Probability and statistics have numerous applications in various fields, including:
This was Statistics 2’s crown jewel: . probability and statistics 2
(Concepts featured: Law of total variance, mixture models, EM algorithm, Bayesian inference, MCMC, Gibbs sampling, Kalman filter, robust statistics, Student-t distribution.) probability and statistics 2
Extending to $Y_i = \beta_0 + \beta_1 X_1i + \beta_2 X_2i + ... + \beta_p X_pi + \epsilon_i$. probability and statistics 2
: Advanced study of densities such as Uniform, Normal, Exponential, Gamma, Beta, and Cauchy distributions. Multivariate Distributions : Analysis of joint, marginal, and conditional distributions
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Models relationship between two continuous variables linearly.