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Two black holes merge. One is much larger than the other.
Markov Chains Lecture 10: branching processes, Galton-Watson processes
Big black hole eats little black hole (with tidal distortion)
Welcome to Markov Chains: about the class, logistics, etc
Multivariate Analysis 11: tuning loadings, and 3 examples: economics, genetics, and computer vision
Multivariate Analysis 1: mathematical preliminaries, matrices and matrix algebra
Markov Chain Lecture 15: Birth and death processes and their stationary distribution
The Kendall Band (2017 revival)
Multivariate Analysis 3: Covariance matrix, correlation matrix, data cloud
Probability Lecture 19: probability generating functions and moment generating functions
extreme mass ratio inspiral
Markov Chains Lecture 13: Markov processes, sojourn time, and the infinitesimal generator matrix
Markov Chains Lecture 8: absorption times for gambler's ruin
Markov Chains Lecture 3: finish review with generating functions, start Markov chains
Probability Lecture 15: normal (Gaussian) distribution, exponential distribution, & CDF
Probability Lecture 18: variance of random variables and probability generating functions
Probability Lecture 17: expected values of random variables and independence of random variables