The Analysis of Time Series : An Introduction, Sixth Edition

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Hydrological modelling of the Chaohe Basin in China: Statistical model formulation and Bayesian inference (2007, background): “The assumption here is that the random disturbances, sometimes called innovations (Chatfield, 2003),”
Bridge Centrality: A Network Approach to Understanding Comorbidity (2019, background): “In VAR models a network is constructed for a single individual over time where each variable is modeled as a linear function of all variables at previous time points, with edges representing regression coefficients (Chatfield, 2003).”
Ensembles for Time Series Forecasting (2014, methodology): “This is the approach used on most approaches to time series forecasting, like for instance the well-known ARIMA models (e.g. Chatfield (2013)).”
Predicting the popularity of web 2.0 items based on user comments (2014, methodology): “We ﬁrst calculate raw counts per time point, then measure the similarity between the comment history and view history using the correlation [5]: where x 1 , ..., x n and y 1 , ..., y n denote the comment series and the view series, x and y denote the mean of the two series, respectively.”