Results 131 to 140 of about 3,053 (263)

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

Singlet-like correlations: equal peak work, unequal robustness. [PDF]

Eur Phys J Plus
Svozil K.
europepmc   +1 more source

Weighted inequalities for monotone functions

Collectanea Mathematica, 1997
We give characterizations of weights for which reverse inequalities of theH¨oldertype for monotone functions are satisfied. Our inequalities with general weightsand with sharp constants complement the results of [2], [6], [7] and [14], [15]for the values of parameters 0 < p ≤ q < ∞.
openaire   +3 more sources

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

Effects of host migration and travel loss on strain competition in a two-patch SIR model. [PDF]

J Math Biol
Chen BS, Wu CH.
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

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

Time-of-Flow Distributions in Discrete Quantum Systems: From Operational Protocols to Quantum Speed Limits. [PDF]

Entropy (Basel)
Beau M.
europepmc   +1 more source

Regularized reduced rank regression for mixed predictor and response variables

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno, Mark de Rooij, Roberta Siciliano   +2 more
wiley   +1 more source

Tight Bounds Between the Jensen-Shannon Divergence and the Minmax Divergence. [PDF]

Entropy (Basel)
Akopyan A, Edelsbrunner H, Virk Ž, Wagner H.   +3 more
europepmc   +1 more source