Latest Articles for Observational Data

Using unstructured data to estimate treatment effects more efficiently.

A detailed look at line intensity mapping and its impact on galaxy evolution.

A new method improves identification of control variables in causal studies.

Study reveals insights on metal-poor stars and their influence on galaxy formation.

A new method estimates causal effects using few interventions even with hidden factors.

This study uses machine learning to identify stars in clusters accurately.

TOI-2533 b reveals new insights on brown dwarfs and star formation.

Examining black hole collisions and the gravitational waves they create.

New methods reveal insights into protoplanets and their role in forming planets.

Using causal ML can significantly improve agricultural decision-making and sustainability.

Researchers analyze KIC4937011 to reveal insights about stellar evolution and mass loss.

A novel approach reveals diverse patient groups based on treatment outcomes.

A look at how scientists study the movement of stars in galaxies.

A method to clarify causal relationships despite unmeasured factors.

A new method enhances climate models' reliability in predicting future conditions.

A look into how we find cause-and-effect relationships in data.

Researchers evaluate how emission lines reveal conditions in giant molecular clouds.

Investigating inflation's role in shaping the universe through various models.

A look into dark matter's behavior and its connection to visible light in Abell 370.

A new method combines diverse data to better understand causal relationships.

Analyzing the best age to start colorectal cancer screening for better outcomes.

A look into dark energy and its influence on cosmic expansion.

Researchers monitor changes in the spin behavior of pulsar PSR B0540 69.

Machine learning seeks to enhance weather forecasting by addressing model biases.

Meta-learning leverages text for better treatment effect estimates.

Weak lensing sheds light on galaxy clusters and dark matter distribution.

A fresh approach to evaluating the impact of varying treatment amounts on outcomes.

Neutron stars reveal the mysteries of matter and gravity under extreme conditions.

Exploring how young star clusters evolve over time through gas expulsion.

Study shows improved predictions for galaxy lensing using neural networks.

Exploring the concept of a bouncing universe and its challenges.

Difference graphs help reveal unique health factors in communities.

A look into how binary stars interact with their surrounding disks.

A look into stellar parameters and the methods used to study stars.

Utilizing multiple LLMs to clarify cause-and-effect relationships in various fields.

Discover the atmosphere and wind dynamics of the extreme exoplanet TOI-1518 b.

Unveiling the cosmic dance of dark energy and matter.

Explore how mutated hilltop inflation shapes our universe's early evolution.

Learn how flow models improve understanding of cause and effect.

A new method for combining patient data to measure treatment effects effectively.