Results 61 to 70 of about 122,084 (173)

Bayesian comparison of latent variable models: Conditional vs marginal likelihoods

, 2019
Typical Bayesian methods for models with latent variables (or random effects) involve directly sampling the latent variables along with the model parameters.
Furr, D., Merkle, E. C., Rabe-Hesketh, S.   +2 more
core   +1 more source

A stochastic model for multivariate surveillance of infectious diseases [PDF]

, 2004
We describe a stochastic model based on a branching process for analyzing surveillance data of infectious diseases that allows to make forecasts of the future development of the epidemic. The model is based on a Poisson branching process with immigration
Held, Leonhard, Hofmann, M., Höhle, Michael   +2 more
core   +2 more sources

MODELING LONGITUDINAL FLOOD DATA IN WEST SUMATRA USING THE GENERALIZED ESTIMATING EQUATION (GEE) APPROACH

Barekeng
Flooding is one of the many natural disasters that often hit Indonesia. In July 2023, three areas in West Sumatra experienced floods and landslides which caused damages and even 2 missing victims.
Alfi Nur Nitasari, Andini Sa'idah, Nurin Faizun, Kezia Eunike Darmawan, Marfa Audilla Fitri, Nur Chamidah   +5 more
doaj   +1 more source

Evaluation of a measles vaccine campaign by oral-fluid surveys in a rural Kenyan district: interpretation of antibody prevalence data using mixture models [PDF]

, 2009
We evaluated the effectiveness of a measles vaccine campaign in rural Kenya, based on oral-fluid surveys and mixture-modelling analysis. Specimens were collected from 886 children aged 9 months to 14 years pre-campaign and from a comparison sample of 598
E. O. OHUMA, E. A. OKIRO, A. BETT, J. ABWAO, S. WERE, D. SAMUEL, A. VYSE, N. GAY, D. W. G. BROWN, D. J. NOKES, Nokes, Vyse, Kremer, Enquselassie   +13 more
core   +1 more source

Model selection techniques for seafloor scattering statistics in synthetic aperture sonar images of complex seafloors

IET Radar, Sonar & Navigation
In quantitative analysis of seafloor scattering measurements, it is common to model the single‐point probability density function of the scattered intensity or amplitude.
Derek R. Olson, Marc Geilhufe
doaj   +1 more source

Bayesian Modelling of the effects of nitrogen doses on the morphological characteristics of braquiaria grass

Agro@mbiente On-line, 2018
The Bayesian approach in regression models has shown good results in parameter estimations, where it can increase accuracy and precision. The objective of the current study was to analyze the application of Bayesian statistics to the modeling yield for
Luiz Henrique Marra da Silva Ribeiro, Matheus de Souza Costa, Luiz Alberto Beijo, Alberto Frank Lázaro Aguirre, Tatiane Gomes de Araújo, Josiane dos Santos Alves   +5 more
doaj   +1 more source

Goodness of fit in models for mortality data [PDF]

, 2008
Mortality data on an aggregate level are characterized by very large sample sizes. For this reason, uninformative outcomes are evident in common Goodness-of-Fit measures.
Camarda, Carlo Giovanni, Durbán, María
core   +1 more source

Modeling of the HIV infection epidemic in the Netherlands: A multi-parameter evidence synthesis approach

, 2012
Multi-parameter evidence synthesis (MPES) is receiving growing attention from the epidemiological community as a coherent and flexible analytical framework to accommodate a disparate body of evidence available to inform disease incidence and prevalence ...
Conti, Stefano, De Angelis, Daniela, Donoghoe, Martin C., Presanis, Anne M., Stengaard, Annemarie Rinder, van Veen, Maaike G., Xiridou, Maria   +6 more
core   +1 more source

The Co-Evolution of Test Maintenance and Code Maintenance through the lens of Fine-Grained Semantic Changes

, 2017
Automatic testing is a widely adopted technique for improving software quality. Software developers add, remove and update test methods and test classes as part of the software development process as well as during the evolution phase, following the ...
Levin, Stanislav, Yehudai, Amiram
core   +1 more source

Do cyber-birds flock together? Comparing deviance among social network members of cyber-dependent offenders and traditional offenders

, 2019
The distinct setting in which cyber-dependent crime takes place may reduce the similarity in the deviance of social network members. We test this assumption by analysing the deviance of the most important social contacts of cyber-dependent offenders and ...
Ruiter, S., Van Gelder, J., Weulen Kranenbarg, M.   +2 more
core   +2 more sources