Latest Articles for Statistical Analysis

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.

Exploring methods to represent uncertainty in scientific data visualizations.

A method to determine risk distributions using mean and c-statistic.

Explore how new imaging methods are changing cancer research and treatment.

A new method streamlines calculations for random effects in Generalized Linear Mixed Models.

Improving methods to verify authenticity of products through Copy Detection Patterns.

This study discusses enhancing model accuracy for long-tailed data using logit adjustment.

Researchers reveal new methods for spotting true signals in stock returns.

A look at random processes and their applications in various fields.

Cure rate models help analyze events over time, impacting fields like medicine and social science.

A new method improves data alignment, especially with noisy datasets.

A novel approach for estimating material durability under stress with unknown pore distributions.

A new method enhances Naive Bayes classifier efficiency by estimating variable weights.

A look at federated learning's challenges and solutions in maintaining data privacy and model accuracy.

A two-stage method for accurate treatment effect estimation when participants don’t comply.

Learn effective strategies for pricing and inventory under demand uncertainty.

Research highlights the importance of analyzing changing treatment effects over time in SW-CRTs.

A study exploring death risks for heart failure patients post-CRT treatment.

Combining Canonical Correlation Analysis with deep learning enhances data insights.

Assessing the impact of HAL on health-related statistical analysis.

A look at LLMs and GBDT in few-shot learning scenarios.