Statistics

Learn about methods to measure translation quality effectively.

Examining how weather and air pollution affect health in Europe.

A look at how harmonic analysis helps researchers study stars and their oscillations.

New approach combines traditional methods to measure policy impacts.

Exploring fairness issues in AI language models and their implications.

New algorithm improves clustering by combining features and spatial positions.

Scientists enhance solar energy predictions using bias correction methods for climate models.

A new model enhances clinical outcome predictions for patients with Multiple Myeloma.

A new method estimates parameters of neuron activity using real data.

We develop methods for refining models using noisy and indirect observations.

This work improves sampling methods for complex systems stuck in certain states.

GMR offers a fresh approach to studying multiple factors and outcomes in research.

A look at how companies in Europe are rated on sustainability.

Learn how Bayesian online learning adapts models with incoming data.

A new model enhances the analysis of complex health data.

New tools improve efficiency using lower precision in computations for research.

A look into how linear networks learn and evolve during training.

Discover how Leaky ResNets enhance deep learning techniques.

Discover the potential of reference-based modulation in digital art.

Synthetic data aids survival analysis by generating realistic datasets for better modeling.

Exploring how Transformers classify data through contextual information.

A new method simplifies variable selection in large datasets.

A new measure of dissimilarity improves transfer learning in varied data distributions.

This paper examines how knowledge transfer enhances generative model accuracy.

A new method to tackle missing data in healthcare research.

New methods improve understanding of social influence within networks.

Stagewise boosting distributional regression improves analysis of complex data.

A new framework improves clustering accuracy for event data with outliers.

Introducing watermarking to protect counterfactual explanations in machine learning.

Learn how to navigate interference in data-driven decisions.

New method improves reliability in measuring uncertainty in predictive models.

A flexible approach for generating CFEs that respects data privacy concerns.

A method allowing adaptive statistical analysis without rigid model assumptions.

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

This research develops methods for fair resource allocation despite limited user feedback.

A look into how the estimand framework improves clinical trial analysis.

A fresh approach to understanding complex human connections through fuzzy social network analysis.

A study on how Park-and-Ride can reduce congestion and emissions.

Information significantly impacts decision-making processes across various fields.

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

A new method enhances covariance estimation in Gaussian processes with adaptive thresholding.

Tensors offer a new way to analyze complex data across various fields.

Examining the influence of noise and structured signals in random matrix models.

Learn how transfer learning aids in classifying dynamic data effectively.

New algorithms for extracting signals from complex noise scenarios.

This paper explores EM algorithm behavior in mixed linear regression for improved model accuracy.

Exploring improvements in predicting point patterns using Point Process Learning.

Explore methods for handling sparse high-dimensional data in regression analysis.