On the Frequentist Properties of Bayesian Nonparametric Methods

By Judith Rousseau. 2016

45 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability, Probabilistic & Bayesian Methods

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Pierre Alquier
2. Olivier Catoni
3. Matthieu Lerasle
4. Roberto Imbuzeiro Oliveira

In Statistics and Probability

1. Pierre Alquier
2. Olivier Catoni
3. Matthieu Lerasle
4. Roberto Imbuzeiro Oliveira

In Probabilistic & Bayesian Methods

1. Pierre Alquier

Citations in the corpus

• PAC-Bayesian Theory Meets Bayesian Inference (2016, neutral): “[26], Meir and Zhang [35], Ng and Jordan [36], Rousseau [40] for other studies drawing links between frequentist statistics and Bayesian inference, but outside the PAC-Bayesian framework.”
• User-friendly introduction to PAC-Bayes bounds (2021, background): “We refer the reader to [170, 83] on this topic, see also [23] on high-dimensional models specifically.”