Results 111 to 120 of about 14,618,835 (284)
Reducing the bias of the maximum likelihood estimator for the Poisson regression model [PDF]
We derive expressions for the first-order bias of the MLE for a Poisson regression model and show how these can be used to adjust the estimator and reduce bias without increasing MSE.
Hui Feng, David E Giles
core
Simulating the tail of the interference in a Poisson network model [PDF]
Interference among simultaneous transmissions represents the main limitation factor for the capacity and connectivity of dense wireless networks. In this paper we provide efficient simulation laws for the tail of the interference in a simple wireless ad ...
Torrisi, G.L. +2 more
core +1 more source
Charge‐Transfer‐Mediated Boron Magneto‐Ionics: Towards Voltage‐Driven Multi‐Ion Transport
This study demonstrates voltage‐driven multi‐ion transport in FeBO systems, revealing simultaneous motion of B, Fe, and O ions enabled by charge‐transfer effects. By tuning oxidation states through oxygen incorporation, we achieve a transition from electrostatic‐like to electrochemical magneto‐ionic behavior. The findings establish boron magneto‐ionics,
Zheng Ma +15 more
wiley +1 more source
Discrete Poisson Haq distribution with mathematical properties and count data modeling
A new one-parameter discrete distribution, namely the Poisson Haq (PH) distribution, is proposed by a mixture of the Poisson variable and an independently distributed Haq random variable.
Abdullah M. Alomair +3 more
doaj +1 more source
Gap‐Free Information Transfer in 4D‐STEM via Fusion of Complementary Scattering Channels
Fused Full‐Field STEM (FF‐STEM) is introduced as a 4D‐STEM imaging modality that combines direct ptychography with tilt‐corrected dark‐field reconstruction in a single acquisition. Fourier‐space fusion using Wiener‐type spectral weighting closes the low‐frequency contrast gap inherent to bright‐field methods, delivering gap‐free, dose‐efficient, near ...
Shengbo You +15 more
wiley +1 more source
A latent diffusion‐based framework is proposed for designing functionally graded metamaterials with perfect connectivity. By integrating vector‐quantized latent representations with mechanistic guidance, the framework enables accurate inverse design toward target elastic properties.
Jongbin Yu, Dosung Lee, Namjung Kim
wiley +1 more source
A priori ratemaking using bivariate poisson regression models [PDF]
In automobile insurance, it is useful to achieve a priori ratemaking by resorting to generalized linear models, and here the Poisson regression model constitutes the most widely accepted basis. However, insurance companies distinguish between claims with
Lluis Bermúdez i Morata
core
Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley +1 more source
Modeling the Frequency of Cyclists’ Red-Light Running Behavior Using Bayesian PG Model and PLN Model
Red-light running behaviors of bicycles at signalized intersection lead to a large number of traffic conflicts and high collision potentials. The primary objective of this study is to model the cyclists’ red-light running frequency within the framework ...
Yao Wu, Jian Lu, Hong Chen, Qian Wan
doaj +1 more source
RINGKASAN Pengaruh Varian Efek Acak Terhadap Pengestimasian Efek Tetap dalam Model Poisson-Gamma pada HGLM (Hierarchical Generalized Linear Model); Siskha Kusumaningtyas; 2013; 50 Halaman; Jurusan Matematika Fakultas Matematika dan Ilmu ...
Siskha Kusumaningtyas
core

