Latest Articles for Experimental Design

Exploring methods to handle missing data in cluster-randomized trials effectively.

A look at how margins influence combinatorial optimization problems involving geometry.

This article discusses a method to optimize experimental design using gradient flow techniques.

A method to ensure balanced groups in experiments for fair results.

Examining the reliability and ethics of chronic variable stress in animal research.

Enhancing plasma impedance probes for better accuracy and utility in research.

New methods enhance the design process for DNA and protein sequences.

Convex Hull-aware Active Learning improves material stability assessments effectively.

New upgrades to the ATLAS Inner Tracker aim to improve performance and data collection.

A new method enhances the accuracy of particle collision simulations.

A look into improving vapor-liquid equilibrium modeling through experimental design.

This article examines how Machine Learning estimates treatment effects in ant behavior studies.

New methods improve efficiency and accuracy in medical and technology research.

Understanding treatment impacts while accounting for network interference.

This article addresses the difficulties in evaluating Bayesian Causal Discovery methods.

This article discusses a new framework for kernel testing in complex data analysis.

Researchers study entanglement swapping and its impact on quantum theory.

This study uses models to analyze cell movement in experiments and predict behavior.

Taurus aims to measure the polarization of cosmic microwave background radiation.

Learn how rerandomization and covariate adjustment improve accuracy in experiments.

New framework improves accuracy in Bayesian measurement with limited data.

Microcontrollers simplify timing tasks in physics experiments, offering an accessible alternative to complex systems.

Overview of randomization inference methods and their applications in research.

New method optimizes NMR experiments, improving parameter estimates in complex systems.

A framework for better estimating treatment effects in paired cluster-randomized experiments.

Learn about causal structures and the impact of unmeasurable variables.

SNO+ helps scientists study solar neutrinos from the Sun's core.

Exploring the role of Bayesian optimization in chemical engineering.

MIRRER aims to improve robot evaluation through structured experiments.

Examining Fisher's experiment on tea and milk distinction provides insights into hypothesis testing.

Improving efficiency in x-ray experiments can advance scientific understanding across multiple fields.

A look at how linear regression can help estimate causal effects in research.

Learn how HTS and machine learning shape protein research.

Combining differential equations and data-driven models for better understanding of complex systems.

A study on improving parameter estimation in vapor-liquid equilibrium models.

This research investigates how new features impact user interactions on platforms like WeChat.

Analyzing systematic uncertainties is key to improving particle physics measurements.

Learn how Gaussian processes address prediction uncertainty in machine learning.

Examining a new TPR spectrometer for neutron analysis in fusion reactors.

A look at using Bayesian methods to improve experimental efficiency in various fields.