Results 61 to 70 of about 3,307,614 (190)
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT Fractional calculus, with its unique advantage in describing memory and nonlocal effects, has become a key tool for modeling nonlinear dynamic systems. Its integration with circuit systems has opened up a new paradigm for modern circuit design.
Zhimo Jian +4 more
wiley +1 more source
Genetic susceptibility, colony size, and water temperature drive white-pox disease on the coral Acropora palmata. [PDF]
PLoS ONE, 2014 Outbreaks of coral diseases are one of the greatest threats to reef corals in the Caribbean, yet the mechanisms that lead to coral diseases are still largely unknown. Here we examined the spatial-temporal dynamics of white-pox disease on Acropora palmata
Erinn M Muller, Robert van Woesik
doaj +1 more source
Australian Veterinary Journal, EarlyView.Feral pigs (Sus scrofa) are important reservoirs for zoonotic and livestock pathogens in Australia, but robust information on the spatial distribution of pathogens in pig populations remains limited. We analysed serological data from a systematic, state‐wide surveillance program to investigate spatial heterogeneity in exposure to Brucella suis and ...
AJ Bengsen +10 more
wiley +1 more source
Bayesian Nonparametric Regression and Density Estimation Using Integrated Nested Laplace Approximations [PDF]
Journal of Biometrics & Biostatistics, 2013 Integrated nested Laplace approximations (INLA) are a recently proposed approximate Bayesian approach to fit structured additive regression models with latent Gaussian field. INLA method, as an alternative to Markov chain Monte Carlo techniques, provides accurate approximations to estimate posterior marginals and avoid time-consuming sampling.
openaire +2 more sources
Biometrical Journal, 2023 AbstractMeasurement error (ME) and missing values in covariates are often unavoidable in disciplines that deal with data, and both problems have separately received considerable attention during the past decades. However, while most researchers are familiar with methods for treating missing data, accounting for ME in covariates of regression models is ...
Emma Skarstein +2 more
openaire +4 more sources
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
wiley +1 more source
Bayesian Mortality Modeling with Linearized Integrated Nested Laplace Approximations
, 2022 Prediksjon av dødelighet er et viktig verktøy innen for eksempel aktuarviten- skap og demografi. Mange populære dødelighetsmodeller inneholder multiplikative ledd som gjør at de ikke inkluderes i gruppen av modeller der man kan bruke den populære metoden INLA (Rue et al. 2009) for å gjøre bayesiansk inferens.
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Bayesian Analysis of Measurement Error Models Using Integrated Nested Laplace Approximations
Journal of the Royal Statistical Society Series C: Applied Statistics, 2014 SummaryTo account for measurement error (ME) in explanatory variables, Bayesian approaches provide a flexible framework, as expert knowledge can be incorporated in the prior distributions. Recently, integrated nested Laplace approximations have been proven to be a computationally convenient alternative to sampling approaches for Bayesian inference in ...
Muff, Stefanie +4 more
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Calibrating Bayesian inference
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu +2 more
wiley +1 more source
Joint quantile disease mapping with application to malaria and G6PD deficiency
Royal Society Open ScienceStatistical analysis based on quantile methods is more comprehensive, flexible and less sensitive to outliers when compared to mean methods. Joint disease mapping is useful for inferring correlation between different diseases.
Hanan Alahmadi +3 more
doaj +1 more source