Statistics

This article discusses efforts to improve school diversity through informed outreach.

Explore a new method for analyzing treatment effects over time.

Examining biases in air quality monitoring and their implications for public health.

Analyzing trends in speedrunning and machine learning reveals insights into record improvements.

A review of methods used to estimate methane emissions and their impact.

Examining a user-driven approach to managing social media content.

Analyzing driving behavior through telematics data reveals insights for insurance risk assessment.

Analyzing the accuracy of health data during the COVID-19 pandemic.

Introducing a method for better estimation of rare event probabilities.

Exploring Bayesian inverse problems and their impact across multiple fields.

Learn how the hset package simplifies data collection and management in R.

A new method improves selection of data columns for better analysis.

New methods enhance speed and accuracy in analyzing health-related datasets.

Explore how depth functions enhance statistical analysis and understanding of data distributions.

A new method enhances the accuracy of two-sample testing amidst hidden differences.

This article presents a new method for defining design spaces in biopharmaceuticals.

A new method enhances joint probability density estimation with lower-dimensional data.

This article reviews how kernel selection impacts modal estimation accuracy in statistics.

Learn how neural networks work and their applications in various fields.

A new method to enhance learning from noisy data in machine learning.

Exploring how multicalibration improves fairness in AI predictions.

Introducing techniques to enhance decision-making in uncertain environments.

New methods improve learning in neural networks with noisy data.

SILVR simplifies the creation of new drug candidates using machine learning and known fragments.

Learn effective methods to enhance group decision-making through better preference aggregation.

New methods improve prediction models for patient health outcomes.

This article reviews how patient group size estimates affect error rates in clinical trials.

Explore a new method for analyzing treatment effects over time.

Examining services after discharge to prevent hospital returns.

Tailoring educational support through adaptive interventions and effective analysis methods.

A new method improves selection of data columns for better analysis.

A look into managing risks in failure analysis through advanced statistical methods.

Explore a new method for analyzing treatment effects over time.

Researchers combine data and strategies for better NBA predictions.

Analyzing the accuracy of health data during the COVID-19 pandemic.

Lockdowns led to higher deaths and costs in breast cancer treatment.

A practical guide to the Saltbox-Roof Probability Distribution and its applications.

Research examines how local interactions can simplify complex systems using image data.

This article explores interventional probability distributions and their role in causality.

How too many measurements can mislead safety in projects.

A look at estimating data distributions affected by noise.

Explore the skew-normal distribution and its use in data analysis.

This paper studies the uniform consistency of spectral embeddings in various applications.

A look at how generalized BART improves data analysis methods.

Explore how depth functions enhance statistical analysis and understanding of data distributions.

Recent methods improve estimation accuracy in various fields through advanced filtering techniques.

Exploring MAP estimators in Bayesian analysis of inverse problems.

GGLM tackles data dependencies for better insights in complex situations.