Statistics

Explore the benefits and applications of functional time series analysis.

How electricity prices impacted electric vehicle purchases in Norway during 2021 and 2022.

A study of forest biomass changes from 1990 to 2019 in New York.

This study reveals how socio-demographics impact regional relationships beyond geography.

New framework reduces uncertainties in climate predictions by analyzing aerosol effects.

Team Jumbo-Visma revolutionizes energy predictions for riders using data models.

Researchers introduce a method to analyze treatment timing impacts on hospital visits.

A method for analyzing multidimensional poverty at the local level.

New methods enhance data gathering efficiency and insight accuracy.

A clear look at how principal stratification reveals treatment effects in research.

A clear overview of crossover designs and their significance in research.

New framework reduces uncertainties in climate predictions by analyzing aerosol effects.

A look at the benefits of VC-wTGS for complex data analysis.

Introducing the PX-ECME algorithm for improved logistic regression performance.

An exploration of the Metropolis-Adjusted Langevin Algorithm's performance in sampling.

A comparison of HMC and MALA for efficient sampling from complex distributions.

A method to enhance simulations in lattice quantum field theories using local-Autoregressive Conditional Normalizing Flow.

Introducing a method to utilize unlabelled data in Bayesian Neural Networks for better predictions.

A look into how linear systems react over time under random influences.

Strategies to protect user privacy while optimizing communication in data analytics.

A look into mixed regression models for estimating complex data relationships.

MethaneMapper improves detection of methane emissions using advanced deep learning techniques.

Enhancing Gaussian processes through innovative self-distillation techniques.

An overview of neural networks, their structure, and how they learn from data.

Explore the benefits and applications of functional time series analysis.

A new method aims to improve treatment effect estimates using combined data sources.

A clear look at how principal stratification reveals treatment effects in research.

This study reveals how socio-demographics impact regional relationships beyond geography.

N-mixture models enhance estimates of animal populations by addressing detection errors.

New framework reduces uncertainties in climate predictions by analyzing aerosol effects.

Researchers introduce innovative ways to analyze income inequality using generalized Lorenz curves.

Researchers introduce a method to analyze treatment timing impacts on hospital visits.

Methods to accurately calculate averages and variances despite missing data points.

A method for predicting specific outcomes using relevant past data.

A new framework for better statistical inference in research and analysis.

A fresh approach improves signal detection in noisy environments with limited data.

This article discusses a method to improve dolphin population estimates using advanced techniques.

Explore a new method for analyzing treatment effects over time.

Researchers combine data and strategies for better NBA predictions.

Analyzing the accuracy of health data during the COVID-19 pandemic.

A look into how linear systems react over time under random influences.

A new method aims to improve treatment effect estimates using combined data sources.

A look into mixed regression models for estimating complex data relationships.

Researchers introduce innovative ways to analyze income inequality using generalized Lorenz curves.

A look into the importance and challenges of ECMWF reanalysis data.

New methods enhance confidence intervals for the generalized Lorenz curve.

Examining linear regression methods amid high-dimensional data and correlated noise.

Methods to accurately calculate averages and variances despite missing data points.