Results 31 to 40 of about 3,927,001 (165)
Approximate Bayesian inference based on INLA algorithm
Statistical Theory and Related FieldsThe 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
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Integrated nested laplace approximation for bayesian nonparametric phylodynamics [PDF]
, 2012 The goal of phylodynamics, an area on the intersection of phylogenetics and population genetics, is to reconstruct population size dynamics from genetic data.
Palacios, JA, Minin, VN
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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
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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 +4 more
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A Bayesian Spatial Disaggregation Approach for Fine‐Scale Mapping of Water Access Disparities
Sustainable Development, EarlyView.ABSTRACT Access to clean water remains a critical challenge for achieving Sustainable Development Goal 6: Clean Water and Sanitation. While national statistics agencies report water access at coarse municipal scales, this data obscure critical hotspots where vulnerable populations lack essential services.
Ivan Lizarazo +2 more
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An Extended Simplified Laplace strategy for Approximate Bayesian inference of Latent Gaussian Models using R-INLA [PDF]
, 2022 Various computational challenges arise when applying Bayesian inference approaches to complex hierarchical models. Sampling-based inference methods, such as Markov Chain Monte Carlo strategies, are renowned for providing accurate results but with high ...
Niekerk, Janet van +2 more
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Comparison of inference methods of genetic parameters with an application to body weight in broilers [PDF]
Archives Animal Breeding, 2015 REML (restricted maximum likelihood) has become the standard method of variance component estimation in animal breeding. Inference in Bayesian animal models is typically based upon Markov chain Monte Carlo (MCMC) methods, which are generally flexible but
G. Maniatis +4 more
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A Bayes factor framework for unified parameter estimation and hypothesis testing
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
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Key agroecosystems for the conservation of amphibians and reptiles in Europe
Conservation Biology, EarlyView.Abstract Agricultural expansion and intensification are driving amphibian and reptile declines worldwide. However, sustainably managed agroecosystems can support a high diversity of herpetofauna, which play a key role in pest control, reducing crop damage.
Andrea Dalpasso +4 more
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A spatiotemporal analysis of Salmonella bacteraemia in Queensland, 2010–2019
Internal Medicine Journal, EarlyView.Abstract Background Salmonellosis contributes to a significant burden on global healthcare systems. The impact of this foodborne bacterium is more pronounced when the infection is invasive, leading to bacteraemia and sepsis. Studies on invasive salmonellosis are few, and there is an urgent need to understand the spatial distribution of bacteraemia and ...
Naveen Manchal +3 more
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