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Poisson distribution A discrete probability distribution. It gives the probability of an event happening a certain number of times (k) within a given interval of time or space, meaning that it gives the probability of a discrete(i.e., countable) outcome.

Binomial Distribution It is the discrete probability distribution that gives only two possible results in an experiment, either Success or Failure. For example, if we toss a coin, there could be only two possible outcomes: heads or tails, and if any test is taken, then there could be only two results: pass or fail.

Kalman Filter It works by a two-phase process having a prediction phase and an update phase. - For the prediction phase, the Kalman filter produces estimates of the current state variables, along with their uncertainties. - Once the outcome of the next measurement (necessarily corrupted with some error, including random noise) is observed, these estimates are updated using a weighted average, wi..

Bayes Filter It can be divided into a Prediction Step and a Correction Step. Prediction Step The state of prediction step.

Bayes' Theorem(Baysianism) The relationship between prior probability and post-probability. HTML 삽입 미리보기할 수 없는 소스 Example Q. What is the probability that this email is spam when the word A is visible? HTML 삽입 미리보기할 수 없는 소스 https://gaussian37.github.io/autodrive-ose-bayes_filter/ https://roytravel.tistory.com/350 https://zzaebok.github.io/machine_learning/bayesian-statistics-and-machine-learning/