Statistics

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.

Improving wind speed forecasts can enhance safety during severe weather events.

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 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.

TimeInf enhances understanding of time series data contributions for better modeling.

A novel approach enhances speed and accuracy in recommendation systems.

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.

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.

A detailed approach to estimating hyperuniformity in various natural systems.

A new approach to compare conditional distributions using ECMMD in statistics.