Proceedings of the International Conference on Statistics

Aims & Scope✦ Inferred from recent articles

This journal focuses on statistical modeling and analysis across various domains. Recent articles explore methods for analyzing communication networks, developing regression techniques for survival data, and applying graph learning for data-efficient analysis. Other topics include advanced analytics for biomedical data, spatio-temporal modeling for disease monitoring, calibration of low-cost sensor data for air quality assessment, and deconvolution techniques for noisy data. The journal also covers environmental health analysis using Bayesian networks, linear prediction for random fields, time series analysis for binomial data, forecasting electricity consumption, and advancements in regression methodologies like ridge and lasso. Additionally, it features research on statistical emulators for complex systems, modeling work absence and limitations, profile monitoring for quality control, circular data analysis, and the application of speech analytics for survey data.

AI-summarised from recent articles · verify on the publisher page

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Note: citations accumulate over time so older years appear higher

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification