Nonparametric Bayesian inference for stochastic processes with piecewise constant priors
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Publication:6630469
DOI10.1007/978-3-031-47417-0_28MaRDI QIDQ6630469
Denis Belomestny, Frank van der Meulen, Peter Spreij
Publication date: 31 October 2024
stochastic differential equationpoint processGibbs samplerdiffusion coefficientdispersion coefficientvolatilitymicrostructure noisenonparametric Bayesian estimationLévy density(inverse)gamma Markov chain priorgamma-type subordinators
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Cites Work
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- Nonparametric Bayesian estimation of a Hölder continuous diffusion coefficient
- Statistical inference for spatial Poisson processes
- Minimax estimation of the diffusion coefficient through irregular samplings
- Estimation for nonhomogeneous Poisson processes from aggregated data
- A review of Bayesian asymptotics in general insurance applications
- Convergence rates of posterior distributions.
- Nonparametric Bayesian inference for Gamma-type Lévy subordinators
- Spot volatility estimation using delta sequences
- Fluctuations of Lévy processes with applications. Introductory lectures
- Nonparametric Bayesian volatility estimation for gamma-driven stochastic differential equations
- A theory of the term structure of interest rates
- Adapting to Unknown Smoothness via Wavelet Shrinkage
- On Rates of Convergence for Bayesian Density Estimation
- Conjugate Gamma Markov Random Fields for Modelling Nonstationary Sources
- The Calculation of Posterior Distributions by Data Augmentation
- Dirichlet process mixture models for insurance loss data
- Bayesian Measures of Model Complexity and Fit
- Dynamic Linear Models with R
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
- Fundamentals of Nonparametric Bayesian Inference
- Weak solutions to gamma-driven stochastic differential equations
- Nonparametric Bayesian volatility learning under microstructure noise
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