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Introduction to Probability Simulation and Gibbs Sampling with R || Markov Chains with Two States

✍ Scribed by Suess, Eric A.; Trumbo, Bruce E.

Book ID: 120433842
Publisher: Springer New York
Year: 2010
Weight: 813 KB
Category: Article
ISBN: 0387687653
DOI: 10.1007/978-0-387-68765-0_6

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📜 SIMILAR VOLUMES

Introduction to Probability Simulation a

Introduction to Probability Simulation and Gibbs Sampling with R || Screening Tests

✍ Suess, Eric A.; Trumbo, Bruce E. 📂 Article 📅 2010 🏛 Springer New York ⚖ 763 KB

Introduction to Probability Simulation a

Introduction to Probability Simulation and Gibbs Sampling with R || Appendix: Getting Started with R

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Introduction to Probability Simulation a

Introduction to Probability Simulation and Gibbs Sampling with R || Introductory Examples: Simulation, Estimation, and Graphics

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Power spectrum density equation of fluct

Power spectrum density equation of fluctuating membrane current based on a discrete-time markov chain model: Application to the analysis of ion channels with two and three states

✍ Yoshio Ebina; Mamoru Mukuno; Kazuki Nakajima; Ryuzo Shingai; Alan G. Hawkes 📂 Article 📅 1992 🏛 John Wiley and Sons 🌐 English ⚖ 849 KB

## Abstract The measured power spectrum density PWS~EX~ of the fluctuating membrane current of neurons often differs from the well known Lorentz curve. Representing the frequency dependence in the high frequency (__f__) above the corner frequency as __f^−n^, n__ is less than 2, which indicates that