Statistics

An overview of methods to estimate hidden populations, focusing on model selection and bootstrapping.

Learn the steps of Bayesian analysis using Pumas for pharmacometric modeling.

Machine learning is transforming how economists analyze complex data and improve predictions.

Simple methods often outperform complex algorithms in time-series analysis.

Examine the main factors that contribute to alien species invasions.

Exploring the advantages of further education for adults over 25.

A fresh approach uncovers individual variations in program treatment effects.

A new approach enhances understanding of feature importance in AI models.

Microcanonical Langevin Monte Carlo improves sampling efficiency in complex systems.

Learn the steps of Bayesian analysis using Pumas for pharmacometric modeling.

Discover the benefits of using ChatGPT in programming tasks.

New methods enhance data gathering efficiency and insight accuracy.

A clear look at how principal stratification reveals treatment effects in research.

A clear overview of crossover designs and their significance in research.

New framework reduces uncertainties in climate predictions by analyzing aerosol effects.

A look at the benefits of VC-wTGS for complex data analysis.

Microcanonical Langevin Monte Carlo improves sampling efficiency in complex systems.

This article examines the challenges of ICA and explores methods for improvement.

A look into constrained optimization and its real-world applications.

DistilBERT provides a lighter, faster alternative for Italian language processing tasks.

Examining Differentially Private Stochastic Convex Optimization across diverse settings.

This article discusses per-example gradient regularization in deep learning for better model performance.

Simple methods often outperform complex algorithms in time-series analysis.

A framework for analyzing learned representations without labeled examples.

An overview of methods to estimate hidden populations, focusing on model selection and bootstrapping.

This article examines the challenges of ICA and explores methods for improvement.

A new approach enhances detection of causal relationships in time series data.

Simple methods often outperform complex algorithms in time-series analysis.

A novel approach enhances understanding of systems with limited observations.

Understanding complex interactions in datasets using tensor methods.

Researchers refine similarity indices to better understand ecological relationships.

Combining machine learning and matching methods for clearer treatment effect analysis.

A fresh approach uncovers individual variations in program treatment effects.

Methods to accurately calculate averages and variances despite missing data points.

A method for predicting specific outcomes using relevant past data.

A new framework for better statistical inference in research and analysis.

A fresh approach improves signal detection in noisy environments with limited data.

This article discusses a method to improve dolphin population estimates using advanced techniques.

Explore a new method for analyzing treatment effects over time.

Researchers combine data and strategies for better NBA predictions.

This study examines failure data using innovative statistical methods.

This article examines the challenges of ICA and explores methods for improvement.

A method for improved confidence intervals in monotone regression using SLSE.

Understanding complex interactions in datasets using tensor methods.

Learn how to evaluate parameter identifiability using a Bayesian approach.

An overview of techniques for filling missing values in long matrices.

A look into how linear systems react over time under random influences.

A new method aims to improve treatment effect estimates using combined data sources.