You want to do an agent-based simulation of, say, consumer behavior where the relevant properties of the agents have the joint distribution of a sample. You want it to be in a context that or for a period of time not realizable with actual subjects...
On Sun, Apr 19, 2020 at 9:30 AM Marcus Daniels <[email protected]> wrote: > I have a hard time with this as a way to extend data. If it is > high-dimensional it will be under-sampled. Seems better to me to measure > or simulate more so that the joint distribution can be realistic. And if > you can do that there is no reason to infer the joint distribution because > you *have* it. > > On Apr 19, 2020, at 8:18 AM, Frank Wimberly <[email protected]> wrote: > > > Going back and forth: If you infer the causal graph from observational > data you can use that graph to simulate data with the same joint > distribution as the original data. > > > Frank > > On Sun, Apr 19, 2020 at 9:11 AM uǝlƃ ☣ <[email protected]> wrote: > >> The *ensemble* point is the primary reason I regret not being able to >> parse your response to my Necker cube summarization of EricS' TLDR. It goes >> back to the original question of how/whether distributional conceptions >> better catch the unknown unknowns left dangling in the ambience. Pearl's >> attempts to burst "causality" into graphs, away from chains (though helping >> to identify chains when they do exist) is along the same line. >> >> To boot, it evokes both Gödel's interpretation of von Neumann's >> interpretation of Gödel's work (that it takes an infinite expression to >> describe a thing) and Rosen's definition of complexity (basically anything >> that requires an infinite number of models to describe). >> >> And, although I can't get my hands on the Rota paper EricS posted, I'm >> leery of relying on any phenomenology. Heidegger I trust a bit. Husserl not >> so much. Regardless, I don't think it's *necessary* to go that deep to grok >> the main point, which is that the transformation should be invertible. We >> should be able to flip back and forth from goo to thing such that the >> flipping doesn't change it. The goo we get after flipping from the things >> should be the same goo we had to start with. >> >> On 4/19/20 6:25 AM, Steven A Smith wrote: >> > My work of late (other than SimTable) has been in the realm of trying >> to analyze ensembles of predictive simulations. This is a logical next >> step (forward and backward propogating data and constraints as they are >> recorded/discovered/postulated) across space (populations) and time. >> >> >> -- >> ☣ uǝlƃ >> >> .-. .- -. -.. --- -- -..-. -.. --- - ... -..-. .- -. -.. -..-. -.. .- ... >> .... . ... >> FRIAM Applied Complexity Group listserv >> Zoom Fridays 9:30a-12p Mtn GMT-6 bit.ly/virtualfriam >> unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com >> archives: http://friam.471366.n2.nabble.com/ >> FRIAM-COMIC <http://friam.471366.n2.nabble.com/FRIAM-COMIC> >> http://friam-comic.blogspot.com/ >> > > > -- > Frank Wimberly > 140 Calle Ojo Feliz > Santa Fe, NM 87505 > 505 670-9918 > .-. .- -. -.. --- -- -..-. -.. --- - ... -..-. .- -. -.. -..-. -.. .- ... > .... . ... > FRIAM Applied Complexity Group listserv > Zoom Fridays 9:30a-12p Mtn GMT-6 bit.ly/virtualfriam > unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com > archives: http://friam.471366.n2.nabble.com/ > FRIAM-COMIC http://friam-comic.blogspot.com/ > > .-. .- -. -.. --- -- -..-. -.. --- - ... -..-. .- -. -.. -..-. -.. .- ... > .... . ... > FRIAM Applied Complexity Group listserv > Zoom Fridays 9:30a-12p Mtn GMT-6 bit.ly/virtualfriam > unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com > archives: http://friam.471366.n2.nabble.com/ > FRIAM-COMIC http://friam-comic.blogspot.com/ > -- Frank Wimberly 140 Calle Ojo Feliz Santa Fe, NM 87505 505 670-9918
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