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

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: 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

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

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

Controlled Markov Processes and Viscosit

📁 Controlled Markov Processes and Viscosity Solutions (Stochastic Modelling and Applied Probability)

✍ Wendell H. Fleming, Halil Mete Soner 📂 Library 📅 2005 🏛 Springer 🌐 English

This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. It covers dynamic programming for deterministic optimal control problems, as well as to the corresponding theory of viscosity solutions. New chapters in this second

Controlled Markov Processes and Viscosit

📁 Controlled Markov Processes and Viscosity Solutions (Stochastic Modelling and Applied Probability, 25)

✍ Wendell H. Fleming, Halil Mete Soner 📂 Library 📅 2005 🏛 Springer 🌐 English

This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. It covers dynamic programming for deterministic optimal control problems, as well as to the corresponding theory of viscosity solutions. New chapters in thi

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

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