Embedded Files
Variables
Variables
Every variable represents an aspect of the poker game. It contains at least 2 states or categories whose probabilities sum is 1.
There are 2 ways to dynamically act on the context (the set of hands you want to focus on) and see all other variables update instantly:
Select the right half of an histogram to make the state certain or enforced (p = 1). The state will be displayed with Bordeaux color.
Select the left half of an histogram to make the state impossible or excluded (p = 0). The state will be displayed with Mint color.
To cancel a state, select again the state that is enforced (select right of Bordeaux histogram) or excluded (select left of Mint histogram).
The changes made in this view are reported on the Dynamic view control but not on the Player's header nor the Player's ID Card areas.
Important
The App prioritizes certainty over exclusion. Thus, if you select a state of a 2-states variable on its left part (p=0), this will have the same result as if you had selected the other state on its right part (set p=1).
Attempting to make certain a state that is 0 probability (as a result of other current variables context, and not from a user’s choice), will result in an error message saying the operation is rejected.
The "Clear" command
The "Clear" command
The "Clear" command will remove all constraints applied on the variables.
The n/r state
The n/r state
Some variables contain a state named “n/r” for “non relevant”.
Let’s consider the variable “bet sizing?”; a state “n/r” is added because the variables must remain consistent under any possible configuration.
For instance, here, when the player's action is not a bet, there is not bet sizing.
The “n/r” state is here to make up for all the cases where the player's action is not a bet.
To know the real distribution of bet sizings, just exclude the n/r state so that all the others states' priorities add to 1.
A posteriori vs a priori
A posteriori vs a priori
When the view is generated, all the histograms show their 'a priori' value: i.e. the value without any variable being set to a particular state.
Once a variable is set, all the variables display an 'a posteriori' value, i.e. the probability knowing the variables which are set. The thin red line on histograms just shows the 'a priori' value, as a reference.
Joint distribution view
Joint distribution view
To create a joint view, from 2 variables, see here
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