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» Statistical Models of Conditioning
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ANSS
2006
IEEE
15 years 3 months ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
SCHOLARPEDIA
2008
92views more  SCHOLARPEDIA 2008»
14 years 9 months ago
Computational models of classical conditioning
: We describe computer simulation of a number of associative models of classical conditioning in an attempt to assess the strengths and weaknesses of each model. The behavior of th...
Nestor A. Schmajuk
CVPR
2005
IEEE
15 years 11 months ago
Mixture Trees for Modeling and Fast Conditional Sampling with Applications in Vision and Graphics
We introduce mixture trees, a tree-based data-structure for modeling joint probability densities using a greedy hierarchical density estimation scheme. We show that the mixture tr...
Frank Dellaert, Vivek Kwatra, Sang Min Oh
ANOR
2007
81views more  ANOR 2007»
14 years 10 months ago
A conditional-SGT-VaR approach with alternative GARCH models
This paper proposes a conditional technique for the estimation of VaR and expected shortfall measures based on the skewed generalized t (SGT) distribution. The estimation of the co...
Turan G. Bali, Panayiotis Theodossiou
JNW
2007
87views more  JNW 2007»
14 years 9 months ago
Modeling of IEEE 802.11 DCF for Transient State Conditions
—Performance of IEEE 802.11 distributed coordination function (DCF) has been studied by several authors under steady-state conditions. Behavior of DCF under transient state condi...
Rama Krishna Challa, Saswat Chakrabarti, Debasish ...