Markov Processes and Learning Models
β Scribed by M. Frank Norman (Eds.)
- Publisher
- Academic Press
- Year
- 1972
- Tongue
- English
- Leaves
- 289
- Series
- Mathematics in Science and Engineering 84
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Markov processes are used to model systems with limited memory. They are used in many areas including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, popula
<p>This book presents an algebraic development of the theory of countable state space Markov chains with discrete- and continuous-time parameters. A Markov chain is a stochastic process characterized by the Markov propΒ erty that the distribution of future depends only on the current state, not on t