Generalized Euler method to study the vaccination effects on dynamics of measles infection model under non-singular kernel. [PDF]
Yadav LK +4 more
europepmc +1 more source
Distributed k‐WTA Network for Multi‐Manipulator Competition With Experimental Verifications
ABSTRACT In this article, a new distributed k $k$‐winner‐take‐all (Dk $k$‐WTA) network is designed and used to construct a dynamic allocation scheme for competitive coordination tasks of multiple manipulators as embodied agents. The scheme is constructed based on the following two aspects. On one hand, with reference to a perspective that the Laplacian
Shengkai Sun, Yutong Li, Jianfeng Lv
wiley +1 more source
New solutions of multidimensional fuzzy fractional coupled Burgers systems via He Laplace Carson algorithm. [PDF]
Qayyum M +6 more
europepmc +1 more source
Fast Estimation and Valid Statistical Inference for Mixed-Effect Location-Scale Models Using Variational Inference. [PDF]
Wu BP, Hedeker D.
europepmc +1 more source
This work develops three surface‐driven nanoscale models for the diffraction‐derived lattice parameter, Debye–Waller coefficient and microstrain, clarifying why their size dependences are not equally universal. Atomistic simulations and literature data show that lattice parameter trends depend strongly on capillarity, chemistry and defects, whereas the
Sirisha Subbareddy +5 more
wiley +1 more source
Friction-Induced Thermal Effects in an FGM Layer in Contact with a Homogeneous Layer. [PDF]
Topczewska K.
europepmc +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
Linear Stability of the Slowly-Rotating Kerr-de Sitter Family. [PDF]
Fang AJ.
europepmc +1 more source
Calibrating Bayesian inference
Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu +2 more
wiley +1 more source
Robust Lifetime Estimation from HPGe Radiation-Sensor Time Series Using Pairwise Ratios and MFV Statistics. [PDF]
Golovko VV.
europepmc +1 more source

