Results 81 to 90 of about 1,096,936 (228)
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
In this article, we study the stabilization of an Euler-Bernoulli beam equation with variable coefficients where boundary observation is subject to a time delay.
Kun-Yi Yang, Jing-Jing Li, Jie Zhang
doaj
Abstract Cognitive diagnostic models (CDMs) have become essential tools for providing fine‐grained information about individuals' mastery of cognitive skills. While prior reviews have emphasized statistical foundations and deep learning‐based developments, this article focuses on recent methodological innovations designed to address persistent ...
Chun Wang, Yale Quan, David Arthur
wiley +1 more source
... Specimen inaugurale sistens observationes iuridicas varii argumenti
quas ... pro summis in utroque iure honoribus rite consequendis ad d. 7. Aprilis MDCCLXXVIII ... publice defendet Iacobus Bernoulli Ioh. filius BasileensisEnthält 7 ThesenDiss. Univ.
Bernoulli, Jakob
core +1 more source
The link between colorfulness and extinction risk across the world's passerine birds
Abstract Many of the functional traits that mediate extinction risk across the range of biodiversity relate indirectly to a species’ ability to persist in a changing world, yet certain traits such as coloration directly affect human interactions with wildlife.
Montague H. C. Neate‐Clegg +1 more
wiley +1 more source
... Theses iuridicae ex vario iure desumtae
quas ... pro vacante cathedra iuris publice defendet Ioh. Bernoulli, Ioh. fil. i.u.c. die 27. Aprilis M DCC XXXI. ...Enthält 46 ThesenDisputatio pro cathedra vac. jur.
Bernoulli, Johann
core +1 more source
To understand the range‐wide drivers of Arizona Toad distribution and anticipate future changes, we combined 13 datasets covering distinct portions of the range in an integrated species distribution model. We estimate that the current occupied range is 1/4–1/3 of previously defined range boundaries and that increasingly dry conditions will lead to ...
C. Lane Scher +14 more
wiley +1 more source
Stochastic Approximation for Expensive One-Bit Feedback Systems
One-bit feedback systems generate binary data as their output and the system performance is usually measured by the success rate with a fixed parameter combination. Traditional methods need many executions for parameter optimization.
Xiaoqin Zhang, Huimin Ma, Jinghuan Wen
doaj +1 more source
Sympatric species are expected to use resources differently along one or more ecological dimensions. This can be complex when there is partial separation along multiple dimensions, such as where bird species exhibit similarities in habitat use and diet.
S. R. Davies +5 more
wiley +1 more source
A Horse Race of Machine‐Learning Methods to Predict Banking Crises
ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley +1 more source

