Statistics

New methods improve the search for distant exoplanets through advanced data analysis.

A new method enhances brain imaging for better accuracy and efficiency.

This study explores how teachers influence each other's beliefs and practices.

New methods enhance prediction accuracy and fairness in healthcare outcomes.

Analyzing the link between pollution and rising temperatures for effective policy action.

This article examines how access to healthy food impacts health outcomes in communities.

Researchers develop a fast emulator for complex computer models.

Exploring the impact of air pollution on mortality rates, especially among the elderly.

This paper proposes using reinforcement learning to enhance adaptive MCMC algorithms.

New online methods improve functional data analysis for real-world applications.

A look into advanced techniques for better data assimilation and filtering.

Learn how lifted samplers improve sampling efficiency in MCMC methods.

A new algorithm enhances the analysis of calcium imaging data in real-time.

A new approach in federated learning captures data dependencies while ensuring privacy.

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

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

Researchers improve SSNNs, enhancing learning from spike data through new methods.

This article examines deep linear networks and the impact of sharpness on training.

A new approach to classifying tabular data using ICL-transformers shows promising results.

Examining complex interactions in games with advanced mathematical methods.

Addressing overfitting and privacy issues in evolving datasets.

Discover a novel approach to causal inference with cocycles.

Assessing data worth is key to improving machine learning outcomes.

This study explores the impact of predictions on individual actions and outcomes.

A new approach to optimize Bayesian inference using generalized methods.

Discover a novel approach to causal inference with cocycles.

A new method tackles duplicated data challenges in spatial point process models.

New online methods improve functional data analysis for real-world applications.

A look at the role of non-probability data in modern statistical methods.

Revolutionizing finance through extended weak convergence and advanced modeling techniques.

A new method combines CNFs and MCMC for improved sampling from complex distributions.

New methods enhance prediction accuracy and fairness in healthcare outcomes.

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 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.

A new approach to optimize Bayesian inference using generalized methods.

Discover a novel approach to causal inference with cocycles.

An exploration of algorithmic stability and testing limitations.

Learn how lifted samplers improve sampling efficiency in MCMC methods.

A look at methods for estimating extreme values in bivariate normal data.

A look at how to handle errors in score-based generative models.

A look at how calibration impacts model predictions and reliability.

CASBAH improves the study of treatment effects using continuous post-treatment variables.