A Predictive Model using the Markov Property
arXiv:1601.01700v11 citations
Originality Synthesis-oriented
AI Analysis
This work addresses prediction tasks for data analysts, but it appears incremental as it applies an existing Markov-based method to new data without clear novelty.
The paper tackles the problem of predicting future values from an unknown probability distribution by checking for the Markov property in a dataset, achieving prediction with probability 1.
Given a data set of numerical values which are sampled from some unknown probability distribution, we will show how to check if the data set exhibits the Markov property and we will show how to use the Markov property to predict future values from the same distribution, with probability 1.