Maximum Working Likelihood Inference with Markov Chain Monte Carlo
, 2007 this paper, we describe a method for obtaining frequency based maximum working likelihood (MWL) inference in the presence of missing data which does not require integration of the conditional likelihood.
Daode Huang +3 more
core
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 +7 more
wiley +1 more source
Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms
, 2004 Bayesian learning in undirected graphical models—computing posterior distributions over parameters and predictive quantities—is exceptionally difficult.
Murray, Iain +2 more
core
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 +2 more
wiley +1 more source
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
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 +2 more
wiley +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 +4 more
wiley +1 more source
Bayesian design and analysis of two-arm cluster randomised trials using assurance: Extension to binary outcomes and comparison of Markov chain Monte Carlo and Integrated Nested Laplace Approximations. [PDF]
Clin TrialsAloufi A +4 more
europepmc +1 more source
Power priors for latent variable mediation models under small sample sizes
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Latent variable models typically require large sample sizes for acceptable efficiency and reliable convergence. Appropriate informative priors are often required for gainfully employing Bayesian analysis with small samples. Power priors are informative priors built on historical data, weighted to account for non‐exchangeability with the ...
Lihan Chen +2 more
wiley +1 more source
Operational Markov matrix formulation for structures in continuum plasma models. [PDF]
Sci RepPanday N, Sharma D.
europepmc +1 more source