Using a Bayesian Poisson model and sampling with Monte Carlo simulations to analyze whether men with a bachelor's degree have fewer children on average than those without, while accounting for potential overdispersion and model fit.
Differentiable Probabilistic Models
Includes multiple Scientific Computing & Algorithm Building Applications like Root Finding, Cost Minimization, Monte Carlo Approximation, Random Walk, Signal Strength Analysis, Class Architecture applications etc.
Project created during my studies at the university when I was attending two semestral courses about OOP in C++. It provides various mathematical formulas and numerical algorithm implementations to approximate the pi number.
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