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A comprehensive introduction to the concepts and algorithms of Hidden Markov Models (HMMs)
Real-world examples that can be worked through using a calculator or R
Applications across disciplines, including finance, bioinformatics, and speech recognition
Fully annotated R code for hands-on learning and practical implementation
Hidden Markov Models for Time Series
Mixture and Hidden Markov Models with R
Hands-On Markov Models with Python
Hidden Markov Models and Applications
Financial Modeling Excellence
Analysis of Financial Time Series
Financial Modeling Excellence
Introduction to Hidden Semi-Markov Models
Applied Probabilistic Calculus for Financial Engineering
Hidden Markov Models
Implementing Machine Learning for Finance
Advanced Financial Modeling for Stock Price Prediction