We analyzed two
complex predictive models using structural equation modeling.
Not exact matches
This is too
complex an issue to discuss here, but I would submit that if understanding rather than prediction is the goal of science,
models can not be replaced by
predictive mathematical formalisms.
«The existence of a motif means our
predictive model can be based on a relatively simple mathematical formula rather than on more
complex econometrics that try to account for all the different types of human behavior,» says González, the Gilbert Winslow Career Development Assistant Professor in MIT's Department of Civil and Environmental Engineering (CEE).
«We hypothesized that this might explain why laboratory mice, while paramount for understanding basic biological phenomena, are limited in their
predictive utility for
modeling complex diseases of humans and other free - living mammals,» said Rosshart.
It's better not to make the
model unecessarily
complex, otherwise adjusting
model states for observations becomes cumbersome with a possible loss in
predictive capability.
After a very short initial period, any
model of a
complex system will have zero remaining
predictive value.
The world's climate is way too
complex... with way too many significant global and regional variables (e.g., solar, volcanic and geologic activity, variations in the strength and path of the jet stream and major ocean currents, the seasons created by the tilt of the earth, and the concentration of water vapor in the atmosphere, which by the way is many times more effective at holding heat near the surface of the earth than is carbon dioxide, a non-toxic, trace gas that all plant life must have to survive, and that produce the oxygen that WE need to survive) to consider for any so - called climate
model to generate a reliable and reproducible
predictive model.
Although these
models are among the most elaborate
predictive models of
complex non-linear phenomena, they are nonetheless sweeping oversimplifications of the global climate system and its mechanistic intricacies.