The document contains contact information for Ichigaku Takigawa including their email address ichigaku.takigawa@riken.jp, personal website URL https://itakigawa.github.io/, and mentions they are working with IBISML and ATR on materials informatics and bioinformatics. It also includes a link to their page https://itakigawa.page.link/IBISML for a PDF document.
The document describes various probability distributions that can arise from combining Bernoulli random variables. It shows how a binomial distribution emerges from summing Bernoulli random variables, and how Poisson, normal, chi-squared, exponential, gamma, and inverse gamma distributions can approximate the binomial as the number of Bernoulli trials increases. Code examples in R are provided to simulate sampling from these distributions and compare the simulated distributions to their theoretical probability density functions.
The document contains contact information for Ichigaku Takigawa including their email address ichigaku.takigawa@riken.jp, personal website URL https://itakigawa.github.io/, and mentions they are working with IBISML and ATR on materials informatics and bioinformatics. It also includes a link to their page https://itakigawa.page.link/IBISML for a PDF document.
The document describes various probability distributions that can arise from combining Bernoulli random variables. It shows how a binomial distribution emerges from summing Bernoulli random variables, and how Poisson, normal, chi-squared, exponential, gamma, and inverse gamma distributions can approximate the binomial as the number of Bernoulli trials increases. Code examples in R are provided to simulate sampling from these distributions and compare the simulated distributions to their theoretical probability density functions.