Statistics

New methods improve understanding of population dynamics through genetics.

Analyzing social media conversations on technology's impact and public sentiment.

New machine learning techniques aim to improve flood forecasting accuracy.

A fresh approach to improve accuracy in analyzing compositional data with measurement errors.

A fresh method offers better insights into London’s real estate market.

Data Space Inversion improves prediction accuracy for geothermal energy management.

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

A deep learning model forecasts handball match outcomes at the upcoming Olympics.

A method to see similarities and differences in data intuitively.

A new technique simplifies sampling from complex probability distributions in data science and finance.

A new approach to estimate parameters in spatial data while reducing outlier impact.

fStress aids in model fitting by measuring distance and optimizing data analysis.

A modern approach to analyzing complex data through multidimensional scaling.

A look into rapid convergence techniques for the EM algorithm.

This article discusses improving SAA with Multilevel Monte Carlo method to handle bias.

This study highlights the benefits of advanced forecasting techniques for energy management in Puno.

New algorithms improve decision-making by analyzing return distributions in reinforcement learning.

A new model improves traffic predictions following crashes for better management.

New machine learning techniques aim to improve flood forecasting accuracy.

Learn how Thompson Sampling protects privacy while making informed choices.

A look at new metrics and automation in propensity score matching for health research.

A new method enhances recommendation systems by incorporating uncertainty.

A new method for analyzing survival data using functional approaches.

A fresh approach improves accuracy in estimating biological age from DNA methylation.

A look at new metrics and automation in propensity score matching for health research.

A new method for analyzing survival data using functional approaches.

A fresh approach to improve accuracy in analyzing compositional data with measurement errors.

New methods improve variable selection in high-dimensional data analysis.

Exploring LASSO for effective model selection in network data analysis.

A new framework enhances analysis of continuous-discrete state space models using particle-based techniques.

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

Learn how Huber means provide a stable average in data with outliers.

A method for detailed signal analysis over time and frequency.

New methods enhance understanding of the universe through weak gravitational lensing data.

A study on how information travels through social networks with community structures.

Examining how scatterers affect wireless signal quality in various environments.

Learn how motion affects wireless communication signals and their reliability.

Discover strategies to improve your odds in Hopscotch and Warships.

New forecasting methods enhance demand prediction accuracy and inventory management.

A guide to efficiently format academic submissions using elsarticle.cls.

Learn how to estimate functions from data in dynamic systems using various models.

New models improve estimation methods for ordinary differential equations using observational data.

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

A fresh approach improves accuracy in estimating biological age from DNA methylation.

Learn how Huber means provide a stable average in data with outliers.

Learn how time series analysis aids in predicting future trends.

New models enhance video generation by capturing crucial spatial and temporal relationships.

Examining gradient flows and their role in probability density functions and sampling methods.