Statistics

This study evaluates language models for quick power outage detection via social media.

This study combines random and opportunistic sampling for better species distribution predictions.

Transforming raw metrics into scores for better understanding in organizations.

Analysis reveals irregularities in Turkey's presidential election, highlighting concerns of fairness.

A look at how excess mortality reveals the pandemic's true toll.

Methods to manage covariates in experiments for reliable results.

Exploring chaos in systems through stickiness and its implications.

This article presents a method for accurate mortality forecasting across multiple populations.

Discover the potential of the generalized Gamma distribution and the SeLF algorithm.

A new framework enhances sampling efficiency in complex probability distributions.

A study of arrivals through point processes and their connection to continuous processes.

New approach improves stance detection accuracy across diverse topics.

Exploring the impact and methods of mortality data analysis.

This article simplifies Fisher Geometry and its importance for understanding statistical relationships.

A new method improves how we cluster data with numbers and categories.

A new method enhances efficiency in analyzing latent Gaussian models.

A novel approach combines NMF and SDP for effective clustering.

Examining multinomial logistic regression's performance in high-dimensional settings and feature significance.

Explore how noise influences recurrent neural networks and sample complexity.

A tool designed to enhance the understanding of geometric data across various fields.

A look at conformal prediction to improve AI reliability.

How Gram matrices and normalization layers enhance neural network learning.

Learn how QTD enhances value estimation in uncertain environments.

This article explores advanced methods in constrained optimization using adaptive techniques.

A flexible framework for sensitivity analysis in observational studies.

Researchers enhance experiment design using reinforcement learning and new estimation techniques.

A new method improves accuracy in estimating monotonic functions through information sharing.

Examining multinomial logistic regression's performance in high-dimensional settings and feature significance.

New methods in machine learning improve understanding of breast cancer survival.

A new model improves the analysis of spatial data relationships.

This article presents an innovative method for estimating factors in complex data.

Discover the potential of the generalized Gamma distribution and the SeLF algorithm.

A new method improves how we cluster data with numbers and categories.

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 fresh approach to analyze data using GLMs in complex scenarios.

Examining multinomial logistic regression's performance in high-dimensional settings and feature significance.

Improving decision-making through efficient human feedback collection in RL.

A new method to evaluate uniform distribution in data samples.

Research reveals the complexity of interactions in microbial communities.

A new framework improves AI's ability to handle uncertainty in predictions.

This paper examines effective methods for evaluating strategies using Markov decision processes.

A deep dive into GWIGF and RIGF applications and properties.