Search Results - "Bayesian Inference"
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1
Declarative modelling for Bayesian inference by shallow embedding
Published 2014Subjects: “…Bayesian inference…”
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Generalisation of prior information for rapid Bayesian time estimation
Published 2016Subjects: “…Bayesian inference…”
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GARCH dependence in extreme value models with Bayesian inference
Published 2011Subjects: Get full text
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Topics in Bayesian inference and model assessment for partially observed stochastic epidemic models
Published 2020Subjects: “…Bayesian inference…”
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Estimating matrix travel light vehicle observations by volume sleeve approach inference bayes
Published 2016Subjects: “…Transportation; Bayesian inference; Prior; Posterior; Origin destination…”
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New mathematical approaches to the quantification of uncertainty affecting the measurement of U-value
Published 2017Subjects: “…Bayesian inference…”
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Reconstructing transmission trees for communicable diseases using densely sampled genetic data
Published 2016Subjects: “…Bayesian inference…”
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Bayesian Inference for Stochastic Epidemic Models using Markov chain Monte Carlo Methods
Published 2004Subjects: “…Bayesian Inference…”
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9
Exact Bayesian inference for the Bingham distribution
Published 2016Subjects: “…Directional statistics; Bayesian inference; Markov Chain Monte Carlo; Doubly intractable distributions…”
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Modelling and Bayesian analysis of the Abakaliki smallpox data
Published 2017Subjects: “…Smallpox; Bayesian inference; Markov chain Monte Carlo; Stochastic epidemic model; Abakaliki…”
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A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation
Published 2017Subjects: “…Bayesian inference; Epidemics; Stochastic epidemic models; Approximate Bayesian Computation; Population Monte Carlo…”
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12
Kalman-like Inversion with ODE/SDE Formulations and Adaptive Algorithms
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Efficient SMC2 schemes for stochastic kinetic models
Published 2017Subjects: “…Auxiliary particle filter (APF); Bayesian inference; Markov jump process (MJP); Sequential Monte Carlo (SMC); Stochastic kinetic model (SKM)…”
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On noise, uncertainty and inference for computational diffusion MRI
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Models and methods to integrate epidemiological and whole genome sequence data for effectively analysing infectious disease outbreak data
Published 2024Subjects: “…stochastic epidemic models; bayesian inference; genetic data; transmission trees; mrsa; foot and mouth disease; pairwise genetic distance data; who infected whom…”
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Estimation of parameters in mean-reverting stochastic systems
Published 2014Subjects: “…inference engines - Bayesian inference…”
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