There are 1 repository under non-linear-model topic.
Python implementation of non-linear 6DOF GARTEUR RCAM aircraft flight dynamics model
This repository contains the code to reproduce the results in the paper Quantum Splines for Non-Linear Approximation, under publication for the ACM International Conference on Computing Frontiers 2020.
Bias reduced fixed effect generalized linear models
The Extended Kalman filter MATLAB Toolbox for robotics. The repository contains a sample simulation and report for building understanding of the EKF algorithm.
Framework provides abstractions for fast mathematical model implementation based on tensor-vector and array calculus
This suite is an ensemble of codes developed to conduct a vibration analysis of a assembled structure.
this code uses Finite Difference Method to solve the function: sin(x) * exp(-t)
Project showcasing data management and analysis skills with a functional response dataset
Working through all the exercises for An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.
OLS. R and Python. In this project, we study fundamental concepts of Supervised ML models, such as Regression Analysis: Coefficient of Model Adjustment (R²), Parameters Estimation ,Statistical Significance of the Model (F test, T test) ,Multiple Regression , Qualitative Explanatory Variables (X) , heteroscedasticity and etc.
I have studied this course as a part of Masters in Automation Program from university of Gävle. Including my assignment solutions and the final project work in this repository.
This repository includes the R code and data used in the analysis for the main manuscript of the paper. The cleaned data file consists of the data for only the 104 incident infections used. The ped.RDS file is an R data file for the piece-wise exponential data formulation of the survival data for the competing risks analysis. The descriptives file consists of all descriptive analyses conducted in the study whether included or not. The gametocyte incidence file consists of the R code for the competing risks analysis for gametocyte incidence and malaria clearance. The Clearance Kaplan-Meier is the file used to capture the Kaplan-Meier of the time to clearance of parasites (Table 2). The parasite density, gametocyte density, gametocyte fraction file are the R codes for the longitudinal non-linear mixed effects models and should be executed in that order. .
Cervical Cancer detection using linear and non-linear machine learning algorithms
Bounded horizon Taylor expansion based reachability analysis for non-linear continuous systems
Discussion about Probabilities, Classification and Zipf's law