Trimmed L-moments and L-comoments for robust statistics.
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Updated
Dec 15, 2025 - Python
Trimmed L-moments and L-comoments for robust statistics.
Numerical Analysis Projects
Fitting a 3D ellipsoid to an arbitrary 3D shape for RVE evaluation.
Jax based probability modelling
A set of modules for processing data from the Interstellar Dust Experiment (IDEX) aboard NASA's Interstellar Mapping and Acceleration Probe (IMAP) mission. For more information, please don't hesitate to reach out to Ethan.Ayari@lasp.colorado.edu. Visit https://imap.princeton.edu to learn more.
Double-Double Statistic Implements
When dealing with any type of dataset it is important to create a probabilistic model of the data which would help to understand the dataset. The probabilistic model uses probability distribution which assists in explaining about dataset with the implementation of random processes. The main reason for this blog is that in recent years there has …
Codes I created, in python, to fit to supplied data sets and the like
Outputs a specified amount of data that corresponds to a user-inputted standard deviation. Currently only supported for data from a symmetric Gaussian Distribution.
Computational framework for Bézier distributions: fitting to empirical data and compute convolutions.
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