Pages that link to "Item:Q2196225"
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The following pages link to Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions (Q2196225):
Displaying 27 items.
- Multiscale Bayesian Survival Analysis (Q128917) (← links)
- Parametric models for statistical simulation of nonhomogeneous random vector fields (Q806162) (← links)
- Drift estimation on non compact support for diffusion models (Q2021393) (← links)
- On the Bernstein-von Mises theorem for the Dirichlet process (Q2044376) (← links)
- Posterior contraction and credible regions for level sets (Q2044392) (← links)
- Statistical guarantees for Bayesian uncertainty quantification in nonlinear inverse problems with Gaussian process priors (Q2073706) (← links)
- Uncertainty quantification for Bayesian CART (Q2073718) (← links)
- Spectral thresholding for the estimation of Markov chain transition operators (Q2074325) (← links)
- Error bounds of the invariant statistics in machine learning of ergodic Itô diffusions (Q2077623) (← links)
- Adaptive invariant density estimation for continuous-time mixing Markov processes under sup-norm risk (Q2083865) (← links)
- Nonparametric Bayesian inference for reversible multidimensional diffusions (Q2105199) (← links)
- Optional Pólya trees: posterior rates and uncertainty quantification (Q2106798) (← links)
- Sup-norm adaptive drift estimation for multivariate nonreversible diffusions (Q2112825) (← links)
- Learning interaction kernels in stochastic systems of interacting particles from multiple trajectories (Q2162118) (← links)
- Hyperparameter estimation in Bayesian MAP estimation: parameterizations and consistency (Q2188103) (← links)
- Bernstein-von Mises theorems for statistical inverse problems. II: Compound Poisson processes (Q2326066) (← links)
- Bernstein--von Mises Theorems and Uncertainty Quantification for Linear Inverse Problems (Q4960994) (← links)
- Variational Bayes for High-Dimensional Linear Regression With Sparse Priors (Q5881133) (← links)
- Flexible Bayesian inference for diffusion processesusing splines (Q6087239) (← links)
- Drift estimation for a multi-dimensional diffusion process using deep neural networks (Q6123258) (← links)
- Donsker theorems for occupation measures of multi-dimensional periodic diffusions (Q6177610) (← links)
- On some information-theoretic aspects of non-linear statistical inverse problems (Q6200222) (← links)
- Consistent inference for diffusions from low frequency measurements (Q6550965) (← links)
- Parametric inference for ergodic McKean-Vlasov stochastic differential equations (Q6565310) (← links)
- On posterior consistency of data assimilation with Gaussian process priors: the 2D-Navier-Stokes equations (Q6621548) (← links)
- On log-concave approximations of high-dimensional posterior measures and stability properties in non-linear inverse problems (Q6663951) (← links)
- Inference for ergodic McKean-Vlasov stochastic differential equations with polynomial interactions (Q6663952) (← links)
