Revisiting the historical scenario of a disease dissemination using genetic data and Approximate Bayesian Computation methodology: The case of Pseudocercospora fijiensis invasion in Africa
Sign Up to like & getrecommendations! Published in 2023 at "Ecology and Evolution"
DOI: 10.1002/ece3.10013
Abstract: Abstract The reconstruction of geographic and demographic scenarios of dissemination for invasive pathogens of crops is a key step toward improving the management of emerging infectious diseases. Nowadays, the reconstruction of biological invasions typically uses… read more here.
Keywords: methodology; disease; approximate bayesian; bayesian computation ... See more keywords
The use of a single pseudo-sample in approximate Bayesian computation
Sign Up to like & getrecommendations! Published in 2017 at "Statistics and Computing"
DOI: 10.1007/s11222-016-9640-7
Abstract: We analyze the computational efficiency of approximate Bayesian computation (ABC), which approximates a likelihood function by drawing pseudo-samples from the associated model. For the rejection sampling version of ABC, it is known that multiple pseudo-samples… read more here.
Keywords: pseudo; bayesian computation; approximate bayesian; single pseudo ... See more keywords
Kernel-density estimation and approximate Bayesian computation for flexible epidemiological model fitting in Python
Sign Up to like & getrecommendations! Published in 2018 at "Epidemics"
DOI: 10.1016/j.epidem.2018.05.009
Abstract: Fitting complex models to epidemiological data is a challenging problem: methodologies can be inaccessible to all but specialists, there may be challenges in adequately describing uncertainty in model fitting, the complex models may take a… read more here.
Keywords: kernel density; density estimation; bayesian computation; approximate bayesian ... See more keywords
A new POD-based approximate bayesian computation method to identify parameters for formed AHSS
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Solids and Structures"
DOI: 10.1016/j.ijsolstr.2018.10.020
Abstract: Abstract Forming has significant influence on the material properties which are critical for the accuracy of simulations. However, at present, most of the existing works took the uniform raw mechanical properties of plate as the… read more here.
Keywords: bayesian computation; material properties; pod; material ... See more keywords
Approximate Bayesian computation applied to the identification of thermal damage of biological tissues due to laser irradiation
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Thermal Sciences"
DOI: 10.1016/j.ijthermalsci.2019.106243
Abstract: Abstract This paper deals with the solution of an inverse bioheat transfer problem, by using Approximate Bayesian Computation (ABC). A Sequential Monte Carlo (SMC) method is applied for simultaneous model selection and model calibration (estimation… read more here.
Keywords: thermal damage; bayesian computation; approximate bayesian; damage ... See more keywords
Probabilistic damage identification incorporating approximate Bayesian computation with stochastic response surface
Sign Up to like & getrecommendations! Published in 2019 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2019.03.044
Abstract: Abstract Compared with classic probability or statistical theories, Bayesian inference could be a better option for real-world damage identification problems since it can simultaneously utilize both prior knowledge and current measurements of a structure. However… read more here.
Keywords: damage identification; bayesian computation; damage; stochastic response ... See more keywords
Modeling SNP array ascertainment with Approximate Bayesian Computation for demographic inference
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-28539-y
Abstract: Single nucleotide polymorphisms (SNPs) in commercial arrays have often been discovered in a small number of samples from selected populations. This ascertainment skews patterns of nucleotide diversity and affects population genetic inferences. We propose a… read more here.
Keywords: snp array; demographic inference; bayesian computation; approximate bayesian ... See more keywords
Modelling rapid online cultural transmission: evaluating neutral models on Twitter data with approximate Bayesian computation
Sign Up to like & getrecommendations! Published in 2019 at "Palgrave Communications"
DOI: 10.1057/s41599-019-0295-9
Abstract: As social media technologies alter the variation, transmission and sorting of online information, short-term cultural evolution is transformed. In these media contexts, cultural evolution is an intra-generational process with much ‘horizontal’ transmission. As a pertinent… read more here.
Keywords: neutral models; information; transmission; twitter data ... See more keywords
Random Forest Adjustment for Approximate Bayesian Computation
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2021.1981341
Abstract: Abstract We propose a novel method for regression adjustment in approximate Bayesian computation to help improve the accuracy and computational efficiency of the posterior inference. The proposed method uses random forest regression to model the… read more here.
Keywords: approximate bayesian; random forest; bayesian computation; adjustment approximate ... See more keywords
Approximate Bayesian evaluations of measurement uncertainty
Sign Up to like & getrecommendations! Published in 2018 at "Metrologia"
DOI: 10.1088/1681-7575/aaa5be
Abstract: The Guide to the Expression of Uncertainty in Measurement (GUM) includes formulas that produce an estimate of a scalar output quantity that is a function of several input quantities, and an approximate evaluation of the… read more here.
Keywords: evaluations measurement; output quantity; uncertainty; bayesian evaluations ... See more keywords
A Service-Oriented Platform for Approximate Bayesian Computation in Population Genetics.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Computational Biology"
DOI: 10.1089/cmb.2018.0217
Abstract: Abstract Approximate Bayesian computation (ABC) is a useful technique developed for solving Bayesian inference without explicitly requiring a likelihood function. In population genetics, it is wide... read more here.
Keywords: population genetics; approximate bayesian; genetics; bayesian computation ... See more keywords