Results 31 to 40 of about 269 (152)

Posterior Predictive Checking for Partially Observed Stochastic Epidemic Models [PDF]

, 2023
We address the problem of assessing the fit of stochastic epidemic models to data. Two novel model assessment methods are developed, based on disease progression curves, namely the distance method and the position-time method. The methods are illustrated
Kypraios, Theodore, O'Neill, Philip D., Aristotelous, Georgios   +2 more
core   +1 more source

Modeling maxima of longitudinal contralateral observations

, 2008
Canonical fundamental skew-normal distribution, Exchangeability, Extended skew-normal distribution, Multivariate skew-normal distribution, Nonlinear prediction, 62E15, 62H10, 62P10,
LOPERFIDO, NICOLA MARIA RINALDO, Nicola Loperfido   +1 more
core   +1 more source

Compatible priors for Bayesian model comparison with an application to the Hardy–Weinberg equilibrium model

, 2008
Bayes factor, Conjugate prior, Dirichlet distribution, Jeffreys conditioning, Kullback–Leibler projection, Nested model, Predictive distribution, Trinomial distribution, 62F15, 62P10, 92D25,
E. Gutièrrez Peña, Guido Consonni, Eduardo Gutiérrez-Peña, G. Consonni, VERONESE, PIERO, Gutierrez Pena E., Veronese P., Consonni, Guido, Piero Veronese   +8 more
core   +1 more source

Causal effect on a target population: A sensitivity analysis to handle missing covariates

Journal of Causal Inference, 2022
Randomized controlled trials (RCTs) are often considered the gold standard for estimating causal effect, but they may lack external validity when the population eligible to the RCT is substantially different from the target population.
Colnet Bénédicte, Josse Julie, Varoquaux Gaël, Scornet Erwan   +3 more
doaj   +1 more source

Sequence alignment generation using intermediate sequence search for homology modeling

Computational and Structural Biotechnology Journal, 2020
Protein tertiary structure is important information in various areas of biological research, however, the experimental cost associated with structure determination is high, and computational prediction methods have been developed to facilitate a more ...
Shuichiro Makigaki, Takashi Ishida
doaj   +1 more source

Augmenting the bootstrap to analyze high dimensional genomic data

, 2008
Inverse covariance, Large-p-small-n , Resampling, Genomics, 62G09, 62P10,
Svitlana Tyekucheva, CHIAROMONTE, FRANCESCA, Francesca Chiaromonte, Tyekucheva S   +3 more
core   +1 more source

Tree-based conditional copula estimation

Dependence Modeling
This article proposes a regression tree procedure to estimate conditional copulas. The associated algorithm determines classes of observations based on covariate values and fits a simple parametric copula model on each class.
Bonacina Francesco, Lopez Olivier, Thomas Maud   +2 more
doaj   +1 more source

Simulation study on the impact of measurement errors in hierarchical Bayesian semi-parametric models

Computational and Mathematical Biophysics
This study examines the impact of measurement errors on parameter estimates within hierarchical Bayesian semiparametric (HBS) models, with a focus on the Lotka–Volterra predator–prey model as a case study.
Langat Amos Kipkorir, Mwalili Samuel Musili, Kazembe Lawrence Ndekeleni   +2 more
doaj   +1 more source

Optimal precision of coarse structural nested mean models to estimate the effect of initiating ART in early and acute HIV infection

Journal of Causal Inference
Time-dependent coarse structural nested mean models (coarse SNMMs) were developed to estimate treatment effects from longitudinal observational data. Coarse SNMMs estimate the combined effect of multiple treatment dosages and are thus useful to estimate ...
Lok Judith J.
doaj   +1 more source

Statistical, machine learning, and deep learning models for COVID-19 forecasting in Kenya

Computational and Mathematical Biophysics
This study aims to enhance coronavirus disease 2019 forecasting in Kenya by comparing the predictive performance of statistical, machine learning, and deep learning (DL) models for total cases, critical cases, severe cases, and total deaths, using data ...
Kiarie Joyce, Mwalili Samuel Musili, Mbogo Rachel, Mutinda John Kamwele, Langat Amos Kipkorir   +4 more
doaj   +1 more source