/explore
|
You are here |
leimao.github.io | ||
| | | | |
astroautomata.com
Automating Scientific Discovery |
|
| | | | | ||
| | | | |
www.nowozin.net
|
|
| | | | | ||
| | | | |
dm13450.github.io
Point proceseses crop up everywhere. From modelling when a bus arrives, or to when a particle decays. They all involve an intensity function, so how do we fit an intensity function to some data in Bayesian way? |
|
| | | | | ||
| | | | |
poissonisfish.com
Someof the most fundamental functions in R, in my opinion, are those that deal with probability distributions. Whenever you compute a P-value you relyon a probability distribution, and there are many types out there. In this exercise I will cover four: Bernoulli, Binomial, Poisson, and Normal distributions. Let me begin with some theory first: Bernoulli... |
|
| | | |||