D-Optimal Design for the Rasch Counts Model with Multiple Binary Predictors [PDF]
British Journal of Mathematical and Statistical Psychology Volume
73, 2020, Issue 3, p. 541-555, 2018 In this paper, we derive optimal designs for the Rasch Poisson counts model and the Rasch Poisson-Gamma counts model incorporating several binary predictors for the difficulty parameter. To efficiently estimate the regression coefficients of the predictors, locally D-optimal designs are developed. After an introduction to the Rasch Poisson counts model
arxiv +1 more source
Metallic and Insulating Phases of Repulsively Interacting Fermions in a 3D Optical Lattice [PDF]
Science, Vol. 322, p.1520-1525 (2008), 2008 The fermionic Hubbard model plays a fundamental role in the description of strongly correlated materials. Here we report on the realization of this Hamiltonian using a repulsively interacting spin mixture of ultracold $^{40}$K atoms in a 3D optical lattice.
arxiv +1 more source
Assessing Learning in Small Sized Physics Courses [PDF]
PhysRevPhysEducRes.14.010102, 2018, 2015 We describe the construction, validation and testing of a concept inventory for an Introduction to Physics of Semiconductors course offered by the department of physics for undergraduate engineering students. By design, this inventory addresses both content knowledge and ability to interpret content via different cognitive processes described in Bloom ...
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Unidimensionality in Rasch Models: Efficient Item Selection and Hierarchical Clustering Methods Based on Marginal Estimates [PDF]
arXiv, 2023 A strong tool for the selection of items that share a common trait from a set of given items is proposed. The selection method is based on marginal estimates and exploits that the estimates of the standard deviation of the mixing distribution are rather stable if items are from a Rasch model with a common trait.
arxiv
Invariance of Comparisons: Separation of Item and Person Parameters beyond Rasch Models [PDF]
arXiv, 2023 The Rasch model is the most prominent member of the class of latent trait models that are in common use. The main reason is that it can be considered as a measurement model that allows to separate person and item parameters, a feature that is referred to as invariance of comparisons or specific objectivity.
arxiv
Hybridisation in two-band Hubbard models with different bandwidths [PDF]
J. Phys.: Condens. Matter 19, 436206 (2007), 2007 We investigate the orbital selective Mott transition in two-band Hubbard models by means of the Gutzwiller variational theory. In particular, we study the influence of a finite local hybridisation between electrons in different orbitals on the metal-insulator transition.
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A Nonparametric Bayesian Item Response Modeling Approach for Clustering Items and Individuals Simultaneously [PDF]
arXiv, 2020 Item response theory (IRT) is a popular modeling paradigm for measuring subject latent traits and item properties according to discrete responses in tests or questionnaires. There are very limited discussions on heterogeneity pattern detection for both items and individuals.
arxiv
ReHabgame A non-immersive virtual reality rehabilitation system with applications in neuroscience [PDF]
Heliyon. 2018 Feb 12;4(2):e00526, 2018 This paper proposes the use of a non-immersive virtual reality rehabilitation system ReHabgame developed using Microsoft Kinect and the Thalmic Labs Myo gesture control armband. The ReHabgame was developed based on two third-person video games that provide a feasible possibility of assessing postural control and functional reach tests.
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Supply of engineering techniques and software design patterns in psychoanalysis and psychometrics sciences [PDF]
arXiv, 2021 The purpose of this study is to introduce software technologies and models and artificial intelligence algorithms to improve the weaknesses of CBT (Cognitive Behavior Therapy) method in psychotherapy. The presentation method for this purpose is the implementation of psychometric experiments in which the hidden human variables are inferred from the ...
arxiv
Algebraic geometry of Poisson regression [PDF]
Journal of Algebraic Statistics 7 (2016), pp. 29-44, 2015 Designing experiments for generalized linear models is difficult because optimal designs depend on unknown parameters. Here we investigate local optimality. We propose to study for a given design its region of optimality in parameter space. Often these regions are semi-algebraic and feature interesting symmetries.
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