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This post is the third and final post in our series on quadcopter simulation.

This post is the second post in our series on quadcopter simulation.

In this post, we build a simple simulation of a 2D (planar) quadcopter, a type of drone with four propellers.

In this post we will get our hands dirty and use the concepts we learned in “What is the ELBO in Variational Inference?”

Bayesian Inference The three main objects of Bayesian inference In Bayesian Inference, there are three main objects we want to study: The distribution of observations \(y \sim Y\).

Introduction This notebook shows that the volatility smile is a caused by the excess kurtosis (the “fat tails”) of the log-returns distribution.

# | code-fold: true import numpy as np import pandas as pd import QuantLib as ql import seaborn as sns import yfinance as yf from scipy.optimize import minimize_scalar from scipy.stats import norm # | code-fold: true import matplotlib.pyplot as plt %con…

Full code available at github.com/mrandri19/smolppl/tree/sampling Introduction This post is the continuation of “A probabilistic programming language in 70 lines of Python”.

Full code available at github.com/mrandri19/smolppl The continuation to this post, called “Predictive sampling and graph traversals” is now available!

Target Reader/Required Knowledge This post is an introduction to conjugate priors in the context of linear regression.