This repository documents the statistical methods employed in my PhD research projects.
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Updated
May 24, 2024 - Jupyter Notebook
This repository documents the statistical methods employed in my PhD research projects.
Simulation and inference on exact solutions of coalescent distributions under diverse demographic scenarios.
Maximum-likelihood fitting of Elo scores
A High Performance Unified Framework for Geostatistics on Manycore Systems.
Test the Robustness of DAISIE to Geodynamics and Traits
Arbitrage-free Dynamic Generalized Nelson-Siegel model of interest rates following Christensen, Diebold and Rudebusch; and its estimation using the Kalman filter / maximum likelihood.
Código curso Artificial Intelligence with Python sobre cadenas de Markov y hidden Markov models para el módulo de Modelos de Inteligencia Artificial del curso de especialización en IA y Big Data del IES de Teis
Distribution Parameter Estimation
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 …
Maximum likelihood estimation with TensorFlow of the parameters of an analytical model of alchemical molecular binding
Software for maximum likelihood estimation of ARIMA models
LAML is a maximum likelihood algorithm to infer cell phylogeny from dynamic lineage tracing data
R package for maximal likelihood estimation of multivariate normal mixture models
ExTrack MLE for diffusive noisy single-particle tracks
ML Estimation for Discrete Multivariate Vasicek Processes
Statistical analysis of affine mortality models. Implementation of univariate Kalman Filter based routines for the estimation, goodness of fit assessment and projection of affine mortality models
Maximum likelihood estimation (MLE) of the location parameter of the Cauchy (Lorentzian) distribution.
Python tools for working with the IceCube public data.
Python+Rust implementation of the Probabilistic Principal Component Analysis model
Accucopy is a computational method that infers Allele-Specific Copy Number alterations from low-coverage low-purity tumor sequencing data.
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