Demand Forecasting: Methods and Models

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Demand Forecasting: Methods & Cognitive Biases

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

Integrated and Seasonal Processes: Time Series

Explores parametric estimation, integrated processes, seasonal modeling, and ARIMA model building in time series analysis.

Residuals & Forecasting: MATH-342 Time Series

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

Time Series: Forecasting and Long Memory

Explores forecasting in time series analysis, long memory processes, and ARCH models for volatility modeling.

Time Series Forecasting: ARMA Models

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

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.

Time Series: Fundamentals and Models

Explores the fundamentals of time series analysis, including stationarity, linear processes, forecasting, and practical aspects.

Estimation and Forecasting in Time Series

Explores estimation, forecasting, and model comparison in time series analysis using real data examples to motivate the study.

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.

Demand Forecasting: Methods and Steps

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