Results 121 to 130 of about 83,569 (221)

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, Milica Miočević, Carl F. Falk   +2 more
wiley   +1 more source

Learning Covariate Relations in Disease Progression Models Using Symbolic Neural Networks. [PDF]

CPT Pharmacometrics Syst Pharmacol
Sundell J, Wahlquist Y, Kjellsson MC, Karlsson MO, Soltesz K.   +4 more
europepmc   +1 more source

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

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

Latent classification of time-dependent transition rates in longitudinal binary outcome data. [PDF]

Stat Methods Med Res
Chang J, Chan W.
europepmc   +1 more source

Latent Poisson count models for action count data from technology‐enhanced assessments

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Recent advances in computerized assessments have enabled the use of innovative item formats (e.g., drag‐and‐drop, scenario‐based), necessitating a flexible model that can capture systematic influence of item types on action counts. In this study, we present a refinement scheme that can explicitly model common features of items and allows ...
Gregory Arbet, Hyeon‐Ah Kang
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

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, Meike Waaijers, Giuseppe Arena   +2 more
wiley   +1 more source

Discrete-time neural Markov models. [PDF]

BMC Med Res Methodol
Sundell J, Wahlquist Y, Soltesz K.
europepmc   +1 more source

PBR‐Inspired Controllable Diffusion for Image Generation

Computer Graphics Forum, EarlyView.
Abstract Despite recent advances in text‐to‐image generation, controlling geometric layout and PBR material properties in synthesized scenes remains challenging. We present a pipeline that first produces a G‐buffer (albedo, normals, depth, roughness, shading, and metallic) from a text prompt and then renders a final image through a PBR‐inspired branch ...
Bowen Xue, Giuseppe Claudio Guarnera, Shuang Zhao, Zahra Montazeri   +3 more
wiley   +1 more source

Coclique level structure for stochastic chemical reaction networks. [PDF]

J Math Biol
Bruno S, Fu Y, Campos FA, Del Vecchio D, Williams RJ.   +4 more
europepmc   +1 more source