Statistics

Using machine learning to analyze life events and predict individual outcomes.

A new method improves treatment effectiveness estimates for biomarker-positive patients.

New methods improve accuracy in estimating poverty at local levels.

Exploring new methods for predicting state changes in dynamic environments.

How delays impact the efficiency of adaptive trial designs.

New techniques enhance subject clustering in complex datasets.

Studying the impact of climate on Magnolia Warbler migration timing.

Examining the link between time zones, sunlight exposure, and cancer rates in the U.S.

Learn how sampling techniques shape research and data analysis.

Improving the evaluation of Bayesian models through efficient calibration techniques.

A new method improves Bayesian analysis through effective data transformations.

A new method enhances model accuracy for diblock copolymer patterns using imaging data.

A new method improves factor selection in high-dimensional data.

Examining how UAV position changes affect communication quality and reliability.

A flexible approach to statistical modeling for diverse datasets.

Exploring methods for identifying shifts in time series across various fields.

LibAUC simplifies deep learning for managing X-risks effectively.

Essential instructions for preparing submissions to the ICML Workshop on Computational Biology.

Enhancing naive classifiers to predict positive unlabeled data effectively.

A new method improves training speed and performance of diffusion models.

Utilizing diverse pretrained models for improved generalization in machine learning.

Using machine learning to analyze life events and predict individual outcomes.

A new method could enhance expert predictions by providing limited choices.

A model improves predictions of treatment effects based on existing data.

A new method could enhance expert predictions by providing limited choices.

Advanced methods enhance accuracy in health surveys, particularly for diabetes estimates.

A software package combines short and long-term survival data for better health decisions.

A new method improves treatment effectiveness estimates for biomarker-positive patients.

Learn how sketching algorithms simplify large data set analysis.

This research introduces new methods for predicting future values using NLAR models.

A new method improves speed and accuracy in U-statistics risk control.

A new method for measuring discretization errors using Wishart distribution.

How delays impact the efficiency of adaptive trial designs.

Exploring how biological systems process information through Bayesian inference.

A look at how patents fuel biotech growth in the UK.

Examining Peru's mining industry through data analysis and future forecasts.

A look at Haldane's rule and its impact on making predictions.

An improved model for analyzing connections in bipartite networks.

Combining neural classifiers with Monte Carlo simulation improves data analysis methods.

A study on identifying factors affecting fertility rates across countries.

This study reveals new strategies for minimizing regret in online learning.

New method enhances parameter estimation flexibility in partially linear models.

This research introduces new methods for predicting future values using NLAR models.

A new method improves speed and accuracy in U-statistics risk control.

This paper presents improved techniques for analyzing cointegrated time series relationships.

A new method for measuring discretization errors using Wishart distribution.

A deep dive into optimal transport methods and their applications.

New methods boost prediction accuracy using covariance functions.