Statistics

A new approach to identify anomalies in industrial data for better efficiency.

A study on ICU bed use during the COVID-19 pandemic.

A digital twin simulates hydrogen combustor behavior to improve gas turbine stability.

This article discusses the manipulations and flaws of PD plots in AI fairness.

Learn how Bayesian predictive decision synthesis enhances portfolio management.

A deep dive into Excess-of-Loss reinsurance and its advantages over Stop-Loss contracts.

A look at the importance and methods of estimating water table depth.

A method to enhance accuracy in clinical equivalence testing through model averaging.

A study on improving prediction accuracy for regression models.

A study on the effects of fractures on saltwater movement in freshwater zones.

A new method to evaluate covariance functions efficiently in Gaussian processes.

Combining tensor completion with uncertainty quantification for better data insights.

This article discusses methods used to address unknown data in various fields.

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

New techniques improve Bayesian inference in Hidden Markov Models for better data analysis.

Learn about an efficient method for calculating left-tail rare event probabilities.

A study on improving prediction accuracy for regression models.

Introducing a method for selecting subdata to improve classification accuracy.

Combining generative models and maximum likelihood estimation enhances detector calibration precision.

A new method to improve efficiency in combining sensor data.

A new method for predicting complex outcomes using matrix data.

A method to enhance the accuracy of statistical estimates efficiently.

A new method identifies variable interactions in complex time series data.

A new method improves the comparison of observational studies and randomized trials.

A new method for better estimating relationships in high-dimensional data.

Learn methods to monitor market changes and identify potential financial bubbles.

A study on improving prediction accuracy for regression models.

A new framework tackles challenges in handling significant data changes.

A cautious approach to selecting causal models improves research accuracy.

Introducing a method for selecting subdata to improve classification accuracy.

A method to assess uncertainty in graph predictions using conformal prediction.

A new framework improves tracking of brain connections for better insights into function and disorders.

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.

Understanding the complexities of evaluating single-treatment effects in factorial designs.

A look at how covariate adjustment clarifies research findings by managing confounding variables.

A method allowing adaptive statistical analysis without rigid model assumptions.

A new approach to boxplots ensures data privacy while maintaining insightful analysis.

A new method for better estimating relationships in high-dimensional data.

A study on improving prediction accuracy for regression models.

A new method to improve efficiency in combining sensor data.

A method to enhance the accuracy of statistical estimates efficiently.

This article examines U-Nets and their role in image processing using generative models.

A fresh framework for studying point processes using random measures and functional analysis.

A look into modeling uncertainty with imprecise Markov semigroups.

A novel approach using optimal transport improves multivariate data comparison.