Results 71 to 80 of about 655 (188)

Sample size determination for hypothesis testing on the intraclass correlation coefficient in a two‐way analysis of variance model

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability evaluation is critical in fields such as psychology and medicine to ensure accurate diagnosis and effective treatment management. When participants are evaluated by the same raters, a two‐way ANOVA model is suitable to model the data, with the intraclass correlation coefficient (ICC) serving as the reliability metric.
Dipro Mondal, Alberto Cassese, Math J. J. M. Candel, Sophie Vanbelle   +3 more
wiley   +1 more source

Illustrating Implications of Misaligned Causal Questions and Statistics in Settings With Competing Events and Interest in Treatment Mechanisms. [PDF]

Stat Med
Kawahara T, McGrath S, Young JG.
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

Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. [PDF]

Mach Learn Sci Technol
Papillon M, Sanborn S, Mathe J, Cornelis L, Bertics A, Buracas D, J Lillemark H, Shewmake C, Dinc F, Pennec X, Miolane N.   +10 more
europepmc   +1 more source

Edge‐preserving noise for diffusion models

Computer Graphics Forum, EarlyView.
Abstract Classical diffusion models typically rely on isotropic Gaussian noise, treating all regions uniformly and overlooking structural information important for high‐quality generation. We introduce an edge‐preserving diffusion process that generalizes isotropic models via a hybrid noise scheme with an edge‐aware scheduler that smoothly transitions ...
Jente Vandersanden, Sascha Holl, Xingchang Huang, Gurprit Singh   +3 more
wiley   +1 more source

An Introduction to Predictive Processing Models of Perception and Decision‐Making

Topics in Cognitive Science, EarlyView., 2023
Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley   +1 more source

Allelic association analyses: estimation recommendations. [PDF]

Genetics
Weir BS, Goudet J.
europepmc   +1 more source

Lodestar: An Integrated Embedded Real-Time Control Engine. [PDF]

Control Technol Appl, 2023
El-Kebir H, Bentsman J, Ornik M.
europepmc   +1 more source

Register‐Efficient Linear‐Time Evaluation in the Bernstein Basis

Computer Graphics Forum, EarlyView.
Abstract We investigate the evaluation of points and derivatives of Bézier curves and surfaces on modern architectures, focusing on performance and guided by numerical error bounds. While the de Casteljau algorithm remains the reference for numerical robustness, its linear working‐set size imposes substantial register pressure on GPUs.
Gábor Valasek, Anna Lili Horváth
wiley   +1 more source

Formalising privacy regulations with bigraphs. [PDF]

Softw Syst Model
Althubiti E, Archibald B, Sevegnani M.
europepmc   +1 more source