Pages that link to "Item:Q4468379"
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The following pages link to Asymptotic Normality of Semiparametric and Nonparametric Posterior Distributions (Q4468379):
Displaying 38 items.
- Finite sample Bernstein-von Mises theorem for semiparametric problems (Q273627) (← links)
- The Bernstein-von Mises theorem for the proportional hazard model (Q449942) (← links)
- The semiparametric Bernstein-von Mises theorem (Q450029) (← links)
- Critical dimension in the semiparametric Bernstein-von Mises theorem (Q492184) (← links)
- Durbin's random substitution and conditional Monte Carlo (Q601771) (← links)
- Bernstein-von Mises theorems for Gaussian regression with increasing number of regressors (Q661171) (← links)
- A semiparametric Bernstein-von Mises theorem for Gaussian process priors (Q664347) (← links)
- Bernstein-von Mises theorem for linear functionals of the density (Q693733) (← links)
- Functional inference in semiparametric models using the piggyback bootstrap (Q816375) (← links)
- Bayesian frequentist hybrid inference (Q834347) (← links)
- A Bernstein-von Mises theorem for smooth functionals in semiparametric models (Q892238) (← links)
- Higher order semiparametric frequentist inference with the profile sampler (Q939664) (← links)
- General frequentist properties of the posterior profile distribution (Q939665) (← links)
- Convergence rates of posterior distributions for non iid observations (Q997377) (← links)
- The penalized profile sampler (Q1000565) (← links)
- Asymptotic Bayesian analysis based on a limited information estimator (Q1305680) (← links)
- Efficient semiparametric estimation and model selection for multidimensional mixtures (Q1746537) (← links)
- On Bayesian oracle properties (Q1757672) (← links)
- Modern Bayesian asymptotics (Q1766318) (← links)
- Semiparametric Bernstein-von Mises for the error standard deviation (Q1951109) (← links)
- On the Bernstein-von Mises phenomenon in the Gaussian white noise model (Q1952190) (← links)
- Bayesian inference for partially identified smooth convex models (Q2000867) (← links)
- Bayesian fixed-domain asymptotics for covariance parameters in a Gaussian process model (Q2112815) (← links)
- Frequentist properties of Bayesian inequality tests (Q2225020) (← links)
- Bayesian variance estimation in the Gaussian sequence model with partial information on the means (Q2286367) (← links)
- Bayesian regression with nonparametric heteroskedasticity (Q2343818) (← links)
- On the computational complexity of MCMC-based estimators in large samples (Q2388988) (← links)
- Semiparametric Bernstein-von Mises theorem and bias, illustrated with Gaussian process priors (Q2392501) (← links)
- Bayesian regression with heteroscedastic error density and parametric mean function (Q2512628) (← links)
- Nonasymptotic approach to Bayesian semiparametric inference (Q2631198) (← links)
- On the asymptotic normality of the posterior distribution. (Q2744584) (← links)
- Generalized Additive Models with Interval-Censored Data and Time-Varying Covariates: Application to Human Immunodeficiency Virus Infection in Hemophiliacs (Q3078969) (← links)
- On some aspects of the asymptotic properties of Bayesian approaches in nonparametric and semiparametric models (Q3451715) (← links)
- Asymptotic normality of the posterior given a statistic (Q4652914) (← links)
- (Q5159450) (← links)
- Construction of credible intervals for nonlinear regression models with unknown error distributions (Q5240633) (← links)
- Classical \(p\)-values and the Bayesian posterior probability that the hypothesis is approximately true (Q6118722) (← links)
- High-dimensional Bernstein-von Mises theorem for the Diaconis-Ylvisaker prior (Q6189155) (← links)
