Results 121 to 130 of about 3,128,130 (383)
Bayesian Estimation for Zero-Truncated Bivariate Poisson Regression Model
Emerging Science JournalBivariate count data occurs when two associated variable counts necessitate joint estimate primarily for efficiency purposes. This paper presents Bayesian estimate for the zero-truncated bivariate Poisson regression model.
Prapaporn Rerngchaiyaphum +1 more
doaj +1 more source
Zero‐inflated Poisson regression with random effects to evaluate an occupational injury prevention programme [PDF]
, 2001 Kelvin K.W. Yau, Andy H. Lee
openalex +1 more source
Advanced Intelligent Discovery, EarlyView.This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
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
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Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
A Poisson log-bilinear regression approach to the construction of projected lifetables [PDF]
, 2002 Natacha Brouhns +2 more
openalex +1 more source
Advanced Intelligent Systems, EarlyView.Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang +3 more
wiley +1 more source
Poisson regression for linguists: A tutorial introduction to modelling count data with brms
Language and Linguistics Compass, 2021 Bodo Winter, P. Bürkner
semanticscholar +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
ANALISIS FAKTOR – FAKTOR YANG MEMPENGARUHI JUMLAH KEJAHATAN PENCURIAN KENDARAAN BERMOTOR (CURANMOR) MENGGUNAKAN MODEL GEOGRAPHICALLY WEIGHTED POISSON REGRESSION (GWPR) [PDF]
, 2015 Theft is an act taking someone else’s property, partially or entierely, with intention to have it illegally. Motor vehicle theft is one of the most highlighted crime type and disturbing the communities.
HARIS, MUHAMMAD
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