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Publications by Joaquín Míguez
Bayesian Computation Methods for Inference in Stochastic Kinetic Models
Complexity
Multidisciplinary
Computer Science
Monte Carlo Method for Adaptively Estimating the Unknown Parameters and the Dynamic State of Chaotic Systems
Physical Review E
Related publications
A Tutorial Introduction to Bayesian Inference for Stochastic Epidemic Models Using Approximate Bayesian Computation
Mathematical Biosciences
Statistics
Genetics
Probability
Molecular Biology
Biochemistry
Applied Mathematics
Microbiology
Simulation
Immunology
Biological Sciences
Medicine
Agricultural
Modeling
Approximate Bayesian Computation Schemes for Parameter Inference of Discrete Stochastic Models Using Simulated Likelihood Density
BMC Bioinformatics
Biochemistry
Applied Mathematics
Computer Science Applications
Structural Biology
Molecular Biology
On Efficient Bayesian Inference for Models With Stochastic Volatility
SSRN Electronic Journal
Bayesian Inference of Asymmetric Stochastic Conditional Duration Models
Journal of Statistical Computation and Simulation
Statistics
Probability
Applied Mathematics
Uncertainty
Simulation
Modeling
Resolving Outbreak Dynamics Using Approximate Bayesian Computation for Stochastic Birth–death Models
Wellcome Open Research
Biochemistry
Medicine
Genetics
Molecular Biology
Semiparametric Bayesian Inference for Regression Models
Canadian Journal of Statistics
Uncertainty
Statistics
Probability
Sparse Factorization Methods for Inference in Bayesian Networks
Robust Bayesian Inference for Set-Identified Models
Bayesian Inference for Sparse Generalized Linear Models
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
