Statistics

This article reviews deep learning methods for improving wind speed forecasts.

A novel approach for studying CMB polarization and gravitational waves using neural networks.

A guide to creating low volatility portfolios using statistical methods.

A study introduces a method to estimate disease spread for better public health responses.

A method for accurate population estimates at a granular level.

Introducing a Bayesian method for inferring hidden states in complex systems.

New methods improve estimates of treatment effects in clinical trial subgroups.

Using advanced modeling to ensure safe infrastructure management.

Research focuses on improving machine learning defenses against adversarial attacks.

Nii-C improves Bayesian data analysis through efficient sampling techniques.

A new method enhances learning from complex data using Wasserstein proximals.

Methods for transforming complex data into clear visual formats.

Learn how quantile regression and MM algorithms improve data analysis across various fields.

A look into how infant brains develop and the factors influencing this growth.

A novel approach simplifies parameter estimation in models lacking clear likelihood functions.

LASPATED helps analyze data with location and time aspects for better insights.

New method improves uncertainty quantification in data analysis.

Research focuses on improving machine learning defenses against adversarial attacks.

Explore the challenges of adapting to changing rewards in decision-making.

A new approach to improve representation of intersectional identities in image search.

A new model improves sequence generation by combining the strengths of VAEs and SSMs.

FedLog enhances federated learning with efficient communication and data privacy.

This paper examines the synergy between Federated Learning and control applications.

A framework to analyze causal relationships in extreme scenarios.

Research sheds light on interactions in dynamic networks using advanced modeling techniques.

A method to analyze patient treatment effects using existing data.

Introducing a method to improve clustering of distributional data using averages and variations.

Learn how weak lensing helps reveal the universe's hidden mass distributions.

A new approach for effective dimension reduction in classification tasks.

This article discusses methods to tackle bias in research outcomes.

A framework to analyze causal relationships in extreme scenarios.

A new method estimates causal effects using few interventions even with hidden factors.

Information significantly impacts decision-making processes across various fields.

Benford's Law reveals odd patterns in first digits across data sets.

A method for detailed signal analysis over time and frequency.

New methods enhance understanding of the universe through weak gravitational lensing data.

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.

A new approach for effective dimension reduction in classification tasks.

Matching-based policy learning improves treatment assignment based on individual characteristics.

Explore the challenges of adapting to changing rewards in decision-making.

Examining techniques for modeling and understanding multiscale systems using SDEs and parameter estimation.

Analyzing how individual traits affect medication responses through statistical methods.

A guide to estimating integrated volatility and its importance for investors.

A framework to analyze causal relationships in extreme scenarios.

Investigating faster methods for two-sample testing using random Fourier features.