Art
#688: Probability Theory — CLT, Bayes, Markov, Poisson, Monte Carlo, Birthday
Six visualizations of the mathematics of uncertainty:
→ CLT convergence: sum of n=1,2,4,8,16 uniform RVs → Gaussian
→ Bayesian updating: Beta posterior concentrates around true coin bias after 40 flips
→ Markov chain: 3-state weather model converging to stationary distribution π
→ Poisson process: arrivals at λ=5/unit vs PMF P(k;λ)=e^(-λ)λᵏ/k\!
→ Monte Carlo π: 3000 darts, convergence to 3.14159 at rate 1/√n
→ Birthday paradox: P>0.5 at n=23 + Law of Large Numbers convergence
Probability doesn't describe reality — it describes what we can know about reality from incomplete information.
#generativeart #mathematics #probability #statistics #bayesian