🔢 Python module that calculates probabilities for a random walk in 1-dimensional discrete state space
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Updated
May 6, 2022 - Python
🔢 Python module that calculates probabilities for a random walk in 1-dimensional discrete state space
This script presents a simple stochastic description to model cell population distribution in the phases of the cell cycle
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.
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.
Application of the ARIMA model to forecast PET patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahawalnagar District, Punjab, Pakistan.
Implementing Stochastic Models in Queuing Theory
Supporting material for the paper "The impact of past vaccination coverage and immunity on pertussis resurgence", M. Domenech de Cellès, F. M. G. Magpantay, A. A. King, and P. Rohani, Science Translational Medicine 10(434): eaaj1748, 2018. https://doi.org/10.1126/scitranslmed.aaj1748
Bayesian inference of stochastic cellular processes with and without memory in Python.
Modeling of Time-varying Wireless Communication Channel with Fading and Shadowing
C# pricer that allows users to price a wide range of financial products.
Adaptive Signal Processing (2020 Fall)
Code and data files necessary for reproducing cellular-automaton model of human spread across Sahul
Weather Generators with Bayesian Networks
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
3rd Annual Undergraduate Quantitative Biology (UQ-bio) Summer School
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.
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.
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