Français
4. Density estimation
4.1 Classical statistical methods
Recall that density estimation is the very essence of classical statistical analysis: we start with a large number of samples x 1 ,...,x N and investigate which probability distribution these samples correspond to.
Two types of density estimation methods can be distinguished in the low-dimensional field: parametric and non-parametric.
With parametric methods, we think we know in advance the general structure of the density function p θ (x) we're looking for, but this function depends on a certain number of parameters θ, and we try to fix the value of these parameters...
The Ultimate Scientific and Technical Reference
This article is included in
Software technologies and System architectures
This offer includes:
Knowledge Base
Updated and enriched with articles validated by our scientific committees
Services
A set of exclusive tools to complement the resources
Practical Path
Operational and didactic, to guarantee the acquisition of transversal skills
Doc & Quiz
Interactive articles with quizzes, for constructive reading
Density estimation
Generative models
Bibliography
Software tools
For computations that do not involve deep learning and that deal with data volumes that do not require the use of distributed computing, the two reference software tools are scikit-learn and R
The Spark Mlib library adapts the main machine learning algorithms (excluding deep learning) to a distributed environment, enabling the processing of very large volumes of data.
Deep...
Events
Annual conferences :
International Conference on Learning Representations ( https://iclr.cc/ )
Conference on Neural Information Processing Systems ( https://nips.cc/ )
Conference on Computer Vision and...
The Ultimate Scientific and Technical Reference
