Results 51 to 60 of about 2,222 (176)
To vary or not to vary: A flexible empirical Bayes factor for testing variance components
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley +1 more source
On the Asymptotic Behavior of Modular Forms and Related Objects [PDF]
, 2023 This thesis consists of research articles on the asymptotic behavior of modular forms and various related objects. First we determine the bivariate asymptotic behavior of Fourier coefficients for a wide class of eta-theta quotients with simple poles ...
Cesana, Giulia
core
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Standardized mean differences (SMDs) are widely used to quantify treatment effects in cluster‐randomized trials. However, covariate adjustment in hierarchical linear models reduces the residual variance components used for standardization, which artificially inflates effect size estimates and undermines comparability across studies. We propose
Juyoung Jung +2 more
wiley +1 more source
The Hooley–Huxley Contour Method for Problems in Number Fields: I. Arithmetic Functions
, 1999 RÉSUMÉ. On se donne une fonction multiplicative définie sur l’ensemble des idéaux d’un corps de nombres. On suppose que les valeurs prises par cette fonction sur les idéaux premiers ne dépendent que de la classe de Frobenius des idéaux premiers dans une ...
M. D. Coleman
semanticscholar +1 more source
New estimation methods for diagnostic classification models
British Journal of Mathematical and Statistical Psychology, EarlyView.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
Real‐Time Conformal Maps and Parameterizations
Computer Graphics Forum, EarlyView.Abstract We present a simple algorithm to conformally map between two simple and bounded planar domains based on the concept of harmonic measure, which is a conformal invariant. With suitable preprocessing, the algorithm is fast enough to compute all possible conformal maps (having three real degrees of freedom) between the two domains in real time in
Q. Chang, C. Gotsman, K. Hormann
wiley +1 more source
2D Piecewise Linear Scalar Fields with Invertible Integral Lines
Computer Graphics Forum, EarlyView.Abstract Integral lines of the gradient flow are standard features in continuously differentiable scalar fields that enjoy some useful properties: They cover the domain densely, do not split, merge, or intersect, and are therefore invertible. For widely used discretizations of scalar fields, the corresponding polygonal approximations of integral lines ...
T.L. Erxleben +3 more
wiley +1 more source
ABEL-TAUBER PROCESS AND ASYMPTOTIC FORMULAS [PDF]
The Abel-Tauber process consist of the Abelian process of forming the Riesz sums and the subsequent Tauberian process of differencing the Riesz sums, an analogue of the integration-differentiation process.
Maji, Bibekananda +5 more
core +1 more source
Complexity of some arithmetic problems for binary polynomials [PDF]
, 2003 We study various combinatorial complexity measures of Boolean functions related to some natural arithmetic problems about binary polynomials, that is, polynomials over F_2.
Shparlinski, I. +17 more
core +1 more source
On Integral Priors for Multiple Comparison in Bayesian Model Selection
International Statistical Review, EarlyView.Summary Noninformative priors constructed for estimation purposes are usually not appropriate for model selection and testing. The methodology of integral priors was developed to get prior distributions for Bayesian model selection when comparing two models, modifying initial improper reference priors. We propose a generalisation of this methodology to
Diego Salmerón +2 more
wiley +1 more source