Does anyone have any idea what the big I in this equation is?
[HR][/HR]
3.2. .Prediction Markets for Logistic Regression
A variant of logistic regression can also be modeled using prediction markets, with the following betting functions:
. . . . .\(\displaystyle \phi_m^1(\mbox{x},\, 1\, \, c)\, =\, (1\, \, c)\left(x_m^+\, \, \dfrac{1}{B}\ln(1\, \, c)\right)\)
. . . . .\(\displaystyle \phi_m^2(\mbox{x},\, c)\, =\, c\left(x_m^\ \, \dfrac{1}{B}\ln(c)\right)\)
where \(\displaystyle x^+\, =\, xI(x\, >\, 0),\, x^\, =\, xI(x\, <\, 0),\, \) and \(\displaystyle B\, =\, \sum_m \beta_m.\)
[HR][/HR]
I can't for the life of me figure it out, and can't find a prior reference in the article. Thanks.
[HR][/HR]
3.2. .Prediction Markets for Logistic Regression
A variant of logistic regression can also be modeled using prediction markets, with the following betting functions:
. . . . .\(\displaystyle \phi_m^1(\mbox{x},\, 1\, \, c)\, =\, (1\, \, c)\left(x_m^+\, \, \dfrac{1}{B}\ln(1\, \, c)\right)\)
. . . . .\(\displaystyle \phi_m^2(\mbox{x},\, c)\, =\, c\left(x_m^\ \, \dfrac{1}{B}\ln(c)\right)\)
where \(\displaystyle x^+\, =\, xI(x\, >\, 0),\, x^\, =\, xI(x\, <\, 0),\, \) and \(\displaystyle B\, =\, \sum_m \beta_m.\)
[HR][/HR]
I can't for the life of me figure it out, and can't find a prior reference in the article. Thanks.
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