Rating-transition-probability models and Comprehensive Capital Analysis and Review stress testing: methodologies and implementation

2016 ◽  
Author(s):  
Bill Huajian Yang ◽  
Zunwei Du
Keyword(s):  
Stress Testing ◽  
Transition Probability ◽  
Probability Models

scholarly journals Validation of default probability models: A stress testing approach

2016 ◽  
Vol 47 ◽  
pp. 70-85 ◽  
Author(s):  
Fábio Yasuhiro Tsukahara ◽  
Herbert Kimura ◽  
Vinicius Amorim Sobreiro ◽  
Juan Carlos Arismendi Zambrano
Keyword(s):  
Stress Testing ◽  
Default Probability ◽  
Probability Models ◽  
Testing Approach

Using local transition probability models in Markov random fields for forest change detection

2008 ◽  
Vol 112 (5) ◽  
pp. 2222-2231 ◽  
Author(s):  
Desheng Liu ◽  
Kuan Song ◽  
John R.G. Townshend ◽  
Peng Gong
Keyword(s):  
Change Detection ◽  
Random Fields ◽  
Markov Random Fields ◽  
Transition Probability ◽  
Forest Change ◽  
Probability Models ◽  
Markov Random ◽  
Local Transition

scholarly journals Cell Cycle Commitment and the Origins of Cell Cycle Variability

2021 ◽  
Vol 9 ◽  
Author(s):  
Robert F. Brooks
Keyword(s):  
Cell Cycle ◽  
Dynamic Behavior ◽  
Transition Probability ◽  
Molecular Networks ◽  
Probability Models ◽  
Clonal Population ◽  
Restriction Point ◽  
The Relationship ◽  
Mitogenic Signal

Exit of cells from quiescence following mitogenic stimulation is highly asynchronous, and there is a great deal of heterogeneity in the response. Even in a single, clonal population, some cells re-enter the cell cycle after a sub-optimal mitogenic signal while other, seemingly identical cells, do not, though they remain capable of responding to a higher level of stimulus. This review will consider the origins of this variability and heterogeneity, both in cells re-entering the cycle from quiescence and in the context of commitment decisions in continuously cycling populations. Particular attention will be paid to the role of two interacting molecular networks, namely the RB-E2F and APC/CCDH1 “switches.” These networks have the property of bistability and it seems likely that they are responsible for dynamic behavior previously described kinetically by Transition Probability models of the cell cycle. The relationship between these switches and the so-called Restriction Point of the cell cycle will also be considered.

scholarly journals Statistic inversion of multi-zone transition probability models for aquifer characterization in alluvial fans

2015 ◽  
Vol 30 (3) ◽  
pp. 1005-1016 ◽  
Author(s):  
Lin Zhu ◽  
Zhenxue Dai ◽  
Huili Gong ◽  
Carl Gable ◽  
Pietro Teatini
Keyword(s):  
Transition Probability ◽  
Alluvial Fans ◽  
Aquifer Characterization ◽  
Probability Models

Modeling of vehicle driving conditions using transition probability models

2011 ◽  
Author(s):  
Kevin McDonough ◽  
Ilya Kolmanovsky ◽  
Dimitar Filev ◽  
Diana Yanakiev ◽  
Steve Szwabowski ◽  
...  
Keyword(s):  
Transition Probability ◽  
Probability Models ◽  
Driving Conditions
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