Results 151 to 160 of about 23,325 (286)

Preconditioning Markov Chain Monte Carlo Simulations Using Coarse-Scale Models

SIAM Journal on Scientific Computing, 2006
Y. Efendiev, T. Hou, Wuan Luo
semanticscholar   +1 more source

Linking brain and behavior states in Zebrafish Larvae locomotion using hidden Markov models. [PDF]

PLoS Comput Biol
Dommanget-Kott M, Fernandez-de-Cossio-Diaz J, Coraggioso M, Bormuth V, Monasson R, Debrégeas G, Cocco S.   +6 more
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

Energy transfer leaves fingerprints in cyanine photoswitching behavior. [PDF]

PLoS Comput Biol
Ebert V, Sauer M, Doose S.
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

Rethink context engineering using an attention-based architecture. [PDF]

Sci Rep
Yin Y.
europepmc   +1 more source

Approximating multidimensionality with asymmetric unidimensional IRT models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Unidimensional item response theory (IRT) models are widely used even in settings where assessment data exhibit subtle forms of multidimensionality. Recent empirical evidence suggests that when item difficulty is associated with dimensionality, asymmetric item characteristic curves (ICCs) emerge in the unidimensional approximation.
Xiangyi Liao, Yinqiu He, Daniel Bolt, James Soland, Carlin Conner, Emily J. Solari   +5 more
wiley   +1 more source

State-transition and simulation-based modeling approaches for simulating the progression of dental caries: a scoping review. [PDF]

Front Oral Health
Teplitzky X, Gostilo D, Tsilingaridis G, Hamza B, Petrova L, Pulikkotil SJ.   +5 more
europepmc   +1 more source

Composite marginal likelihood estimation of higher‐order diagnostic classification models under high dimensionality

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
wiley   +1 more source

Searching for convergence in phylogenetic Markov chain Monte Carlo.

Systematic Biology, 2006
R. Beiko, J. Keith, Timothy J. Harlow, M. Ragan   +3 more
semanticscholar   +1 more source