Demand Forecasting: Methods & Cognitive Biases

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Binary Choice Models and Time Series Analysis

Explores binary choice models like probit and logit, as well as univariate time series analysis with ARIMA models for forecasting economic variables.

Time Series: Representation and Modelling

Covers the stochastic properties of time series, stationarity, autocovariance, special stochastic processes, spectral density, digital filters, estimation techniques, model checking, forecasting, and advanced models.

Time Series: Fundamentals and Models

Covers the fundamentals of time series analysis, including models, stationarity, 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, biases, and challenges in economic trend forecasting.

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.

Time Series: Fundamentals and Models

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

Electricity Demand Forecasting

Explores methods for predicting electricity demand evolution and estimating consumption.

Demand Management Optimization

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