Change point dynamics for financial data: an indexed Markov chain approach

2018 ◽  
Vol 15 (2) ◽  
pp. 247-266 ◽  
Author(s):  
Guglielmo D’Amico ◽  
Ada Lika ◽  
Filippo Petroni
Keyword(s):  
Markov Chain ◽  
Change Point ◽  
Financial Data ◽  
Markov Chain Approach

Estimation of Interregional Trade Flows: A Markov Chain Approach

1986 ◽  
Vol 18 (1) ◽  
pp. 123-132 ◽  
Author(s):  
I Weksler ◽  
D Freeman ◽  
G Alperovich
Keyword(s):  
Markov Chain ◽  
Trade Flows ◽  
Interregional Trade ◽  
Markov Chain Approach

An Absorbing Markov Chain approach to understanding the microbial role in soil carbon stabilization

2010 ◽  
Vol 106 (3) ◽  
pp. 303-309 ◽  
Author(s):  
Chao Liang ◽  
Guang Cheng ◽  
Devin L. Wixon ◽  
Teri C. Balser
Keyword(s):  
Markov Chain ◽  
Soil Carbon ◽  
Carbon Stabilization ◽  
Markov Chain Approach ◽  
Absorbing Markov Chain ◽  
Soil Carbon Stabilization

scholarly journals DETERMINING FUTURE PRECIPITATION PROBABILITY FOR KAHRAMANMARAS CITY USING MARKOV CHAIN APPROACH

2017 ◽  
Vol 1 (1) ◽  
pp. 75-84 ◽  
Author(s):  
Mahmut REİS ◽  
Hurem DUTAL ◽  
Zeynep KAYRAK
Keyword(s):  
Markov Chain ◽  
Markov Chain Approach

scholarly journals Construction and Control of Genetic Regulatory Networks:A Multivariate Markov Chain Approach

2008 ◽  
Vol 01 (01) ◽  
pp. 15-21 ◽  
Author(s):  
Shu-Qin Zhang ◽  
Ling-Yun Wu ◽  
Wai-Ki Ching ◽  
Yue Jiao ◽  
Raymond, H. Chan
Keyword(s):  
Markov Chain ◽  
Markov Chain Approach ◽  
And Control

Analysis of Two Phases Queue With Vacations and Breakdowns Under T-Policy

2019 ◽  
pp. 13-31
Author(s):  
Khalid Alnowibet ◽  
Lotfi Tadj
Keyword(s):  
Markov Chain ◽  
Steady State ◽  
Performance Measures ◽  
Threshold Level ◽  
System Size ◽  
State System ◽  
Markov Chain Approach ◽  
Optimal Value ◽  
Two Phases ◽  
Random Breakdowns

The service system considered in this chapter is characterized by an unreliable server. Random breakdowns occur on the server and the repair may not be immediate. The authors assume the possibility that the server may take a vacation at the end of a given service completion. The server resumes operation according to T-policy to check if enough customers have arrived while he was away. The actual service of any arrival takes place in two consecutive phases. Both service phases are independent of each other. A Markov chain approach is used to obtain the steady state system size probabilities and different performance measures. The optimal value of the threshold level is obtained analytically.

Effects of operator learning on production output: a Markov chain approach

2014 ◽  
Vol 65 (12) ◽  
pp. 1814-1823 ◽  
Author(s):  
Corey Kiassat ◽  
Nima Safaei ◽  
Dragan Banjevic
Keyword(s):  
Markov Chain ◽  
Markov Chain Approach ◽  
Production Output
Sign in / Sign up

Export Citation Format

Share Document