Statistics

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.

Research reveals complex relationships in language evolution through updated models and methods.

Exploring new methods to enhance understanding of random variables and their applications.

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.

A new method enhances state estimation with efficient updates over time.

Explore how quantile coherence aids in understanding financial time series interactions.

A new method enhances labeling accuracy for social science studies using LLMs.

SiBBlInGS offers a method for breaking down complex time series data.

Using machine learning to classify Kronecker coefficients as zero or non-zero.

New cWGAN model enhances solutions for complex inverse problems.

This article explores how different models learn features from data using the interaction tensor.

Effective evaluation methods for generative models enhance understanding and performance.

Efficient methods for analyzing complex dynamical systems using Koopman operators.

New method enhances image translation speed and quality using asymmetric gradient guidance.

A new method enhances labeling accuracy for social science studies using LLMs.

New methods improve accuracy in estimating poverty at local levels.

CSSLR enhances logistic regression model selection, improving reliability and transparency.

How delays impact the efficiency of adaptive trial designs.

A new method improves Bayesian analysis through effective data transformations.

A method to improve estimates where data is missing due to self-censoring.

New approaches improve accuracy in analyzing sequentially gathered data.

A study on estimating and testing monotonic density functions using Bayesian approaches.

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.

New methods boost prediction accuracy using covariance functions.

A look at the effectiveness and limitations of debiased shrinkage estimators.

This study investigates how negative feedback can enhance graph traversal efficiency.

A new method improves Bayesian analysis through effective data transformations.

New approaches improve accuracy in analyzing sequentially gathered data.

A study on estimating and testing monotonic density functions using Bayesian approaches.

A look at how Bayesian methods improve density estimation under shape restrictions.

New techniques enhance subject clustering in complex datasets.