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Hey [USER=4107]@jon.berna[/USER], will you explain this phrase to me? Not asking to be a jerk and this isn't a "gotcha" attempt, I'm here to learn.It seems to me that confidence in the complete model relies entirely upon confidence in the accuracy of the estimations of transition probabilities. Is that correct? In other words, if the estimate of transition probability from C1 to C2 is inaccurate, the entirety of the equation is flawed. This would then be exacerbated by the potential error rate for each estimation in series as it compounds the error and variability of the equation.1. Is that a fair assessment of the analysis above? What am I missing?2. If so, what steps did you take, tests did you perform, behavior did you observe etc. to assure that your estimations were within an acceptable statistical error rate?
Hey [USER=4107]@jon.berna[/USER], will you explain this phrase to me? Not asking to be a jerk and this isn't a "gotcha" attempt, I'm here to learn.
It seems to me that confidence in the complete model relies entirely upon confidence in the accuracy of the estimations of transition probabilities. Is that correct? In other words, if the estimate of transition probability from C1 to C2 is inaccurate, the entirety of the equation is flawed. This would then be exacerbated by the potential error rate for each estimation in series as it compounds the error and variability of the equation.
1. Is that a fair assessment of the analysis above? What am I missing?
2. If so, what steps did you take, tests did you perform, behavior did you observe etc. to assure that your estimations were within an acceptable statistical error rate?