Abstract Background Research based on embodied cognition has demonstrated that physical posture, particularly an upright seated posture, can influence emotions and cognition. However, although students spend most of the day sitting in classrooms, intervention research on upright seated postures suitable for learning environments is limited.
Yusuke Murakami +2 more
wiley +1 more source
Beyond the States: Developing a Discrete Event Simulation Model Using R. [PDF]
Lin Z, Briggs A.
europepmc +1 more source
A tutorial on Bayesian model averaging for exponential random graph models
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
Double event-triggered fault tolerant consensus of nonlinear heterogeneous multiagent systems under inconsistent Markov. [PDF]
Hu D, Ma J, Zang S.
europepmc +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
Information Content and Maximum Entropy of Compartmental Systems in Equilibrium. [PDF]
Metzler H, Sierra CA.
europepmc +1 more source
Idiographic interrater reliability measures for intensive longitudinal multirater data
Abstract Interrater reliability plays a crucial role in various areas of psychology. In this article, we propose a multilevel latent time series model for intensive longitudinal data with structurally different raters (e.g., self‐reports and partner reports).
Tobias Koch +4 more
wiley +1 more source
Causal dynamic decision-making for robotic systems in non-Markovian high-difficulty surgery. [PDF]
Na G +7 more
europepmc +1 more source
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley +1 more source
Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams. [PDF]
Morsomme R +6 more
europepmc +1 more source

