Statistics

Studying how age and mutations affect myeloproliferative neoplasms.

Bayesian emulators enhance decision-making in petroleum well control under uncertainty.

A method to detect overheating in marine motors amidst changing conditions.

Researchers improve reliability testing of one-shot devices using innovative statistical methods.

A study on advanced methods for evaluating basketball players' contributions.

A detailed analysis of ODI cricket's performance trends over 36 years.

A study introduces a model to estimate the spread of COVID-19 across regions.

Researchers use machine learning to improve detection of internal solitary waves in ocean data.

A new framework enhances hypothesis testing in additive regression models.

A look at key data pipeline tools and their roles in data engineering.

A new approach enhances MCMC sampling efficiency using Riemannian geometry.

This article discusses innovative methods for better statistical analysis of grouped data.

Learn how data augmentation algorithms improve data analysis and model building.

A new method combines divide-and-conquer MCMC with diffusion models for better sampling.

This article discusses methods to sample from complex high-dimensional data more effectively.

A novel approach to understanding stock interactions during market changes.

A method to enhance model accuracy by accounting for uncertainty in variables.

This research discusses federated learning's role in protecting privacy during data analysis.

New methods for statistical testing while protecting data privacy through federated learning.

New approaches enhance control strategies for complex, nonlinear systems using random features.

This article examines how Transformers reason and the role of scratchpads.

Introducing a model for analyzing complex Markov jump processes with noisy data.

Data-driven techniques must protect privacy while identifying the best options.

This research improves machine learning model reliability via calibration and recalibration techniques.

A study on reducing counterfactual harm in decision-making tools.

AI is improving treatment choices in clinical settings using RCT data.

A new method makes causal relationship analysis more efficient and manageable.

A guide to using permutation tests for statistical analysis in regression models.

Learn how boosted conformal prediction enhances understanding of uncertainty in models.

Learn how merging data types enhances research accuracy across various fields.

New approaches propose better handling of ties in rankings across various fields.

New techniques improve the analysis of genetic effects across multiple conditions.

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 method for detailed signal analysis over time and frequency.

New methods enhance understanding of the universe through weak gravitational lensing data.

This research discusses federated learning's role in protecting privacy during data analysis.

New methods for statistical testing while protecting data privacy through federated learning.

Data-driven techniques must protect privacy while identifying the best options.

A look into binary graphical models and their applications in neuroscience.

Learn how merging data types enhances research accuracy across various fields.

An overview of probabilistic graphical models and their applications in various fields.

New algorithms enhance sampling from known and unknown distributions for practical applications.

This article discusses innovative methods for better statistical analysis of grouped data.