Latest Articles for Statistical Methods

A model that helps analyze multiple outcomes with various predictors.

This article presents a new method for better estimating two-stage models in research.

A look at off-policy evaluation techniques and their relevance in decision-making.

Procoli simplifies the calculation of profile likelihoods in cosmology.

RENT improves model performance by using resampling techniques with noisy labels.

A novel approach enhances selecting DNA sites for predicting health risks.

Innovative approaches tackle challenges in comparing treatment effects over time.

Timing verification is essential for reliable digital circuit design in advancing technology.

This article introduces a new way to analyze economic responses to shocks.

A new approach emphasizes valid approximations over searching for truth in models.

A study on new methods to analyze sea temperature data from 1982 to 2012.

A new mechanism enhances synthetic data generation while protecting individual privacy.

A look at semi-functional partial linear regression and measurement error solutions.

A new method to personalize treatment strategies for chronic diseases over time.

A method to estimate treatment effects when key information is missing.

New methods improve treatment recommendations by considering patient adherence.

TrialEmulation helps researchers analyze treatment effects using observational data.

A new Bayesian framework improves image quality and estimates uncertainty.

Learn how SGD with Clipping enhances gradient estimation in noisy data environments.

A new model enhances risk assessment using multiple measures for accurate predictions.

A fresh approach to improving treatment effect estimation in clinical research.

A look at how longitudinal data reveals trends and insights.

Learn how to improve linear regression by tackling self-selection bias.

Exploring new approaches to improve treatment effect estimation in social science research.

This study examines how ERM can function effectively with smooth data patterns.

This article explains clustering methods for analyzing longitudinal data effectively.

New methods improve sampling from complex distributions using HJB equations and Tensor Train.

This article discusses a new method to enhance probabilistic circuits using soft clustering techniques.

A new method improves parameter estimation from high-resolution data.

Methods for reducing dimensions while preserving data structures.

A method to approximate fairness-accuracy trade-offs for machine learning models.

Research on genetic interactions reveals insights into human traits and disease risk.

Introducing a simpler way to train implicit generative models using Invariant Statistical Loss.

A new method enhances predictions of geomagnetic changes using machine learning.

New shrinkage methods enhance Hessian estimation for machine learning optimization tasks.

DCC-Tree offers a new way to handle uncertainty in decision tree predictions.

A new method improves CATE estimation and enhances decision-making in various fields.

Explore how momentum enhances Stochastic Gradient Descent in machine learning.

A novel analysis method enhances the understanding of chronic diseases and health factors.

A look at methods for estimating precision matrices in the study of the universe.