GitHub

Firth-penalized models in Python:

Firth penalization reduces small-sample bias and produces finite estimates even when standard MLE fails due to (quasi-)complete separation or monotone likelihood. Standard maximum-likelihood logistic ...
GitHub

Biogeme is an open source freeware designed for the maximum likelihood estimation of parametric models in general, with a special emphasis on discrete choice models.

Biogeme requires Python >= 3.10 and can be installed from PyPI. pip install biogeme Installing Biogeme from source can be done after cloning the repository with the ...
C&EN

Systematic Estimation of Noise Statistics for Nonlinear State Estimators by Parametric Uncertainty

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. An easy-to-implement noise estimation method for tuning state estimators is proposed.
C&EN

Inclusion of Control Data in Fits to Concentration–Response Curves Improves Estimates of Half-Maximal Concentrations

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Concentration–response curves, in which the effect of varying the concentration on the ...
IEEE

A Python Code For Maximum Likelihood Estimation Of The Location And Scale Parameters Of The Truncated Normal Distribution

Abstract: Extracellular neural recordings obtained from chronically implanted microelectrode arrays are widely used in behavioral neurophysiology and invasive brain-machine interfaces. After the raw ...
PNAS

Likelihood-based non-Markovian models from molecular dynamics

The analysis of complex systems with many degrees of freedom generally involves the definition of low-dimensional collective variables more amenable to physical understanding. Their dynamics can be ...
The Earth Institute Columbia University

Type 2 signal detection theory analysis using meta-d'

Page last updated July 23 2020 (added Fermín Travi's adaptation of Alan Lee's Python scripts for response-specific meta-d' analysis) The original version of this webpage is archived here. MATLAB files ...