Miramare healpix analysis tools and a composable maximum likelihood component separation technique.
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Updated
Jul 8, 2014 - Fortran
Miramare healpix analysis tools and a composable maximum likelihood component separation technique.
Partial Label Learning based on GMM
simulate funnel analysis and study the user churn rate
Automatic Differentiation Applied to the Likelihood Function for Dynamic General Equilibrium Models
A Bayesian model for click, position, and impression data
Raw files for a document demonstrating some by hand estimation of mixed models.
Text generation with LSTM and MLC
Maximum likelihood parameter estimation of colonization-extinction community models based on the theory of island biogeography (MacArthur and Wilson, 1967). Parameter estimation can be conducted with imperfect detectability.
Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate a variety of concepts, from hypothesis testing to estimation to image denoising to Kalman filtering. Feel free to use or modify for your instruction or self-study.
This script illustrates the use of the EM Algorithm in a Gaussian mixture model
Fit rates in an ion channel gating mechanism to idealized openings and closings.
A python script that takes alignment file and builds a phylogeny tree.
Texas crime distribution analysis and regression modeling
Lisp library to, given a set of data, compare models and estimate parameters using Bayesian statistics.
Gauss Naive Bayes in Python From Scratch.
Fit powerlaw distributions with a maximum-likelihood fitting procedure
Research Operations Project by Ilham (140810160021), Alif (140810160029), and Patricia (140810160065).
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