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Connecting Distributions
This short note builds intuition for how several core distributions—Poisson, Exponential, Gamma, Beta, Binomial, Chi Square, Dirichlet, Multinomial—are tightly connected. Rather than treating them as isolated formulas, we view them as different lenses on the same random process: events happening in time or within the same family.
Statistical Rethinking (Ch. 2)
This article provides solutions and explanations for the exercises in Chapter 2 of Statistical Rethinking, focusing on foundational concepts in Bayesian statistics and probabilistic reasoning
Statistical Rethinking (Ch. 3)
This article provides solutions and explanations for the exercises in Chapter 3 of Statistical Rethinking, focusing on foundational concepts in Bayesian statistics and probabilistic reasoning
Bayesian Optimization
This article provides a step-by-step guide to implementing Bayesian optimization in Python, including designing the algorithm from scratch using NumPy and SciPy, applying it with Python libraries like scikit-optimize, and visualizing the process for optimizing a noisy objective function