RSS Annual Conference 2016 Chair: Richard Emsley, University of Manchester Speaker: Xiao-Li Meng, Dean, Graduate School of Arts and Science, Harvard University
Жүктеу.....
Пікірлер: 8
@rangjungyeshe7 жыл бұрын
Meng's demonstration of the impact of bias on the reliability of Big Data has to be one of the most impressive and important results in statistics for years.
@Flash-pp3cr7 жыл бұрын
If U.S. Census isn'f for inference purposes, is it just simply to be used as data when applicable? How does one take into effect the data collected?
@JCResDoc947 жыл бұрын
34:00 does this bypass sampling error fatal reducing hundreds of millions to hundreds w/spme corr checks. GaWd I guess it depends. Nonrandom (but what is random). & no stratification, no time addedyet - rfm
@JCResDoc947 жыл бұрын
54:30 mixed resolution cross tx cf
@JCResDoc947 жыл бұрын
47:30 decisions from data
@JCResDoc947 жыл бұрын
38:00 pop inference is not wa big data is for, indiv prediict =1...rite? Quality //qt
@krenovaFromSG4 жыл бұрын
any thoughts on what this might mean for autonomous driving vehicles?
Пікірлер: 8
Meng's demonstration of the impact of bias on the reliability of Big Data has to be one of the most impressive and important results in statistics for years.
If U.S. Census isn'f for inference purposes, is it just simply to be used as data when applicable? How does one take into effect the data collected?
34:00 does this bypass sampling error fatal reducing hundreds of millions to hundreds w/spme corr checks. GaWd I guess it depends. Nonrandom (but what is random). & no stratification, no time addedyet - rfm
54:30 mixed resolution cross tx cf
47:30 decisions from data
38:00 pop inference is not wa big data is for, indiv prediict =1...rite? Quality //qt
any thoughts on what this might mean for autonomous driving vehicles?
RSS is awesome