Statistics

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.

New models challenge traditional views on ecosystem stability and dynamics.

Key factors influencing CO2 emissions across developed nations over 25 years.

A study identifies distinct sepsis subtypes in Tanzania to guide treatment.

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 look at simulation-based inference and its applications in research.

LFIS offers a systematic method for sampling from complex distributions.

This study explores how brain activity changes during sleep stages using EEG data.

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

A new method for efficiently modeling complex Gaussian mixtures.

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

TSER enhances forecasting accuracy by generating synthetic samples for underrepresented time series.

A detailed look at effectively measuring diverse outcomes in social initiatives.

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

Explore the impact of norms on neural networks' training and performance.

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

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

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

Introducing an effective tree-based method for multi-label classification that addresses uncertainty.

Learn how Bayesian predictive decision synthesis enhances portfolio management.

A novel approach using optimal transport improves multivariate data comparison.

A look at e-values and their role in hypothesis testing.

Exploring how individual responses to interventions provide clearer insights into effectiveness.

Examining how uncertainty about climate policies affects economic decisions and growth.

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.

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.

A look at e-values and their role in hypothesis testing.

An analysis of SGD behavior in machine learning with insights on eigenvalues and training stability.

Examining how uncertainty about climate policies affects economic decisions and growth.

Exploring sequential testing methods for effective decision-making in statistics.