Results 231 to 240 of about 54,345 (310)

A nonlinear association between chronic stress and instrumental reward learning under Pavlovian conflict: Behavioural and computational evidence

British Journal of Psychology, EarlyView.
Abstract Chronic stress, arising from prolonged exposure to unpredictable challenges, is common in everyday life and may alter cognitive processes. However, few human studies have empirically examined the association between chronic stress and reward learning, which is critical for navigating uncertain environments.
Lu Liu, Yi‐Xu Pang, Zhi‐Yuan Cai, Chang‐Hong Ma, Ying Zhang, Li‐Jing Niu, Yuan‐Wei Yao, Xiao‐Yi Fang   +7 more
wiley   +1 more source

A tutorial on Bayesian model averaging for exponential random graph models

British Journal of Mathematical and Statistical Psychology, EarlyView.
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, Jan‐Willem Simons, Haiyan Liu   +2 more
wiley   +1 more source

Rapid calibration of atrial electrophysiology models using Gaussian process emulators in the ensemble Kalman filter. [PDF]

Sci Rep
Mamajiwala M, Corrado C, Lanyon CW, Niederer SA, Wilkinson RD, Clayton RH.   +5 more
europepmc   +1 more source

Accelerating pseudo-marginal MCMC using Gaussian processes

, 2017
Christopher Drovandi, Matthew T. Moores, Richard J. Boys   +2 more
openalex   +2 more sources

A Bayes factor framework for unified parameter estimation and hypothesis testing

British Journal of Mathematical and Statistical Psychology, EarlyView.
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

Evaluating Intake Estimation Methods for Young Children's Diets. [PDF]

Nutrients
Zhu X, Borger C, DeMatteis J, Sun B.
europepmc   +1 more source

Kinetic Langevin MCMC sampling without gradient Lipschitz continuity - the strongly convex case

Tim R. Johnston, Iosif Lytras, Sotirios Sabanis   +2 more
openalex   +1 more source

Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Q‐matrix of a cognitively diagnostic assessment (CDA), documenting the item‐attribute associations, is a key component of any CDA. However, the true Q‐matrix underlying a CDA is never known and must be estimated—typically by content experts.
Hyunjoo Kim, Hans Friedrich Köhn, Chia‐Yi Chiu   +2 more
wiley   +1 more source

Neural posterior estimation on exponential random graph models: evaluating bias and implementation challenges. [PDF]

Stat Comput
Fan Y, White SR.
europepmc   +1 more source

Idiographic interrater reliability measures for intensive longitudinal multirater data

British Journal of Mathematical and Statistical Psychology, EarlyView.
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, Miriam F. Jaehne, Michaela Riediger, Antje Rauers, Jana Holtmann   +4 more
wiley   +1 more source