Statistics

A new method improves the accuracy of environmental data measurements.

Examining the role and issues of instrumental variables in causal analysis.

A look at innovative methods for reducing noise in images across various fields.

Researchers enhance models to prevent collisions in Low Earth Orbit.

Study reveals climate's role in dengue and chikungunya outbreaks across Brazil.

A new method for analyzing A/B tests improves decision-making in recommendation systems.

This study examines variations in brain structure aging among diverse populations.

Methods for enhancing analysis in clinical trials using external data sources.

A new method improves the accuracy of environmental data measurements.

Learn how eBay can improve vendor outage management with data insights.

Persistent sampling enhances efficiency in Sequential Monte Carlo methods for data analysis.

Introducing an effective algorithm for optimizing complex functions with noise.

Introducing a model for better connections and clustering in networks.

A new model reveals complexities in how arboviruses spread via mosquitoes.

A look at RapPCA, a method improving how we handle complex data.

New techniques improve value estimation from Markov chain data.

New data-driven methods enhance delta hedging performance for traders.

A new approach enhances uncertainty quantification in machine learning models.

A study on the effectiveness of clustering methods in various scenarios.

This paper examines the depth and noise effects in poly-GNNs for semi-supervised learning.

Explore methods to effectively fill in missing data in large matrices.

A study on identifying causal relationships amidst hidden variables and measurement errors.

A look into the Adam optimizer's workings and convergence in AI training.

Methods using hypernetworks excelled in predicting asset returns in recent competitions.

Learn about sampling methods to study large networks effectively.

A reliable method for accurately fitting ellipsoids to noisy data points.

A new method improves the accuracy of environmental data measurements.

A method to speed up Bayesian inference in huge datasets using subsampling.

This article explores the connection between slopes in functional regression models.

Examining the role and issues of instrumental variables in causal analysis.

A study on robust methods for analyzing complex data sets in neuroscience.

A new method combines NLP and IRT to enhance ESG scoring accuracy.

A study on how information travels through social networks with community structures.

Examining how scatterers affect wireless signal quality in various environments.

Learn how motion affects wireless communication signals and their reliability.

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.

Learn about sampling methods to study large networks effectively.

Examining the role and issues of instrumental variables in causal analysis.

A study on robust methods for analyzing complex data sets in neuroscience.

This paper examines the depth and noise effects in poly-GNNs for semi-supervised learning.

This paper examines the behavior and challenges of mixture models in statistics.

Learn the importance and methods of quantile estimation in various fields.

Learn how mathematical methods help us understand system behavior over time.

Learn about the hypergeometric distribution and its applications in statistics.