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Parametric inference for stochastic differential equations: a smooth and match approach

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Publication:2863818
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zbMath1277.62195arXiv1111.1120MaRDI QIDQ2863818

Peter Spreij, Shota Gugushvili

Publication date: 4 December 2013

Full work available at URL: https://arxiv.org/abs/1111.1120


zbMATH Keywords

stochastic differential equationasymptotic normalityM-estimatorsdiffusion processeskernel density estimators\(\sqrt{n}\)-consistencysmooth estimatorsmatch estimators


Mathematics Subject Classification ID

Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).


Related Items (5)

Nonparametric Bayesian methods for one-dimensional diffusion models ⋮ Variance reduction estimation for return models with jumps using gamma asymmetric kernels ⋮ Time-course window estimator for ordinary differential equations linear in the parameters ⋮ Optimal rate of direct estimators in systems of ordinary differential equations linear in functions of the parameters ⋮ Bias Correction Estimation for a Continuous‐Time Asset Return Model with Jumps




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