Latest Articles for Social Science

A method to improve predictions in data with missing outcomes.

This article presents a framework for improved sensitivity analysis of linear estimands.

A new method enhances variance estimation in panel data analysis for accurate results.

Introducing ordered correlation forest for better analysis of ranked outcomes.

A new method enhances the combination of discrete p-values for better research outcomes.

fusionACS combines household survey data for deeper research insights.

Learn how to estimate parameters for heavy-tailed data using piece-wise Pareto distributions.

Understanding and managing missing data is crucial for accurate research outcomes.

A new framework improves causal simulations for reliable data analysis.

A look at drawing conclusions from adaptive experiments in research.

A new method enhances causal inference by incorporating expert insights and managing uncertainty.

A look at methods for identifying causal factors in research.

Learn how to estimate and compare averages effectively using advanced techniques.

Explore the structures and applications of graphs and hypergraphs in various fields.

A look into the role of sensitivity analysis in observational studies.

This article examines how group dynamics affect the spread of diseases and behaviors.

A new method enhances local variable selection for better scientific insights.

This article discusses methods to recover lost information in hypergraphs from simpler graph representations.

Learn how linear models help analyze data and predict outcomes.

This study improves class prevalence estimation using kernel density estimation.

Examining the role of social practices in motion capture technology.

A novel approach enhances estimates in research, focusing on gender gaps.

Study explores how search results affect users' opinions and behaviors.

A new method for better understanding cause-and-effect relationships.

Unraveling the concept of resistance distance in connected networks.

A look at hypergraphs and their significance in analyzing complex connections.

A look at fuzzy rough sets and their role in analyzing uncertain data.

A systematic approach to developing and using indexes in research.

A study challenges common views on how education affects social mobility.

New methods combine causal discovery and reinforcement learning for better insights.

Combining contrastive learning with simplicial complexes improves data representation and analysis.

A statistical model improves analysis of demographic data across various groups.

Explore how random graphs model complex systems and their real-world applications.

A new approach to analyze varying effects of treatments on different groups.

Learn how Hawkes processes model interconnected events in various fields.

This study investigates how biases in LLMs affect human interaction simulations.

A look into clustering methods when data is incomplete.

This article discusses the significance of factor loadings in Confirmatory Factor Analysis.

Learn how causal graphs reveal dependencies between variables.

A study comparing imputation methods for handling missing data in hierarchical structures.