Results 31 to 40 of about 3,995 (142)

MCMCINLA Estimation of Missing Data and Its Application to Public Health Development in China in the Post-Epidemic Era

Entropy, 2022
Medical data are often missing during epidemiological surveys and clinical trials. In this paper, we propose the MCMCINLA estimation method to account for missing data.
Jiaqi Teng, Shuzhen Ding, Xiaoping Shi, Huiguo Zhang, Xijian Hu   +4 more
doaj   +1 more source

Climate sensitive single tree growth modeling using a hierarchical Bayes approach and integrated nested Laplace approximations (INLA) for a distributed lag model

Forest Ecology and Management, 2020
Abstract A novel methodological framework is presented for climate-sensitive modeling of annual radial stem increments using tree-ring width time series. The approach is based on a hierarchical Bayes model together with a distributed time lag model that take into account the effects of a series of monthly temperature and precipitation values, as well
openaire   +1 more source

A spliced Gamma-Generalized Pareto model for short-term extreme wind speed probabilistic forecasting [PDF]

, 2019
Renewable sources of energy such as wind power have become a sustainable alternative to fossil fuel-based energy. However, the uncertainty and fluctuation of the wind speed derived from its intermittent nature bring a great threat to the wind power ...
Castro-Camilo, Daniela, Huser, Raphaël, Rue, Håvard   +2 more
core   +2 more sources

survHE: Survival Analysis for Health Economic Evaluation and Cost-Effectiveness Modeling

Journal of Statistical Software, 2020
Survival analysis features heavily as an important part of health economic evaluation, an increasingly important component of medical research. In this setting, it is important to estimate the mean time to the survival endpoint using limited information (
Gianluca Baio
doaj   +1 more source

The potential distribution of Bacillus anthracis suitability across Uganda using INLA

Scientific Reports, 2022
To reduce the veterinary, public health, environmental, and economic burden associated with anthrax outbreaks, it is vital to identify the spatial distribution of areas suitable for Bacillus anthracis, the causative agent of the disease.
V. A. Ndolo, D. Redding, M. A. Deka, J. S. Salzer, A. R. Vieira, H. Onyuth, M. Ocaido, R. Tweyongyere, R. Azuba, F. Monje, A. R. Ario, S. Kabwama, E. Kisaakye, L. Bulage, B. Kwesiga, V. Ntono, J. Harris, J. L. N. Wood, A. J. K. Conlan   +18 more
doaj   +1 more source

Improving the INLA approach for approximate Bayesian inference for latent Gaussian models

, 2015
We introduce a new copula-based correction for generalized linear mixed models (GLMMs) within the integrated nested Laplace approximation (INLA) approach for approximate Bayesian inference for latent Gaussian models.
Ferkingstad, Egil, Rue, Håvard
core   +1 more source

TMB: Automatic Differentiation and Laplace Approximation [PDF]

, 2015
TMB is an open source R package that enables quick implementation of complex nonlinear random effect (latent variable) models in a manner similar to the established AD Model Builder package (ADMB, admb-project.org).
Bell, Brad, Berg, Casper W., Kristensen, Kasper, Nielsen, Anders, Skaug, Hans   +4 more
core   +4 more sources

Approximate Bayesian inference based on INLA algorithm

Statistical Theory and Related Fields
The integrated nested Laplace approximation (INLA) algorithm provides a computationally efficient approach for approximate Bayesian inference, overcoming the limitations of traditional Markov chain Monte Carlo (MCMC) methods.
Pingping Wang, Wei Zhao, Yincai Tang
doaj   +1 more source

Functional Brain Response to Emotional Muical Stimuli in Depression, Using INLA Approach for Approximate Bayesian Inference

Basic and Clinical Neuroscience, 2021
Introduction: One of the vital skills which has an impact on emotional health and well-being is the regulation of emotions. In recent years, the neural basis of this process has been considered widely.
Parisa Naseri, Hamid Alavi Majd, Seyyed Mohammad Tabatabaei, Naghmeh Khadembashi, Seyed Morteza Najibi, Atiye Nazari   +5 more
doaj  

Computer model calibration with large non-stationary spatial outputs: application to the calibration of a climate model [PDF]

, 2018
Bayesian calibration of computer models tunes unknown input parameters by comparing outputs with observations. For model outputs that are distributed over space, this becomes computationally expensive because of the output size.
Alexander M. J., Beck J., Bhat K. S., Chang W., Fuglstad G.‐A., Hamilton K., Whittle P.   +6 more
core   +2 more sources