DOIAbstract
Bayesian, posterior probability, exponential rate, f-uniform convergence, Q-uniform convergence,
Bayesian, posterior probability, exponential rate, f-uniform convergence, Q-uniform convergence,
Empirical Bayes procedures are commonly used based on the supposedasymptotic equivalence with fully ...
We consider the asymptotic behavior of posterior distributions and Bayes estimators for infinite-dim...
We consider the asymptotic behavior of posterior distributions and Bayes estimators based on observa...
In this paper some prior distributions for densities in infinitedimensional exponential families, wh...
This paper introduces a new approach to the study of rates of convergence for posterior distribution...
Rates of convergence of Bayesian nonparametric procedures are expressed as the maximum between two r...
Consider a Bayesian analysis of a parameter vector, [theta], based on n i.i.d. multivariate measurem...
We study the asymptotic behavior of posterior distributions for i.i.d. data. We present general post...
We study the rate of convergence of posterior distributions in density estimation problems for log-d...
We study the rate of convergence of posterior distributions in density estimation problems for log-d...
Two-parameter exponential, sequential confidence intervals, coverage probability, convergence rate,
Any exponential rate of convergence can be obtained for maxima of i.i.d. random variables, while fas...
A Dirichlet mixture of exponential power distributions, as a prior on densities supported on the re...
Empirical Bayes estimation, multiple linear regression model, convergence rates,
We consider the problem of estimating a compactly supported density taking a Bayesian nonparametric ...
Empirical Bayes procedures are commonly used based on the supposedasymptotic equivalence with fully ...
We consider the asymptotic behavior of posterior distributions and Bayes estimators for infinite-dim...
We consider the asymptotic behavior of posterior distributions and Bayes estimators based on observa...
In this paper some prior distributions for densities in infinitedimensional exponential families, wh...
This paper introduces a new approach to the study of rates of convergence for posterior distribution...
Rates of convergence of Bayesian nonparametric procedures are expressed as the maximum between two r...
Consider a Bayesian analysis of a parameter vector, [theta], based on n i.i.d. multivariate measurem...
We study the asymptotic behavior of posterior distributions for i.i.d. data. We present general post...
We study the rate of convergence of posterior distributions in density estimation problems for log-d...
We study the rate of convergence of posterior distributions in density estimation problems for log-d...
Two-parameter exponential, sequential confidence intervals, coverage probability, convergence rate,
Any exponential rate of convergence can be obtained for maxima of i.i.d. random variables, while fas...
A Dirichlet mixture of exponential power distributions, as a prior on densities supported on the re...
Empirical Bayes estimation, multiple linear regression model, convergence rates,
We consider the problem of estimating a compactly supported density taking a Bayesian nonparametric ...
Empirical Bayes procedures are commonly used based on the supposedasymptotic equivalence with fully ...
We consider the asymptotic behavior of posterior distributions and Bayes estimators for infinite-dim...
We consider the asymptotic behavior of posterior distributions and Bayes estimators based on observa...
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