maximum-likelihood-estimation

David Mackay's book review and problem solvings and own python codes, mathematica files

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Gauss Naive Bayes in Python From Scratch.

A Python implementation of Naive Bayes from scratch.

Slides and notebooks for my tutorial at PyData London 2018

A High Performance Unified Framework for Geostatistics on Manycore Systems.

🐙: Maximum likelihood model estimation using scipy.optimize

This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.

This repo contains code for GeoMLE intrinsic dimension estimation algorithm

Fit multievent capture-recapture models in R (maximum-likelihood), Nimble and JAGS (Bayesian)

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.

Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)

Spatial probit model of intra-household interactions (implemented in Stata)

Implementation of Neural Nets for Communications Channel Decoding using Log Likelihood Ratios

Accucopy is a computational method that infers Allele-specific Copy Number alterations from low-coverage low-purity tumor sequencing Data.

Python tools for working with the IceCube public data.

Jupyter notebook accompanying my talk on "Bayesian Decision Making" for DataGiri

Maths behind machine learning and some implementations from scratch.

[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic

Neyman–Pearson Detector (NPD) for saccadic eye movements

Fit Gamma-Gompertz model to capture-recapture data using data cloning

Analyze experimental tracking data using a maximum likelihood estimator (MLE) to extract translational diffusion coefficients.

Neural networks for non-linear parameter estimation in SDE with memory.

An R package to detect seperation in binary classification models using linear programming

Repository pertaining to traditional statistical methods being applied to foreground segmentation for an image of a Cheetah

Our project extends the classical models such as Vasicek and CIR to incorporate the effects of jump-risks in the market. We explore modern methods to price and calibrate such models and evaluate their pricing performance with respect to classical models and the observed market prices.

Herramientas estadísticas para la investigación

Test the Robustness of DAISIE to Geodynamics and Traits

Newton-based maximum likelihood estimation in nonlinear state space models

Maximum likelihood estimator for the fitted distribution parameters given a set of observations