# monte

## A Gentle Introduction to Markov Chain Monte Carlo for Probability

Probabilistic inference involves estimating an expected value or density using a probabilistic model. Often, directly inferring values is not tractable…

## A Gentle Introduction to Monte Carlo Sampling for Probability

Monte Carlo methods are a class of techniques for randomly sampling a probability distribution. There are many problem domains where…

## N-step TD Method

N-step TD MethodThe unification of SARSA and Monte Carlo SimulationJeremy ZhangBlockedUnblockFollowFollowingJun 28In previous posts, we have been together explored some general…

## The hybrid Monte Carlo Method

Statistical LearningThe hybrid Monte Carlo Methodin PythonDiogo RibeiroBlockedUnblockFollowFollowingJun 2Photo by Hyouk Seo on UnsplashThe Hamiltonian Monte Carlo method is a kind of…

## Markov Chain Monte Carlo

What happens when the probabilities look more like this?Rbb [CC BY-SA 3. 0 (https://creativecommons. org/licenses/by-sa/3. 0)], from Wikimedia CommonsIn this…

## Data Science Case Study: Optimizing Product Placement in Retail (Part 2)

If we wanted to strengthen our position within a market we could make such a move and moreover design our…

## Monte Carlo Simulations with Python (Part 1)

Monte Carlo Simulations with Python (Part 1)Patrick HanburyBlockedUnblockFollowFollowingJan 25Monte Carlo’s can be used to simulate games at a casino (Pic courtesy…

## Infection Modeling — Part 2

Infection Modeling — Part 2Optimizing a Vaccination Strategy with Genetic AlgorithmsMark DitsworthBlockedUnblockFollowFollowingJan 7In part 1, we modeled the spread of an infectious pathogen…