Latest Articles for Statistical Analysis

Exploring how noise influences the behavior of complex systems with limit cycles.

Learn how to correct biases in Pool-seq for accurate genetic insights.

A flexible approach to statistical modeling for diverse datasets.

A novel algorithm enhances data recovery from limited observations.

This article assesses the strengths and weaknesses of pharmacometric models in drug trials.

Neural CODE improves time series predictions using past and future data.

Study explores early and late recurrence factors in gastric cancer patients post-surgery.

Shapley Sets provides improved insights into feature interactions in model predictions.

New methods aim to enhance communication in diverse teams by clarifying context.

AdaStop enhances reliability and efficiency in testing Deep RL algorithms.

A guide to effective analysis of stepped wedge designs in public health research.

Examining how sea level changes affect coastlines and ecosystems.

A new framework improves sampling of extreme events using machine learning and traditional methods.

Research explores winding numbers and their statistical behaviors in complex systems.

A fresh approach to estimate treatment effects despite missing data.

NCD helps classify unknown data categories using labeled and unlabeled data.

A look into how SGD efficiently minimizes functions using random sampling.

New findings enhance PAC-Bayes bounds for better algorithm performance evaluation.

A method combining PCA and HMM for predicting stock price movements.

A framework for analyzing climate factors and their relationships.

A look into signal detection techniques in noisy environments.

This article explores early noise effects on population dynamics using a new numerical method.

New methods for analyzing curves enhance statistical comparisons across various fields.

Research explores patterns in complex datasets using statistical physics techniques.

A look into the behavior of subgaussian vectors in Hilbert spaces.

Study reveals how noise affects random quantum circuits and their output distributions.

New methods improve ensemble performance in automated machine learning.

Exploring the Proxy Dynamic Factor Model's impact on understanding monetary policy.

Study reveals how spins behave on specific graph structures over time.

Combining predictors for improved accuracy in various contexts.

Design sensitivity helps improve the reliability of findings in observational studies.

This paper examines sieved random walk polynomials and their applications in mathematics.

A new framework combining static and dynamic models enhances time series analysis.

Research focuses on immune cell behavior to improve ovarian cancer treatment.

A look at how cure rates affect treatment comparisons.

Two methods aim to enhance data labeling for better classification results.

A novel method enhances understanding of probability densities in research.

This article examines how organisms adapt to environmental stress.

A deep dive into the reliability of probabilistic weather forecasts.

A novel method for analyzing brain activity using vector autoregression.