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Keywords
(6)
Conditional Probability
Correlation Coefficient
Maximum Likelihood Estimate
Spike Train
First Order
Markov Chain
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Conditional probability and correlation coefficient estimators for a first order Bernoulli process
Conditional probability and correlation coefficient estimators for a first order Bernoulli process,10.1109/SSP.2011.5967805,Peter J. Sherman
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Conditional probability and correlation coefficient estimators for a first order Bernoulli process
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Peter J. Sherman
This work is concerned with estimation of parameters associated with a correlated binary state Markov chain, also known as a type of
spike train
process. The variance expressions for the natural estimators of the process mean, joint and conditional probabilities, and
correlation coefficient
are given. These estimators are shown to be
maximum likelihood
estimators.
Conference:
IEEE/SP Workshop on Statistical Signal Processing  SSP
, pp. 725728, 2011
DOI:
10.1109/SSP.2011.5967805
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References
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Barry James
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Journal:
Statistics & Probability Letters  STAT PROBAB LETT
, vol. 78, no. 15, pp. 23392345, 2008
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Ramesh C. Gupta
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Metrika
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Measure of Correlation Orthogonal to Change in Firing Rate
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Journal:
Neural Computation  NECO
, vol. 21, no. 4, pp. 960972, 2009
Generating Spike Trains with Specified Correlation Coefficients
(
Citations: 21
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Jakob H. Macke
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Neural Computation  NECO
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