A guide on clustering binned data using Bayesian nonparametric methods.
― 6 min read
Statistics - Statistics Theory
RSSThis article discusses enhancing unsupervised anomaly detection using classification methods.
― 6 min read
This study examines transportation costs involving random points and advanced mathematical techniques.
― 4 min read
A method for estimating medians in real-time data with minimal resources.
― 5 min read
Learn to analyze irregular time series data for better predictions and insights.
― 4 min read
A look at how differential privacy safeguards individual data in a data-driven world.
― 6 min read
This study enhances the Ensemble Kalman Filter for nonlinear applications.
― 7 min read
A new approach to accurately match records in error-prone datasets.
― 5 min read
A new method for measuring inequality across multiple factors offers deeper insights.
― 6 min read
A new method enhances marginal likelihood calculations in Bayesian statistics.
― 5 min read
A look at the Ornstein-Uhlenbeck process and its real-world applications.
― 4 min read
Learn how conformal inference adapts predictions based on data variations.
― 5 min read
A fresh approach to evaluating the impact of varying treatment amounts on outcomes.
― 6 min read
Learn how neural networks mimic programming concepts for effective predictions.
― 6 min read
Examining how high-dimensional spaces affect light blockage and data behavior.
― 6 min read
New methods enhance reliability in estimating average treatment effects.
― 5 min read
A two-stage method for accurate treatment effect estimation when participants don’t comply.
― 6 min read
A new method improves estimation of population characteristics using mixed sampling data.
― 5 min read
A new method optimizes deep learning training for better performance on unseen data.
― 5 min read
This paper presents a graph-based method for comparing two data distributions.
― 6 min read
A method to identify data changes across sensors with minimal false alarms.
― 5 min read
A look into how transport coefficients reveal system behavior under changing conditions.
― 6 min read
A look into Bayesian modeling for time series data with correlated errors.
― 5 min read
Combining parametric and nonparametric methods for better data analysis.
― 6 min read
Examining the impact of Sequential Monte Carlo on districting fairness and reliability.
― 7 min read
Techniques for reducing noise improve imaging quality across various fields.
― 5 min read
A novel approach to analyze heavy-tailed data using robust max statistics.
― 5 min read
This paper examines methods to compare generative models through embedding-based representations.
― 6 min read
Learn about the KS test, its types, and implications for data analysis.
― 5 min read
An overview of maximum likelihood estimators for log-concave densities and their properties.
― 4 min read
This article discusses methods for learning unnormalized distributions using noise-contrastive estimation.
― 5 min read
A look at improved clustering methods and their practical applications.
― 6 min read
Learn how to identify significant shifts in time series data effectively.
― 5 min read
A look into Lévy processes and jump density estimation methods.
― 6 min read
A look at how variance estimation affects treatment effectiveness in experiments.
― 6 min read
A look into extreme events and how to prepare for them.
― 5 min read
A look at goodness-of-fit testing in data spread across multiple servers.
― 6 min read
Scientists find connections between genes and cancer using new methods.
― 5 min read
Examining the importance of accurate models in educational assessments.
― 6 min read
A new model addresses the challenge of uncertain event timing in various fields.
― 5 min read