In recent years, network analysis has been applied to identify and analyse patterns of
statistical association in multivariate psychological data. In these approaches, network …

Bayesian statistics is an approach to data analysis based on Bayes' theorem, where
available knowledge about parameters in a statistical model is updated with the information …

Technological advances have led to an increase in intensive longitudinal data and the
statistical literature on modeling such data is rapidly expanding, as are software capabilities …

The personalized approach to psychopathology conceptualizes mental disorder as a
complex system of contextualized dynamic processes that is nontrivially specific to each …

We discuss the Gaussian graphical model (GGM; an undirected network of partial
correlation coefficients) and detail its utility as an exploratory data analysis tool. The GGM …

Advances in methods for longitudinal data collection and analysis have prompted a surge of
research on psychological processes. However, decisions about how to time assessments …

There has been a strong increase in the number of studies based on intensive longitudinal
data, such as those obtained with experience sampling and daily diaries. These data …

Highlights•Reviews literature on emotion dynamics, the patterns of emotion change over
time.•Proposes a set of basic principles involved in emotion dynamics.•Special attention …

Background Enhancements in mobile phone technology allow the study of children and
adolescents' everyday lives like never before. Ecological momentary assessment (EMA) …

Networks have been recently proposed for modeling dynamics in several kinds of
psychological phenomena, such as personality and psychopathology. In this work, we …