Pages that link to "Item:Q2426812"
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The following pages link to Bayesian inference with rescaled Gaussian process priors (Q2426812):
Displaying 35 items.
- Uniform consistency of \(k\mathrm{NN}\) regressors for functional variables (Q383851) (← links)
- Lower bound for the oracle projection posterior convergence rate (Q624990) (← links)
- Bayesian inverse problems with Gaussian priors (Q661174) (← links)
- Adaptive Bayesian estimation using a Gaussian random field with inverse gamma bandwidth (Q834358) (← links)
- Rates of convergence for the posterior distributions of mixtures of betas and adaptive nonparametric estimation of the density (Q847631) (← links)
- Adaptive Bayesian inference in the Gaussian sequence model using exponential-variance priors (Q893967) (← links)
- Adaptive Bayesian credible sets in regression with a Gaussian process prior (Q895012) (← links)
- Credible sets in the fixed design model with Brownian motion prior (Q899539) (← links)
- Bayesian adaptation (Q899540) (← links)
- Rates of contraction of posterior distributions based on Gaussian process priors (Q930663) (← links)
- Rate of uniform consistency for nonparametric estimates with functional variables (Q1039469) (← links)
- Regularity of Gaussian processes on Dirichlet spaces (Q1745366) (← links)
- Lower bound in regression for functional data by representation of small ball probabilities (Q1950878) (← links)
- Empirical Bayes scaling of Gaussian priors in the white noise model (Q1951145) (← links)
- Bayesian inference of random fields represented with the Karhunen-Loève expansion (Q1989096) (← links)
- Rates of contraction of posterior distributions based on \(p\)-exponential priors (Q2040080) (← links)
- Uniform consistency and uniform in number of neighbors consistency for nonparametric regression estimates and conditional \(U\)-statistics involving functional data (Q2103273) (← links)
- Nonparametric Bayesian inference for reversible multidimensional diffusions (Q2105199) (← links)
- Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors (Q2195831) (← links)
- Adaptive Bayesian credible bands in regression with a Gaussian process prior (Q2206753) (← links)
- Semiparametric Bayesian causal inference (Q2215769) (← links)
- Bayesian inference in nonparanormal graphical models (Q2226690) (← links)
- Small ball probabilities, metric entropy and Gaussian rough paths (Q2235831) (← links)
- Adaptive Bayesian nonparametric regression using a kernel mixture of polynomials with application to partial linear models (Q2297237) (← links)
- Posterior contraction rates for the Bayesian approach to linear ill-posed inverse problems (Q2447734) (← links)
- Small deviation probability via chaining (Q2518620) (← links)
- Adaptive Bayesian Procedures Using Random Series Priors (Q3460673) (← links)
- Posterior contraction in Gaussian process regression using Wasserstein approximations (Q4603714) (← links)
- Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors (Q5057082) (← links)
- A scalable approximate Bayesian inference for high-dimensional Gaussian processes (Q5095985) (← links)
- An asymptotic analysis of distributed nonparametric methods (Q5214170) (← links)
- Bayesian sieve methods: approximation rates and adaptive posterior contraction rates (Q5375954) (← links)
- Can We Trust Bayesian Uncertainty Quantification from Gaussian Process Priors with Squared Exponential Covariance Kernel? (Q5858422) (← links)
- Rate exact Bayesian adaptation with modified block priors (Q5963524) (← links)
- Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression (Q6184877) (← links)
