In the psychological network approach, mental disorders such as major depressive disorder
are conceptualized as networks. The network approach focuses on the symptom structure or …

Researchers have long called for greater recognition and use of longitudinal, individual-
level research in the study of psychopathology and psychotherapy. Much of our current …

In recent years, network approaches to psychopathology have sparked much debate and
have had a significant impact on how mental disorders are perceived in the field of clinical …

Statistical network models describing multivariate dependency structures in psychological
data have gained increasing popularity. Such comparably novel statistical techniques …

We present the R package mgm for the estimation of k-order mixed graphical models
(MGMs) and mixed vector autoregressive (mVAR) models in high-dimensional data. These …

Background Comorbidity between depressive and anxiety disorders is common. A
hypothesis of the network perspective on psychopathology is that comorbidity arises due to …

The network theory of psychopathology proposes that mental disorders arise from direct
interactions between symptoms. This theory provides a promising framework to understand …

Objective Network analysis in psychology has ushered in a potentially revolutionary way of
analyzing clinical data. One novel methodology is in the construction of temporal networks …

Time series analysis is increasingly popular across scientific domains. A key concept in time
series analysis is stationarity, the stability of statistical properties of a time series …

Multivariate time series (MTS) forecasting is an urgent problem for numerous valuable
applications. At present, attention-based methods can relieve recurrent neural networks' …