Latest Articles for Statistical Methods

Unobserved confounders can skew data, leading to false conclusions about recommendations.

Exploring the impact of local discrepancy and functions on QMC techniques.

Exploring new methods for reliable heart disease data analysis.

A method to evaluate frequency distributions in dynamic data streams.

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

A new method enhances parameter estimation in time series analysis.

This study enhances spectroscopy methods for better dairy product analysis.

Essential steps for effective data analysis before detailed examination.

How statisticians use visualization to enhance their analysis and communication.

Innovative tests improve understanding of cross-sectional dependence in panel data.

This study examines methods to predict starvation resistance using genetic and functional data.

Learn how to identify changes in data with confidence sequences.

GrIVET enhances causal analysis by addressing hidden confounders in complex systems.

A look into how events influence one another over time.

Learn how to manage delays in gradient descent effectively.

A new method for estimating false null hypotheses improves accuracy in multiple testing scenarios.

A novel approach enhances predictions for extreme data events.

Improving data reliability with pseudo batch transformation in biomanufacturing.

Examining epidemic models using frequentist methods for better public health interventions.

A new method enhances model accuracy through federated learning and kernel regression.

Examining how temperature variations affect economic performance across different regions.

Explore methods to boost machine learning models across varying data environments.

This article presents a new method for predicting stock returns based on various factors.

This article examines methods for creating hypergraphs with specific degree sequences.

This study presents new techniques for understanding causal effects with continuous post-treatment variables.

A method for better estimation of data distributions from grouped information.

A new method enhances the assessment of infrastructure network reliability.

A new approach improves data analysis in multi-site health studies.

A look at methods for identifying causal factors in research.

Examining methods for protecting privacy in machine learning.

A new tool for easy causal analysis using data without deep expertise.

Introducing DREA, a new algorithm for finding reliable solutions in optimization.

A robust PCA method that minimizes outlier impact and maintains data integrity.

Introducing a probabilistic approach to assess GNN explanations for better reliability.

A new model enhances the assessment of healthcare providers’ performance.

New algorithms improve efficiency in analyzing event dynamics using MHPs.

New method improves identification of crystalline structures using X-ray diffraction data.

New methods enhance treatment outcome estimation for personalized health care.

This research focuses on optimizing knot selection for two-dimensional functional data.

A look into how DIBI models analyze event relationships.