Results 71 to 80 of about 117,746 (216)
Module control of network analysis in psychopathology [PDF]
arXivThe network approach to characterizing psychopathology departs from traditional latent categorical and dimensional approaches. Causal interplay among symptoms contributed to dynamic psychopathology system. Therefore, analyzing the symptom clusters is critical for understanding mental disorders.
arxiv
AR(1) Latent Class Models for Longitudinal Count Data [PDF]
arXiv, 2015 In a variety of applications involving longitudinal or repeated-measurements data, it is desired to uncover natural groupings or clusters which exist among study subjects. Motivated by the need to recover longitudinal trajectories of conduct problems in the field of developmental psychopathology, we propose a method to address this goal when the data ...
arxiv
Psychopathology and Education of the Brain-Injured Child [PDF]
, 1950 Robert M. Allen
openalex +1 more source
Measuring Mental Health Variables in Computational Research: Toward Validated, Dimensional, and Transdiagnostic Approaches [PDF]
arXivComputational mental health research develops models to predict and understand psychological phenomena, but often relies on inappropriate measures of psychopathology constructs, undermining validity. We identify three key issues: (1) reliance on unvalidated measures (e.g., self-declared diagnosis) over validated ones (e.g., diagnosis by clinician); (2)
arxiv
The Importance of Constraint Smoothness for Parameter Estimation in Computational Cognitive Modeling [PDF]
arXiv, 2018 Psychiatric neuroscience is increasingly aware of the need to define psychopathology in terms of abnormal neural computation. The central tool in this endeavour is the fitting of computational models to behavioural data. The most prominent example of this procedure is fitting reinforcement learning (RL) models to decision-making data collected from ...
arxiv
Emergence of Addictive Behaviors in Reinforcement Learning Agents [PDF]
arXiv, 2018 This paper presents a novel approach to the technical analysis of wireheading in intelligent agents. Inspired by the natural analogues of wireheading and their prevalent manifestations, we propose the modeling of such phenomenon in Reinforcement Learning (RL) agents as psychological disorders.
arxiv
Intervention in undirected Ising graphs and the partition function [PDF]
arXiv, 2019 Undirected graphical models have many applications in such areas as machine learning, image processing, and, recently, psychology. Psychopathology in particular has received a lot of attention, where symptoms of disorders are assumed to influence each other.
arxiv
European Journal of PsychotraumatologyObjective: There is a lack of research on complex post-traumatic stress disorder (CPTSD) in older individuals, with little known about the temporal course of CPTSD.
Milan Rusmir +4 more
doaj +1 more source