Latest Articles for Forecasting

New framework improves predictions by analyzing interconnected data series.

A new method for better economic predictions using latent factors and kernel techniques.

LaT-PFN enhances forecasting by using context and synthetic data for predictions.

Examining how social trends shape energy consumption in the UK and Ireland.

Introducing a model that improves forecasting accuracy for time series data.

A model that links forecasting to multistage decision-making for better outcomes.

A new method improving sequence generation and decision-making in AI.

A new method for central banks to improve monetary policy choices.

A new model enhances short-term rainfall forecasts using advanced techniques.

Calibration ensures predictions align with actual outcomes across various fields.

This article discusses a method for better predicting time series data uncertainty.

A clear look at VARMA models and their applications in time series data.

DAM model improves forecasting accuracy for various time series data.

New techniques improve the speed and accuracy of economic predictions.

CTI offers a new method for more accurate and informative prediction intervals.

Learn how time series analysis aids in predicting future trends.

How small weather changes impact energy production and consumption.

Machine learning methods enhance prediction of chaotic systems in various fields.

This study improves economic predictions using Bayesian methods and a stochastic block model.

Combining Tsetlin machines and hyperdimensional vectors for efficient data handling.

A new pipeline improves forecasting accuracy through unique data representations.

A new method for learning stable nonlinear systems using kernel-based approaches.

A new method improves accuracy in time series predictions across various fields.

New model EF4INCA improves rain forecasting by integrating diverse data sources.

A look into how actions impact health decisions and outcomes.

Exploring how causal relationships enhance forecasting models for better decision-making.

Two scoring systems promote truthful forecasting and prevent expert collusion.

Learn how Bayesian filtering tackles noisy observations to estimate system states.

New model SALAMA 1D improves thunderstorm predictions using vertical atmospheric data.

A method to enhance stability in forecasts while maintaining accuracy in business planning.

An analysis of the DM test and its limitations in forecast accuracy assessment.

New framework improves forecasting accuracy and reliability in uncertain environments.

This article simplifies the research on how weather forecast errors develop over time.

A new model enhances real-time economic predictions using payment data and industry networks.

BONE adapts to changing data, enhancing predictive accuracy across various fields.

A new model enhances forecasting by analyzing seasonal patterns more effectively.

Discover how errors in tropics affect distant weather predictions.

A hybrid system combines human insights with machine forecasts for improved decision-making.

New statistical models enhance the accuracy of weather predictions significantly.

EDformer improves time series forecasting with superior accuracy and explainability.