Simulation and Inference for Stochastic Processes with YUIMA
DOI10.1007/978-3-319-55569-0zbMath1458.60004OpenAlexW4230352642MaRDI QIDQ3174849
Nakahiro Yoshida, Stefano Maria Iacus
Publication date: 18 July 2018
Published in: Use R! (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-55569-0
samplingstochastic differential equationsimulationLévy processesWiener processtime seriesfractional Brownian motiondiffusion processcompound Poisson processsimulation modelsparametric inferencechange point estimationmultidimensional compound Poisson processCARMA modelsgeneralised hyperbolic processasynchronous covariance estimationCOGARCH modelslead-lag estimationtime stampsYUIMA package
Theory of programming languages (68N15) Research exposition (monographs, survey articles) pertaining to probability theory (60-02) Foundations of stochastic processes (60G05) Software, source code, etc. for problems pertaining to probability theory (60-04)
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