British Journal of Mathematical and Statistical Psychology, EarlyView.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
Simulation-based assessment of a Bayesian M-spline survival model with flexible baseline hazard and time-dependent effects. [PDF]
BMC Med Res MethodolTimmins IR +4 more
europepmc +1 more source
LLM‐based prior elicitation for Bayesian graphical modeling
British Journal of Mathematical and Statistical Psychology, EarlyView.ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski +2 more
wiley +1 more source
Computational protocol for hierarchical Bayesian modeling of perception and generalization in fear conditioning. [PDF]
STAR ProtocYu K +3 more
europepmc +1 more source
To vary or not to vary: A flexible empirical Bayes factor for testing variance components
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley +1 more source
A Survey of Methods for Constructing 3D Urban Models From Point Clouds
Computer Graphics Forum, EarlyView.The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo +5 more
wiley +1 more source
Navigating the mysterious space of evolutionary histories. [PDF]
Proc Natl Acad Sci U S ADrummond AJ, Popinga A.
europepmc +1 more source
A link between increased temperature and avian body condition in a logged tropical forest
Conservation Biology, EarlyView.Abstract The combined effects of anthropogenic disturbances, such as logging and climate change, remain poorly understood; yet, they are the main threats to tropical biodiversity. Most tropical African countries lack long‐term climate data, so climate impacts on biodiversity cannot be assessed.
Moreen Uwimbabazi +7 more
wiley +1 more source
How to apply Bayesian stochastic search variable selection with multiply imputed data. [PDF]
Psychol MethodsBainter SA, Mao Z, Rao JS.
europepmc +1 more source
Applications of MCMC methods on function spaces [PDF]
In the course of this thesis, several different applications of data assimilation will\ud be looked at. In each case, a rigorous mathematical framework will be constructed,\ud in a Bayesian context, to enable the use of various types of data to infer on various\ud infinite dimensional parameters of the system that has been observed.
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