Results 91 to 100 of about 152,582 (189)

Coevolution Regression and Composite Likelihood Estimation for Social Networks [PDF]

, 2018
Thesis (Ph.D.)--University of Washington, 2018We study how social networks and nodal attributes influence each other over time. A multiplicative coevolution regression (MCR) model is proposed for longitudinal network and nodal attribute data.
He, Yanjun
core  

Simultaneous modeling of multivariate heterogeneous responses and heteroskedasticity via a two-stage composite likelihood. [PDF]

Biom J, 2023
Ting BW, Wright FA, Zhou YH.
europepmc   +1 more source

Forecasting malaysian business cycle movement: empirical evidence from composite leading indicator [PDF]

Early detection of a turning point in a business cycle is crucial, as information about the changing phases in business cycles enables policy makers, the business community, and investors to cope better with unexpected events brought about by economic ...
Liew, Venus Khim-Sen, Wong, Shirly Siew-Ling, Abu Mansor, Shazali, Puah, Chin-Hong   +3 more
core   +1 more source

A Composite Half-Normal-Pareto Distribution with Applications to Income and Expenditure Data

Mathematics
The half-normal distribution is composited with the Pareto model to obtain a uni-parametric distribution with a heavy right tail, called the composite half-normal-Pareto distribution.
Neveka M. Olmos, Emilio Gómez-Déniz, Osvaldo Venegas, Héctor W. Gómez   +3 more
doaj   +1 more source

Local composite likelihood for spatial point processes [PDF]

, 2016
© 2017 Elsevier B.V.We develop a general approach to spatial inhomogeneity in the analysis of spatial point pattern data. The ideas of local likelihood (or 'geographically weighted regression') are applied to the composite likelihoods that are commonly ...
Adrian Baddeley, Baddeley, Adrian
core   +1 more source

Application of Central Composite Design in the Drilling Process of Carbon Fiber-Reinforced Polymer Composite

Applied Sciences
Composite materials are utilized in various industries due to their advantageous properties. Drilling is a crucial process for joining these materials to construct the structures.
Seyyedabbas Arhamnamazi, Francesco Aymerich, Pasquale Buonadonna, Mohamad El Mehtedi, Hossein Taheri   +4 more
doaj   +1 more source

Flexible and tractable modeling of multivariate data using composite Bayesian networks

Научно-технический вестник информационных технологий, механики и оптики
The article presents a new approach to modeling nonlinear dependencies called composite Bayesian networks. The main emphasis is on integrating machine learning models into Bayesian networks while maintaining their fundamental principles.
I. Yu. Deeva, K. A. Shakhkyan, Yu. K. Kaminsky   +2 more
doaj   +1 more source

Factors predicting composite grafts survivability in patients with fingertip amputations; a systematic review and meta-analysis

Journal of Orthopaedic Surgery and Research
Background Fingertip amputation is a commonly encountered injury in emergency settings. Composite grafting is a non-microsurgical alternative maintaining digit length with no donor site morbidities.
Ali Mohamed Elameen, Asmaa Ali Dahy, Ahmed Abu-Elsoud, Amany Attalah Gad   +3 more
doaj   +1 more source

Robust Variable Selection via Bayesian LASSO-Composite Quantile Regression with Empirical Likelihood: A Hybrid Sampling Approach

Mathematics
Since the advent of composite quantile regression (CQR), its inherent robustness has established it as a pivotal methodology for high-dimensional data analysis.
Ruisi Nan, Jingwei Wang, Hanfang Li, Youxi Luo   +3 more
doaj   +1 more source

Composite Conditional Likelihood for Sparse Clustered Data

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2003
SummarySparse clustered data arise in finely stratified genetic and epidemiologic studies and pose at least two challenges to inference. First, it is difficult to model and interpret the full joint probability of dependent discrete data, which limits the utility of full likelihood methods.
openaire   +1 more source