Concept

Economic forecasting

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Covers the Obermeyer solution approach for production planning and the impact of early market information.

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Explores deep learning for autonomous vehicles, covering perception, action, and social forecasting in the context of sensor technologies and ethical considerations.

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.

Count Data Models & Univariate Time Series Analysis

Covers count data models and Poisson regression, then transitions to univariate time series analysis for forecasting economic variables.

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.

Demand Management Optimization

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

Intelligence Systems: Forecasting and Action

Delves into developing intelligence systems for predicting human behavior and enhancing AI-driven technologies' safety and efficiency.

Error Estimation and Numerical Integration

Explores error estimation in numerical integration and its applications in forecasting, emphasizing the Romberg method and Richardson extrapolation.

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Explores motion planning for autonomous vehicles with a focus on social and ethical considerations.

Real Estate Data Analysis: Descriptive Statistics

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