Bayesian Computation Methods for Inference in Stochastic Kinetic Models

Complexity - Egypt
doi 10.1155/2019/7160934
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Hindawi Limited

Related search

A Tutorial Introduction to Bayesian Inference for Stochastic Epidemic Models Using Approximate Bayesian Computation

Mathematical Biosciences
StatisticsGeneticsProbabilityMolecular BiologyBiochemistryApplied MathematicsMicrobiology SimulationImmunologyBiological SciencesMedicineAgriculturalModeling
2017English

Approximate Bayesian Computation Schemes for Parameter Inference of Discrete Stochastic Models Using Simulated Likelihood Density

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2014English

On Efficient Bayesian Inference for Models With Stochastic Volatility

SSRN Electronic Journal
2016English

Bayesian Inference of Asymmetric Stochastic Conditional Duration Models

Journal of Statistical Computation and Simulation
StatisticsProbabilityApplied MathematicsUncertaintySimulationModeling
2015English

Resolving Outbreak Dynamics Using Approximate Bayesian Computation for Stochastic Birth–death Models

Wellcome Open Research
BiochemistryMedicineGeneticsMolecular Biology
2019English

Semiparametric Bayesian Inference for Regression Models

Canadian Journal of Statistics
UncertaintyStatisticsProbability
1999English

Sparse Factorization Methods for Inference in Bayesian Networks

2008English

Robust Bayesian Inference for Set-Identified Models

2020English

Bayesian Inference for Sparse Generalized Linear Models

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy