Results 41 to 50 of about 3,307,614 (190)
A Fast, Flexible Simulation Framework for Bayesian Adaptive Designs-The R Package BATSS. [PDF]
ABSTRACT The use of Bayesian adaptive designs for randomised controlled trials has been hindered by the lack of software readily available to statisticians. We have developed a new software package (Bayesian Adaptive Trials Simulator Software—BATSS) for the statistical software R, which provides a flexible structure for the fast simulation of Bayesian ...
Couturier DL +4 more
europepmc +2 more sources
Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations [PDF]
Summary Structured additive regression models are perhaps the most commonly used class of models in statistical applications. It includes, among others, (generalized) linear models, (generalized) additive models, smoothing spline models, state space models, semiparametric regression, spatial and spatiotemporal models, log-Gaussian Cox
Rue, Havard +2 more
openaire +2 more sources
Integrated Nested Laplace Approximations (INLA)
This is a short description and basic introduction to the Integrated nested Laplace approximations (INLA) approach. INLA is a deterministic paradigm for Bayesian inference in latent Gaussian models (LGMs) introduced in Rue et al. (2009). INLA relies on a combination of analytical approximations and efficient numerical integration schemes to achieve ...
Martino, Sara, Riebler, Andrea
openaire +2 more sources
A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA) [PDF]
"The authors also gratefully acknowledge the financial support of Research Councils UK for Illian"This paper develops methodology that provides a toolbox for routinely fitting complex models to realistic spatial point pattern data.
Illian, Janine Baerbel +7 more
core +1 more source
Mitigating measurement error in misspecified small area models
Abstract In the framework of Small area estimation, we consider an area‐level model where a subset of covariates is measured with error. The extent of the error is assumed to be constant throughout the areas, and it is expressed by a scalar parameter γ$$ \gamma $$, which multiplies the deterministic covariance matrix of the estimator of the true ...
Diego Battagliese +3 more
wiley +1 more source
© 2017, © 2017 Taylor & Francis Group, LLC. The combined model accounts for different forms of extra-variability and has traditionally been applied in the likelihood framework, or in the Bayesian setting via Markov chain Monte Carlo.
Thomas Neyens +6 more
core +1 more source
Kinetic Contribution to the Arbitrary Order Odd Frequency Moments of the Dynamic Structure Factor
ABSTRACT An exact expression is derived for the kinetic contribution to the odd (arbitrary order) frequency moments of the dynamic structure factor via a finite summation that features averages of even (all lower orders) powers of the momentum over the exact momentum distribution.
Panagiotis Tolias +2 more
wiley +1 more source
This study aimed to evaluate and compare Bayesian predictive models to identify and quantify the key household inputs affecting cattle milk production in Tanzania.
Zainabu Bonza +2 more
doaj +1 more source
The projected risk of plant invasions on the peri‐Antarctic islands under climate change
The peri‐Antarctic islands have largely been shielded from alien plant species due to low human pressure, limited introduction pathways, and local harsh climates. However, climate change is expected to lower these barriers. We assess the vulnerability of 12 peri‐Antarctic islands to invasion by 2220 plant species invasive in at least one region of the ...
Tom Vorstenbosch +8 more
wiley +1 more source
As extreme climatic events are becoming more frequent, we need to understand what mechanisms could buffer populations to ensure their persistence. Fragmented populations may be especially vulnerable, as exemplified by species with metapopulation dynamics whose persistence is determined by a precarious balance between frequent local extinctions and ...
Natalie E. van Dis +5 more
wiley +1 more source

