Statistics

A new method clusters unlabelled remote sensing images efficiently.

CUSUM charts are crucial for monitoring process quality in various industries.

A new model improves ECG analysis by integrating accurate classification and uncertainty estimation.

Exploring how synthetic data safeguards privacy while enabling research access.

A study on buyer-seller interactions to enhance marketplace strategies.

Examining issues and solutions in estimating expected points for player evaluation.

Innovative methods protect patient privacy while advancing medical research collaboration.

A look at how mathematical models measure disease spread.

New models improve understanding of evolutionary relationships among species.

Discover how causal relationships impact decisions in various fields.

E2Tree enhances explainability in ensemble models, improving insights into decision-making processes.

New methods improve predictions in complex systems, especially in geoscience.

A new method improves image reconstruction in noisy medical data.

Innovative approaches enhance statistical testing accuracy with incomplete data.

Local sampling offers a new way to handle complex data efficiently.

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

A new method improves time series analysis using symbolic regression and tree search techniques.

This article explains methods for estimating causal effects in networks with hidden variables.

This model improves analysis of unevenly spaced time-based data across various fields.

A look at how neural networks learn and adapt over time.

A method to enhance machine learning models dealing with corrupted data.

A look into managing inventory when demand is unpredictable.

Strategies for making smarter choices under uncertain conditions.

Improving Q-learning performance amid corrupted feedback in real-world applications.

A new method analyzes how policies affect those in extreme situations.

This article explains methods for estimating causal effects in networks with hidden variables.

Enhance data quality through visual analysis for effective AI projects.

Using past trial data to improve current treatment evaluations.

New methods improve shape analysis of brain structures for better medical diagnosis.

A new approach to enhancing prediction accuracy amidst data uncertainty.

Analyzing treatment effects of a literacy program with new methods and data insights.

Machine learning improves the production and accuracy of official statistics.

Discover strategies to improve your odds in Hopscotch and Warships.

New forecasting methods enhance demand prediction accuracy and inventory management.

A guide to efficiently format academic submissions using elsarticle.cls.

A look at the Ornstein-Uhlenbeck process and its real-world applications.

New adaptive detection algorithms improve target identification in complex environments.

A new method improves estimation of population characteristics using mixed sampling data.

Learn how synthetic data can enhance employee behavior analysis while protecting privacy.

Research reveals how oncologists' teamwork shapes patient access to clinical trials.

A guide to understanding sparse regularized linear regression and its applications in data analysis.

Combining generative modelling and quantile regression for effective data generation.

Key methods for measuring how close quantum states are to desired outcomes.

Analyzing how to estimate null hypotheses in dependent statistical tests.

Explore customer choices in queues and their impact on service efficiency.

Innovative methods protect patient privacy while advancing medical research collaboration.

A guide to efficiently format academic submissions using elsarticle.cls.

Introducing an efficient way to estimate variance in ever-changing systems.