Statistics

A new model addresses challenges in ranking with changing data.

This article presents a method using available data to estimate recovery and death rates.

Examining how added variables influence statistical significance in research findings.

Semi-Markov models improve understanding of cancer latency and overdiagnosis risks.

A new method for studying document connections in citation networks.

A new method reveals how marketing actions affect campaign results over time.

A new method for detecting abnormalities in brain injuries shows promising results.

A guide to methods for estimating asymptotic covariance in MCMC simulations.

Semi-Markov models improve understanding of cancer latency and overdiagnosis risks.

A guide to methods for estimating asymptotic covariance in MCMC simulations.

Introducing improved techniques for analyzing MCMC sample reliability.

A new tool for studying events over space and time.

Learn how Langevin dynamics improves parameter estimation over traditional methods.

A method for better decision-making under uncertainty using innovative computational techniques.

Research on HPV's impact and vaccine strategies to reduce cervical cancer.

Discover a new tool for efficient survival analysis in medical research.

This article presents a novel approach to kernel quantile regression using random features.

A new method enhances model performance while ensuring privacy in deep learning.

Neural Spacetimes offer innovative representations for analyzing directed graphs in various fields.

This research enhances prediction reliability in GNNs through integrated uncertainty quantification.

A new method for estimating true distributions from noisy streaming data.

Meta Flow Matching enhances our understanding of cell behavior and treatment responses.

Algorithms confront bias and delays in user preference feedback.

A look at effective sampling methods for wide Bayesian Neural Networks.

A new model addresses challenges in ranking with changing data.

Causal machine learning provides insights for better decision-making in supply chain risks.

New algorithms help protect participant data while estimating treatment effects.

Examining how starting and stopping treatments affect healthcare outcomes.

Semi-Markov models improve understanding of cancer latency and overdiagnosis risks.

A new method for studying document connections in citation networks.

A new model enhances the analysis of gene expression in tissues using SRT data.

A new method for estimating true distributions from noisy streaming data.

Examining how scatterers affect wireless signal quality in various environments.

Learn how motion affects wireless communication signals and their reliability.

Discover strategies to improve your odds in Hopscotch and Warships.

New forecasting methods enhance demand prediction accuracy and inventory management.

A guide to efficiently format academic submissions using elsarticle.cls.

A look at the Ornstein-Uhlenbeck process and its real-world applications.

New adaptive detection algorithms improve target identification in complex environments.

A new method improves estimation of population characteristics using mixed sampling data.

A new model addresses challenges in ranking with changing data.

Examining how added variables influence statistical significance in research findings.

A study on using tree structures to enhance topic modeling in text data.

A new approach for handling complex data with statistical analysis.

Exploring the application of Grunbaum's inequality in complex geometric environments.

Research improves data filtering techniques for tracking cell movements.

Learn how transfer learning improves machine learning outcomes with limited data.

Improved methods for assessing Pareto type-I distribution with censored data.