Year: 2024
Type: article
Abstract: Modeling time series data, such as stock prices and text sequences, is effectively achieved using Markov Chains.ChainoPy facilitates the modeling of time series data with Markov Chains and Markov Switching Models, optimizing for computational efficiency in terms of speed and memory usage.Additionally, ChainoPy enables the integration of probabilistic models like Markov Chains with Neural Networks, traditionally considered deterministic, through the MarkovChainNeuralNetwork class.This hybrid approach leverages the strengths of both probabilistic and neural network methodologies.
DOI: 10.21105/joss.06880
Author: Aadya A. Chinubhai
Institution: Ahmedabad University
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4401633516