Latest Articles for Statistical Analysis

This study introduces constrained margins for better generalization predictions in DNNs.

A fresh approach to handling incomplete data in health and engineering studies.

Exploring the significance of central values in L-functions and their relation to prime numbers.

Innovative methods enhance planning for cluster randomised trials.

A look at periodic autoregressive models and their applications in noisy data.

A new perspective on how context affects measurement outcomes using bundles.

This article discusses a new framework for efficient parameter estimation using transport maps.

A look at using spectral methods for better parameter estimation in structured data.

A look into how Kemeny rankings combine preferences efficiently.

A method to study how animals choose their paths and habitats.

A novel technique enhances safety checks in random systems like robots and vehicles.

Introducing a framework for sensitivity analysis in studies with multiple treatment levels.

Learn how SBBD improves estimation in complete bipartite graphs.

A method to find hidden structures in permutation groups using invariant functions.

This article presents a method to assess treatment effects, considering participant interactions.

A guide to applying Optimal Scaling with GLMs for complex data analysis.

Distribution shifts impact the ability to replicate study results across different populations.

Exploring how randomness can influence success in quantum games and tasks.

This work discusses synthetic data generation using differential privacy for economic studies.

A new framework ensures synthetic data answers are trustworthy for research.

Learn about important techniques to verify quantum computation results.

A fresh approach to assess drought impacts on rice farming in Sri Lanka.

New methods improve efficiency in complex physics simulations and modeling.

Exploring how noise influences oscillator networks and their behavior under disturbances.

Statistical matching helps compare groups in treatment studies effectively.

A study comparing generative models and traditional methods in data sampling.

This article presents a framework for improved sensitivity analysis of linear estimands.

Research from the MMS mission reveals key insights into magnetic fluctuations.

This study improves convergence rates in Selberg's CLT by assuming the Riemann hypothesis.

Study reveals how visuals impact data comparison accuracy.

Exploring the significance of Brownian motion in various fields, especially finance.

DenMune effectively identifies complex clusters while simplifying user experience.

New insights into cellular interactions reveal changes during colorectal cancer.

A new method enhances participant allocation in experiments based on early data.

This article questions the validity of total-effect tests in mediation analysis.

This article presents new findings in equivalence testing using conditional sampling.

This article examines how mutations affect tumor growth and behavior.

Exploring how student enrollment affects educational comparisons across countries.

A method for unbiased estimation of parameters in partially observed diffusion processes.

A method for classifying irreducible projective varieties without toric structures.