Hidden Markov models: estimation and control

✍ Scribed by Robert J. Elliott, John B. Moore, Lakhdar Aggoun (auth.)

Publisher: Springer-Verlag New York
Year: 1995
Tongue: English
Leaves: 374
Series: Stochastic Modelling and Applied Probability 29
Edition: 1
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

✦ Subjects

Systems Theory, Control; Probability Theory and Stochastic Processes; Quantitative Finance

📜 SIMILAR VOLUMES

Hidden Markov models: Estimation and con

📁 Hidden Markov models: Estimation and control

✍ Robert J. Elliott, John B. Moore, Lakhdar Aggoun (auth.) 📂 Library 📅 1995 🏛 Springer-Verlag New York 🌐 English

<p><P>As more applications are found, interest in Hidden Markov Models continues to grow. Following comments and feedback from colleagues, students and other working with Hidden Markov Models the corrected 3rd printing of this volume contains clarifications, improvements and some new material, inclu

Hidden Markov Models: Estimation and Con

📁 Hidden Markov Models: Estimation and Control

✍ Robert J. Elliott, John B. Moore, Lakhdar Aggoun (auth.) 📂 Library 📅 1995 🏛 Springer-Verlag New York 🌐 English

Hidden Markov Models: Estimation and Con

📁 Hidden Markov Models: Estimation and Control (Stochastic Modelling and Applied Probability)

✍ Robert J. Elliott, Lakhdar Aggoun, John B. Moore 📂 Library 📅 1994 🏛 Springer 🌐 English

Hidden Markov Models: Estimation and Con

📁 Hidden Markov Models: Estimation and Control (Stochastic Modelling and Applied Probability)

✍ Robert J. Elliott, Lakhdar Aggoun, John B. Moore 📂 Library 📅 1994 🏛 Springer 🌐 English

The aim of this book is to present graduate students with a thorough survey of reference probability models and their applications to optimal estimation and control. These new and powerful methods are particularly useful in signal processing applications where signal models are only partially known

Hidden Markov Models

📁 Hidden Markov Models

✍ Bhar R., Hamori S. 📂 Library 📅 2004 🌐 English

Markov chains have increasingly become a useful way of capturing the stochastic nature of many economic and financial variables. Although the hidden Markov processes have been widely employed for some time in many engineering applications e.g. speech recognition, its effectiveness has now been recog

Hidden Markov Models and Dynamical Syste

📁 Hidden Markov Models and Dynamical Systems

✍ Andrew M. Fraser 📂 Library 📅 2009 🏛 Society for Industrial and Applied Mathematics 🌐 English

This text provides an introduction to hidden Markov models (HMMs) for the dynamical systems community. It is a valuable text for third or fourth year undergraduates studying engineering, mathematics, or science that includes work in probability, linear algebra and differential equations. The book pr