Latest Articles for Statistical Methods

Addressing data contamination in prediction with advanced conformal methods.

Monitoring wastewater helps track diseases and informs public health decisions.

A new method enhances the analysis of hyperparameter optimization results.

This article discusses methods to tackle bias in research outcomes.

A new method enhances the accuracy of physical activity measurements.

A new framework for evaluating hierarchical forecasting model performance under varied conditions.

A look at the methods for studying changing processes across various fields.

Nii-C improves Bayesian data analysis through efficient sampling techniques.

Explore the four-step Bayesian workflow for improved ecological modeling.

A tool for accurate sample size calculations in clinical trials considering noncompliance.

A study introduces a method to estimate disease spread for better public health responses.

Learn how Gaussian Processes improve predictions and manage uncertainty in data analysis.

A new method improves data processing in particle physics by focusing on moments.

This article discusses how to approach treatment effects despite participant non-compliance.

New methods improve estimates of treatment effects in clinical trial subgroups.

Explore various methods for identifying anomalies across different fields.

A look into the latest techniques for classifying data with unknown labels.

This research analyzes the Hulth en potential using ordinary and superstatistical methods.

A novel approach simplifies parameter estimation in models lacking clear likelihood functions.

Explore the impact of historical control data in toxicology studies.

Research shows generative models improve self-supervised learning in time series classification.

An overview of issues in crossover designs and data analysis in software engineering studies.

Characteristic Interventional Sum-Product Networks improve causal inference in mixed data.

A new method for analyzing survival data using functional approaches.

A look into the significance and statistical behavior of graph cuts.

Exploring LASSO for effective model selection in network data analysis.

New sampling methods aim to enhance accuracy and fairness in data collection processes.

This article discusses the importance of replicability in clinical trials using adaptive algorithms.

A new method streamlines parameter estimation in stochastic volatility models.

A novel method improves subset sampling accuracy in machine learning models.

Exploring methods for parameter learning in AI using Probabilistic Answer Set Programming.

A look at estimating conduct parameters for market behavior analysis.

A new method enhances signal processing by addressing noise in complex datasets.

A new method enhances skill estimation for decision-making and execution.

A new method improves balance and reliability in randomized controlled trials.

Learn about sampling methods to study large networks effectively.

A novel method enhances learning causal relationships despite hidden confounders.

A method to speed up Bayesian inference in huge datasets using subsampling.

A summary of ROC analysis and its role in assessing diagnostic tests.

A new method improves confidence in machine learning predictions.