scholarly journals Decomposition and (importance) sampling techniques for multi-stage stochastic linear programs

1993 ◽  
Author(s):  
G. Infanger
Keyword(s):  
Importance Sampling ◽  
Sampling Techniques ◽  
Linear Programs ◽  
Multi Stage ◽  
Importance Sampling Techniques ◽  
Stochastic Linear Programs

Accelerated Spike Resampling for Accurate Multiple Testing Controls

2013 ◽  
Vol 25 (2) ◽  
pp. 418-449 ◽  
Author(s):  
Matthew T. Harrison
Keyword(s):  
General Theory ◽  
Importance Sampling ◽  
Multiple Testing ◽  
Permutation Tests ◽  
Spike Trains ◽  
Sampling Techniques ◽  
Hypothesis Tests ◽  
Multiple Hypothesis ◽  
Importance Sampling Techniques ◽  
Lagged Correlation

Controlling for multiple hypothesis tests using standard spike resampling techniques often requires prohibitive amounts of computation. Importance sampling techniques can be used to accelerate the computation. The general theory is presented, along with specific examples for testing differences across conditions using permutation tests and for testing pairwise synchrony and precise lagged-correlation between many simultaneously recorded spike trains using interval jitter.

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