Finite Mixture and Markov Switching Models

Finite Mixture and Markov Switching Models

by Sylvia Frühwirth-Schnatter

494 pages· 2006· ISBN 9780387357683
Join Readfeed freeFind clubs reading this bookBrowse readable books
About
The past decade has seen powerful new computational tools for modeling which combine a Bayesian approach with recent Monte simulation techniques based on Markov chains. This book is the first to offer a systematic presentation of the Bayesian perspective of finite mixture modelling. The book is designed to show finite mixture and Markov switching models are formulated, what structures they imply on the data, their potential uses, and how they are estimated. Presenting its concepts informally without sacrificing mathematical correctness, it will serve a wide readership including statisticians as well as biologists, economists, engineers, financial and market researchers.

Discuss Finite Mixture and Markov Switching Models with other readers

Join or start a book club for Finite Mixture and Markov Switching Models on Readfeed. Live chat, shared reading progress, and AI discussion questions — free to get started.

Sign up freeBrowse book clubs

Frequently asked questions

How do I join a book club for Finite Mixture and Markov Switching Models?

Sign up free on Readfeed, then browse public clubs or start your own club with Finite Mixture and Markov Switching Models as the current read. Invite friends with a share link and discuss together with live chat and AI discussion questions.

Can I discuss Finite Mixture and Markov Switching Models with other readers online?

Yes. Readfeed book clubs let you chat live, share progress, and join discussions about Finite Mixture and Markov Switching Models with readers worldwide — whether your club is virtual, in-person, or hybrid.

Is Readfeed free?

Yes. Creating an account and joining book clubs is free. Sign up to find readers who love the same books and start discussing today.