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Long-range Dependence And Approximate Bayesian Computation
(Taylor & Francis IncPhiladelphia, 2017)
Parameter estimates of the 2016-2017 Zika outbreak in Costa Rica: An Approximate Bayesian Computation (ABC) approach
(2019-03-28)
In Costa Rica, the first known cases of Zika were reported in 2016. We looked at the 2016-2017 Zika outbreak and explored the transmission dynamics using weekly reported data. A nonlinear differential equation single-outbreak ...
Bayesian approximations in randomized response model
(Elsevier B.V., 1997-06-05)
Practical Bayesian inference depends upon detailed examination of posterior distribution. When the prior and likelihood are conjugate, this is easily carried out; however, in general, one must resort to numerical approximation. ...
Bayesian approximations in randomized response model
(Elsevier B.V., 1997-06-05)
Practical Bayesian inference depends upon detailed examination of posterior distribution. When the prior and likelihood are conjugate, this is easily carried out; however, in general, one must resort to numerical approximation. ...
Reverse engineering directed gene regulatory networks from transcriptomics and proteomics data of biomining bacterial communities with approximate Bayesian computation and steady-state signalling simulations
(2020)
Abstract
Background
Network inference is an important aim of systems biology. It enables the transformation of OMICs datasets into biological knowledge. It consists of ...
Bayesian approximations in randomized response model
(Elsevier B.V., 2014)
Forecasting the Term Structure of Interest Rates Using Integrated Nested Laplace Approximations
(Wiley-blackwellHobokenEUA, 2014)
Strategies for improving approximate Bayesian computation tests for synchronous diversification
(Biomed Central Ltd, 2017-08-24)
Background: Estimating the variability in isolation times across co-distributed taxon pairs that may have experienced the same allopatric isolating mechanism is a core goal of comparative phylogeography. The use of ...
Bayesian network classifiers: Beyond classification accuracy
(IOS PRESS, 2011)
This work proposes and discusses an approach for inducing Bayesian classifiers aimed at balancing the tradeoff between the precise probability estimates produced by time consuming unrestricted Bayesian networks and the ...
Performance assessment of sequential Bayesian processors based on probably approximately correct computation and information theory
(Institution of Engineering and Technology - IET, 2018)
A novel method to characterise the efficacy and efficiency of different sequential Bayesian processor implementations is proposed. This method is based on concepts of probably approximately correct computation and information ...