Describe the Difference Between Fit and Prediction for Forecasting Models

Sequence prediction is a problem that involves using historical sequence information to predict the next value or values in the sequence. PK models describe the relationship between drug concentrations and time.

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The building block of many PK models is a compartmenta region of the body in which the drug is well mixed and kinetically homogenous and can therefore be described in terms of a single representative concentration at any time point 10.

. The sequence may be symbols like letters in a sentence or real values like those in a time series of prices. Compartments have proven to be. Sequence prediction may be easiest to understand in the context of time series forecasting as the problem is already.

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