Improved pseudolikelihood regularization and decimation methods on non-linearly interacting systems with continuous variables
We propose and test improvements to state-of-the-art techniques of Bayeasian statistical inference based on pseudolikelihood maximization with $\ell_1$ regularization and with decimation. In particular, we present a method to determine the best value of the regularizer parameter starting from a...
Main Author: | Alessia Marruzzo, Payal Tyagi, Fabrizio Antenucci, Andrea Pagnani, Luca Leuzzi |
---|---|
Format: | Article |
Language: | English |
Published: |
SciPost
2018-07-01
|
Series: | SciPost Physics |
Online Access: | https://scipost.org/SciPostPhys.5.1.002 |
Similar Items
-
Inverse problem for multi-body interaction of nonlinear waves
by: Alessia Marruzzo, et al.
Published: (2017-06-01) -
Randomised Pseudolikelihood Ratio Change Point Estimator in Garch Models
by: George Awiakye-Marfo, et al.
Published: (2020-01-01) -
Inferring Phylogenetic Networks with Maximum Pseudolikelihood under Incomplete Lineage Sorting.
by: Claudia Solís-Lemus, et al.
Published: (2016-03-01) -
Detecting contacts in protein folds by solving the inverse Potts problem - a pseudolikelihood approach
by: Ekeberg, Magnus
Published: (2012) -
Procedure of linear decimation in car suspension diagnosis
by: Paweł SOBCZAK
Published: (2009-01-01)