Statistics

Methods to improve location estimation amid skewed data and outliers.

A new approach boosts efficiency in analyzing conditional latent Gaussian models.

This article presents a new approach for selecting significant subgraphs in various fields.

Study highlights lightning risks for wind turbines and machine learning's role in predictions.

A new method for accurate surface measurement in optics.

A new method improves breast density evaluation and cancer risk predictions.

A new method improves the analysis of seismic data to enhance earthquake safety.

A study examines how instrumental variables can refine propensity score models in drug research.

Explore essential techniques for handling large datasets effectively.

Methods to improve location estimation amid skewed data and outliers.

A new approach boosts efficiency in analyzing conditional latent Gaussian models.

A look at how compact methods improve data fitting for large datasets.

A new method for accurate surface measurement in optics.

Improving information recovery through Bayesian methods in imaging and signal processing.

Introducing improved residuals for better analyzing compositional datasets.

This work introduces a new method for estimating diffusion processes using multilevel Monte Carlo techniques.

A new framework enhances prediction confidence through learning and reasoning.

This study examines how prior knowledge improves decision-making in reinforcement learning.

Learn how selective predictions improve forecasting accuracy and decision-making in various fields.

Introducing FedFisher, an innovative algorithm for efficient federated learning.

Research aims to estimate graphons while ensuring data privacy.

Exploring how neural networks can approximate functionals in data analysis.

A new method enhances the reliability of neural network predictions in regression tasks.

Transfer learning uses knowledge from one area to improve tasks in another.

Explore essential techniques for handling large datasets effectively.

Methods to improve location estimation amid skewed data and outliers.

A fresh approach to estimating causal effects in social networks.

A new approach boosts efficiency in analyzing conditional latent Gaussian models.

This article discusses an updated TSI model using hospitalization data for better disease management.

This article presents a new approach for selecting significant subgraphs in various fields.

This article discusses a robust estimator for handling categorical survey data effectively.

A new method enhances predictions for gene therapy effectiveness over time.

Methods to improve location estimation amid skewed data and outliers.

A method to choose the best variables for clearer data analysis.

Learn how new methods improve predictions for random events and outcomes.

A comparison of distance measures for effective clustering analysis.

A clear look at why switching doors is the winning strategy.

A project to improve survey representation of underrepresented groups in Liguria.

This article discusses methods for estimating changing parameters in dynamic systems using real-time data.

Introducing expected points and EPAA for assessing player contributions in basketball.

This study examines how prior knowledge improves decision-making in reinforcement learning.

Explore essential techniques for handling large datasets effectively.

Methods to improve location estimation amid skewed data and outliers.

Learn how selective predictions improve forecasting accuracy and decision-making in various fields.

This article presents a new approach for selecting significant subgraphs in various fields.

This article discusses a robust estimator for handling categorical survey data effectively.

Exploring how neural networks can approximate functionals in data analysis.

Transfer learning uses knowledge from one area to improve tasks in another.