Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/
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Updated
Dec 27, 2023 - Python
Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
David Mackay's book review and problem solvings and own python codes, mathematica files
This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.
Gauss Naive Bayes in Python From Scratch.
Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
A Python implementation of Naive Bayes from scratch.
A High Performance Unified Framework for Geostatistics on Manycore Systems.
Python+Rust implementation of the Probabilistic Principal Component Analysis model
A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN) in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et al. (2011, 2012). Implementations of various …
Slides and notebooks for my tutorial at PyData London 2018
🐙: Maximum likelihood model estimation using scipy.optimize
This repo contains code for GeoMLE intrinsic dimension estimation algorithm
Accucopy is a computational method that infers Allele-Specific Copy Number alterations from low-coverage low-purity tumor sequencing data.
Implementation of Neural Nets for Communications Channel Decoding using Log Likelihood Ratios
Python tools for working with the IceCube public data.
B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.
Fit multievent capture-recapture models in R (maximum-likelihood), Nimble and JAGS (Bayesian)
ExTrack MLE for diffusive noisy single-particle tracks
This repository has scripts and other files that are part of the lecture notes and assignments of the course "Advanced Statistical Inference" taught at FME, UPC Barcelonatech.
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