 |
VOOZH | about |
A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem
Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics and Machine-Learning, Artificial Intelligence (AI), Financial Engineering, Optimization, Stochastic Modelling, Time-Series forecasting, Science in general... and more.
Stochastic SIR models; adding age-structures and social contact data for the spread of covid-19. Lattice model for identifying and isolating hotspots. This has been further developed into a network(graph) of multiple clusters(lattices) and tracing the infection in such a population.
3rd Annual Undergraduate Quantitative Biology (UQ-bio) Summer School
Stochastic processes insights from VAE. Code for the paper: Learning minimal representations of stochastic processes with variational autoencoders.
Classical models implemented from a Markov operator's perspective
Weather Generators with Bayesian Networks
Code and data files necessary for reproducing cellular-automaton model of human spread across Sahul
Adaptive Signal Processing (2020 Fall)
Modeling of Time-varying Wireless Communication Channel with Fading and Shadowing
Application of the ARIMA model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahawalnagar District, Punjab, Pakistan.
Bayesian inference of stochastic cellular processes with and without memory in Python.
Application of the ETS model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahwalnagar District, Punjab, Pakistan.
This repository contains codes developed in 2022 to simulate the biofilm formation with the proposed stochastic model based on quorum sensing and chemical reactions.
This script presents a simple stochastic description to model cell population distribution in the phases of the cell cycle
Comparative Analysis of European Option Pricing using Binomial Trees and Black-Scholes Model
🔢 Python module that calculates probabilities for a random walk in 1-dimensional discrete state space
Queueing simulation using stochastic models (Pollaczek Khinchine formula)
Add a description, image, and links to the stochastic-models topic page so that developers can more easily learn about it.
To associate your repository with the stochastic-models topic, visit your repo's landing page and select "manage topics."