TY - JOUR

T1 - E-M ALGORITHMS FOR ESTIMATING PARAMETERS FROM SINGLE-MEMORY MARKOV POINT-PROCESSES HAVING A MULTIPLICATIVE INTENSITY.

AU - Miller, Michael I.

AU - Karamanos, Neophytos A.

AU - Bosch, Walter R.

PY - 1985/12/1

Y1 - 1985/12/1

N2 - The probability that a neuron in the peripheral auditory nervous system discharges during some specified time interval depends on both a stimulus function and on effects due to earlier discharge events. With the objective of estimating parameters related to the stimulus function which are free from the distortion introduced by effects due to previous discharges, a maximum-likelihood estimation scheme has been developed. We have chosen a multiplicative intensity model to describe auditory-nerve discharges in which the intensity of the process is stochastic and the product of two functions: one an unknown deterministic function corresponding to the stimulus, and the second a stochastic function which is on the history of the process. Only abstract is given.

AB - The probability that a neuron in the peripheral auditory nervous system discharges during some specified time interval depends on both a stimulus function and on effects due to earlier discharge events. With the objective of estimating parameters related to the stimulus function which are free from the distortion introduced by effects due to previous discharges, a maximum-likelihood estimation scheme has been developed. We have chosen a multiplicative intensity model to describe auditory-nerve discharges in which the intensity of the process is stochastic and the product of two functions: one an unknown deterministic function corresponding to the stimulus, and the second a stochastic function which is on the history of the process. Only abstract is given.

UR - http://www.scopus.com/inward/record.url?scp=0022224038&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0022224038

SP - 370

EP - 371

JO - Proceedings - Annual Allerton Conference on Communication, Control, and Computing

JF - Proceedings - Annual Allerton Conference on Communication, Control, and Computing

SN - 0732-6181

ER -