Add to ORKGThis item was digitized from a paper original and/or a microfilm copy. If you need higher-resolution...
The definition and investigation of general classes of non-parametric priors has recently been an ac...
We propose a new data-augmentation strategy for fully Bayesian inference in models with binomial lik...
Given discrete time observations over a growing time interval, we consider a nonparametric Bayesian ...
Given discrete time observations over a growing time interval, we consider a nonparametric Bayesian ...
Bayesian nonparametric inference, Dirichlet process, generalized gamma convolutions, Lauricella hype...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73242/1/1467-9868.00190.pd
http://deepblue.lib.umich.edu/bitstream/2027.42/36227/2/b1908133.0001.001.pdfhttp://deepblue.lib.umi...
A note on “Bayesian nonparametric estimators derived from conditional Gibbs structures
Notes on estimating inverse-Gaussian and gamma subordinators under high-frequency samplin
On the Origins of Suboptimality in Human Probabilistic Inference Citation for published version
Asymptotic null distribution, Bootstrap, Generalized likelihood ratio, Nonparametric test, Power fun...
<p>Gamma statistic distribution was obtained by simulating 5,000 phylogenies under a Yule model usin...
In various applications, we deal with high-dimensional positive-valued data that often exhibits spar...
International audienceGiven a sample of size n from a population of individual belonging to differen...
This item was digitized from a paper original and/or a microfilm copy. If you need higher-resolution...
The definition and investigation of general classes of non-parametric priors has recently been an ac...
We propose a new data-augmentation strategy for fully Bayesian inference in models with binomial lik...
Given discrete time observations over a growing time interval, we consider a nonparametric Bayesian ...
Given discrete time observations over a growing time interval, we consider a nonparametric Bayesian ...
Bayesian nonparametric inference, Dirichlet process, generalized gamma convolutions, Lauricella hype...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73242/1/1467-9868.00190.pd
http://deepblue.lib.umich.edu/bitstream/2027.42/36227/2/b1908133.0001.001.pdfhttp://deepblue.lib.umi...
A note on “Bayesian nonparametric estimators derived from conditional Gibbs structures
Notes on estimating inverse-Gaussian and gamma subordinators under high-frequency samplin
On the Origins of Suboptimality in Human Probabilistic Inference Citation for published version
Asymptotic null distribution, Bootstrap, Generalized likelihood ratio, Nonparametric test, Power fun...
<p>Gamma statistic distribution was obtained by simulating 5,000 phylogenies under a Yule model usin...
In various applications, we deal with high-dimensional positive-valued data that often exhibits spar...
International audienceGiven a sample of size n from a population of individual belonging to differen...
This item was digitized from a paper original and/or a microfilm copy. If you need higher-resolution...
The definition and investigation of general classes of non-parametric priors has recently been an ac...
We propose a new data-augmentation strategy for fully Bayesian inference in models with binomial lik...