Markov Chains: Only Now Matters
Andrei Markov's 1906 model: a system where the next state depends only on the current state, not the full history. Weather models, Google's PageRank, and language models all use this principle.
Andrei Markov's 1906 model: a system where the next state depends only on the current state, not the full history. Weather models, Google's PageRank, and language models all use this principle.
An ergodic system is one where the average across many people equals the average over time for one person. Most real-world risks aren't ergodic — and ignoring this leads to ruin, even when expected value looks fine.
In a normal distribution, extreme events are vanishingly rare. In a fat-tailed distribution, they're not — and most risk models, built on normal assumptions, dangerously underestimate tail risk.