Latest Articles for Statistical Analysis

A new method enhances data reliability in A/B testing.

INK provides a reliable method for identifying out-of-distribution samples in machine learning.

This article discusses the importance of correcting outcome reporting bias in clinical research.

A new method improves model accuracy in statistical analysis.

Improving survival predictions in medicine with new statistical methods.

A fresh approach to analyzing chaotic dynamics in turbulent flows.

Examining quantum machine learning's data encoding and its impact on performance.

New method streamlines analysis of complex data in generalized linear models.

Evaluating the hurdles organizations face when applying differential privacy in survey data.

Combining study results enables clearer conclusions through p-value analysis.

Two new approaches enhance race prediction accuracy in sensitive assessments.

New strategies for improved outlier detection are reshaping data analysis methods.

A novel method for comparing datasets in medical research and beyond.

Researchers assess risks of identifying individuals from shared data to improve privacy.

Exploring the impact and analysis of rare events across various complex systems.

Research identifies genes linked to breast cancer survival using improved statistical techniques.

New algorithms help protect participant data while estimating treatment effects.

New methods enhance subgroup identification for better-targeted medical treatments.

A new index helps researchers study animal behavior more accurately.

A new approach improves estimates for neonatal mortality in areas with limited data.

This article examines discrete-time systems and their complex behaviors through simplified models.

An overview of strategies to tackle uncertainties in project scheduling.

Scientists use spoon to improve identification of variable genes in tissue samples.

This article addresses bias in graphical models and proposes a method for fair analysis.

A fresh approach improves predictions of disease spreads by including randomness.

Discover how randomness influences the study of prime numbers and Rademacher functions.

Combining generative modelling and quantile regression for effective data generation.

Explore the Sombor index and its relevance in graph theory and chemistry.

Innovative methods protect patient privacy while advancing medical research collaboration.

A look into effective dimension and its impact on model training.

Examining how hard samples affect model performance and the reliability of test accuracy.

A look into how stellar activity affects the search for exoplanets.

A concise overview of ergodic systems and their implications in mathematics.

A method to assess what states stochastic systems can reach over time.

Enhancing Naive Bayes model accuracy using optimal data projections.

A new approach to sampling enhances data collection efforts.

Combining physics models and deep learning to improve predictions and manage uncertainty.

New methods improve the detection of weak gravitational waves from neutron stars.

New methods enhance the accuracy of influence functions in large models.

A study on how thermal fluctuations affect fluid dynamics in turbulent conditions.