We describe a Bayesian hierarchical model to analyze autoregressive time series panel data. We develop two algorithms using Markov-chain Monte Carlo methods, a restricted algorithm that enforces ...

Getting started series: Stata Finding Data (and crafting research questions) Stata tutorial Fixed/random effects (Panel data) Data Preparation & Descriptive Statistics Linear Regression (Stata) Logit ...

Time series graphs are intuitive, helping you relate a metric to time. Marketing analysts are often faced with choosing a data visualization that speaks to managers and colleagues interested in ...

Unlike in image processing or large language models, few AI startups are focused on sequential data processing, which includes video processing and time-series analysis. BrainChip is just fine ...

This article examines quantitative panel analysis techniques appropriate for situations in which the researcher models determinants of change in continuous outcomes. One set of techniques, based on ...

As solar projects become more complex, Typical Meteorological Year data is holding the industry back, according to Solargis' Marcel Suri.