Statistical Jump Models in Python, with scikit-learn-style APIs
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Updated
Oct 4, 2024 - Python
Statistical Jump Models in Python, with scikit-learn-style APIs
Implementations of various trading strategies
This package implements hypothesis testing procedures that can be used to identify the number of regimes in a Markov-Switching model.
Likelihood ratio based tests for regime switching
[FUSION 2024] A Gaussian Process-based Streaming Algorithm for Prediction of Time Series With Regimes and Outliers
Automatized-analysis-via-yfinance-API
STAT 230A Final Project: Exploring Regime-adaptive Linear Models for Time Series Forecasting
Predicting economic recession in developed and developing countries using regime-switching model
Modeling the COVID-19 Infection Rates by Regime Switching Unobserved Components Models
Bayesian Estimation of Loss Aversion in Regime-Switching DSGE
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