Statistics

Analyzing High-Altitude Electromagnetic Pulses' impact on the electric power grid.

A new model enhances the study of animal communication using raw audio data.

Exploring Bayesian Adaptive Trials and their role in improving social policy evaluation.

Learn how businesses use statistical models to assess marketing campaigns effectively.

A model-based approach to effective stock selection.

A new approach to measure air pollution variables and their impact.

A method to improve analysis of studies with missing information.

A new approach improves treatment strategies by considering individual patient needs.

New tools improve efficiency using lower precision in computations for research.

Examining methods to analyze jets from high-energy particle collisions.

Research highlights the importance of biomarkers in detecting Alzheimer's disease early.

New method improves efficiency in comparing complex data sets.

A new framework enhances hypothesis testing in additive regression models.

A look at key data pipeline tools and their roles in data engineering.

A new approach enhances MCMC sampling efficiency using Riemannian geometry.

This article discusses innovative methods for better statistical analysis of grouped data.

Examining how language models encode and relate concepts.

This article discusses enhancing kernel ridgeless regression using LAB RBF kernels.

Enhancing prediction sets when data conditions shift without needing labels.

Exploring a unified framework for effective offline decision making and its real-world applications.

Learn how new models provide guidance for changing model decisions.

Introducing a new method for statistical modeling on quantum processors.

A new algorithm offers effective solutions for average-reward decision-making tasks.

A new approach to measure air pollution variables and their impact.

Learn how rerandomization and covariate adjustment improve accuracy in experiments.

Learn how businesses use statistical models to assess marketing campaigns effectively.

A model-based approach to effective stock selection.

A method for estimating community memberships while protecting individual privacy.

This work presents methods for identifying and estimating causal effects in complex models.

A method to improve analysis of studies with missing information.

A look into spatio-temporal models and their applications across various fields.

A new approach improves treatment strategies by considering individual patient needs.

This research develops methods for fair resource allocation despite limited user feedback.

A look into how the estimand framework improves clinical trial analysis.

A fresh approach to understanding complex human connections through fuzzy social network analysis.

A study on how Park-and-Ride can reduce congestion and emissions.

Information significantly impacts decision-making processes across various fields.

Benford's Law reveals odd patterns in first digits across data sets.

A method for detailed signal analysis over time and frequency.

New methods enhance understanding of the universe through weak gravitational lensing data.

New framework improves accuracy in Bayesian measurement with limited data.

A look into precision-focused estimation methods in critical fields.

A method for estimating community memberships while protecting individual privacy.

A method for identifying regimes in complex data models.

Analyzing genetic traits through advanced covariance matrix techniques.

This framework tests significant differences in community structures and interactions in networks.

A look into non-symmetric DPPs and their applications in modeling interactions.

A new method for efficient Bayesian quantile estimation and regression.