Abstract Two classes of probabilistic models are compared: the true and error (TE) type models and models in the family of the basic local independence model (BLIM). The former finds applications in the study of human preference, whereas the latter has been developed within the theory of knowledge structures with the aim of producing knowledge ...
Luca Stefanutti +2 more
wiley +1 more source
New estimation methods for diagnostic classification models
Abstract This paper introduces a new class of estimators for cognitive diagnosis models (CDMs) based on the Cressie–Read family of ϕ$$ \phi $$‐divergences. Focusing on the loglinear CDM (LCDM), for which joint maximum likelihood estimation (JMLE) has been shown to be consistent, we propose a joint minimum divergence estimation (JMDE) framework.
Elena Castilla
wiley +1 more source
A cubical fuzzy Dubois-Prade aggregation framework for renewable and sustainable green energy decision-making. [PDF]
Deva K +4 more
europepmc +1 more source
A theoretical and computational study of the fractional Brusselator system with neural network validation. [PDF]
Ahmad S +5 more
europepmc +1 more source
Statistics of the Compression Ratio of a Variable-to-Variable Code: Exact Moments and Asymptotic Behavior. [PDF]
Merhav N.
europepmc +1 more source
Robust ranking of renewable energy alternatives handling uncertainty using novel hesitant bi-fuzzy MEREC-MOORA and Dombi aggregation approach. [PDF]
Roy Muhuri B +5 more
europepmc +1 more source
An adaptive hybrid quadrature scheme: Combining Simpson's rule and Gaussian quadrature for enhanced numerical integration. [PDF]
Asgedom AA, Kefela YY.
europepmc +1 more source
Utility-Leakage Trade-Off for Federated Representation Learning. [PDF]
Liu Y, Günlü O, Shi Y, Wu Y.
europepmc +1 more source

