter model.

Time Series

Explores Time Series, covering model specification, diagnostics, and forecasting methods.

Demand Forecasting Methods

Explores demand forecasting steps and the Holt-Winter model for time series analysis.

Demand Management: Forecasting Methods

Explores demand management, forecasting methods, bullwhip effect, Swiss watch industry impact, and cognitive biases in business.

Model Choice and Prediction

Explores model choice, prediction, and forecasting techniques in time series analysis.

Demand Management Optimization

Covers demand management optimization, focusing on forecasting methods and model initiation.

Forecasting & Long Memory: Time Series

Explores forecasting methods and long memory in time series analysis.

Forecasting Methods: Expert Approaches and Professional Predictions

Explores forecasting methods, professional predictions for the Swiss economy, and the quality of anticipations in real estate and economic sectors.

Functional Factor Models: Forecasting Mortality Curves in Japan

Explores high-dimensional functional factor models for forecasting mortality curves in Japan, discussing estimation, consistency, and application.

Red bus/Blue bus paradox

Explores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.

Time Series Forecasting: ARMA Models

Covers ARMA models for time series forecasting, discussing implications, properties of forecast error, challenges with predictions, and covariance models.

Forecasting Methods: Expert Approaches and Professional Predictions

Explores forecasting methods, professional predictions, biases, and challenges in economic trend forecasting.

Real Estate Data Analysis: Descriptive Statistics

Explores real estate data analysis through descriptive statistics, correlation, regression, and forecasting methods.

Residuals & Forecasting: MATH-342 Time Series

Covers residuals, diagnostics, overfitting, and forecasting methods in time series analysis.

Demand Management: Forecasting Methods

Covers forecasting methods for demand planning and the consequences of the bullwhip effect.

Trajectory Forecasting in Autonomous Vehicles

Explores trajectory forecasting in autonomous vehicles, focusing on deep learning models for predicting human trajectories in socially-aware transportation scenarios.