An extension of the basic local independence model to multiple observed classifications
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi +8 more
wiley +1 more source
Dynamics of a discrete-time predator-prey model with exponential prey growth and saturated response. [PDF]
Emam HH, El-Metwally H, Hamada MY.
europepmc +1 more source
Detecting Critical Change in Dynamics Through Outlier Detection with Time‐Varying Parameters
Abstract Intensive longitudinal data are often found to be non‐stationary, namely, showing changes in statistical properties, such as means and variance‐covariance structures, over time. One way to accommodate non‐stationarity is to specify key parameters that show over‐time changes as time‐varying parameters (TVPs). However, the nature and dynamics of
Meng Chen +2 more
wiley +1 more source
Research on the Control Algorithm for a Brushless DC Motor Based on an Adaptive Extended Kalman Filter. [PDF]
Jinwu T +5 more
europepmc +1 more source
Asymptotic standard errors for reliability coefficients in item response theory
Abstract In a recent review, Liu et al. (Psychological Methods, 2025b) classified reliability coefficients into two types: classical test theory (CTT) reliability and proportional reduction in mean squared error (PRMSE). This article focuses on quantifying the sampling variability of these coefficients under item response theory (IRT) models.
Youjin Sung, Yang Liu
wiley +1 more source
The frequency response of networks as open systems. [PDF]
Nazerian A +4 more
europepmc +1 more source
Training Implicit Networks for Image Deblurring using Jacobian-Free Backpropagation [PDF]
Linghai Liu, Shuaicheng Tong, Lisa Zhao
openalex +1 more source
Computing Skinning Weights via Convex Duality
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley +1 more source
Four-Dimensional Computed Tomography of Respiratory Function Changes Post-Radiotherapy for Lung Cancer. [PDF]
Wada S +5 more
europepmc +1 more source

