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ORIE Colloquium on 1/29/2015 - Jason Lee:… duration 1 hour 0 minutes ORIE Colloquium on 1/29/2015 - Jason Lee:… ORIE Colloquium on 1/29/2015 - Jason Lee: Selective Inference via the Condition on Selection Framework: Applications to Inference After Variable Selection	ORIE Colloquium on 1/29/2015 - Jason Lee: Selective Inference via the Condition on Selection Framework: Applications to Inference After Variable Selection Selective Inference is the problem of testing hypotheses that are chosen or suggested by the data. Inference after variable selection in high-dimensional linear regression is a common example of… estimation theory parameter statistical terminology on premise mathematical and quantitative methods (economics) eng equations confidence data set statistics regression analysis data analysis deductive reasoning greedy algorithm abstract algebra algebra computer data linear algebra mental structures selective matrices p.d.f. theory of probability distributions region condition c.d.f. probability summary statistics scientific method machine learning algorithms function artificial intelligence thing elementary special functions hypothesis testing selection mathematical optimization imagination elementary algebra caption complete probability theory algorithm covariance and correlation heuristics inductive reasoning concepts in physics point interval optimization algorithms and methods psychometrics square distribution randomness regression polynomials mediasite learning model selection statistical deviation and dispersion elementary mathematics linear statistical theory mathematical concepts experiment operations research econometrics arithmetic measurement variables spring 2015 statistical inference hypothesis inequality cybernetics variable logic and statistics k.k.t. statistical models From E. Cornelius 7 plays

ORIE Colloquium on 1/29/2015 - Jason Lee:…

duration 1 hour 0 minutes

ORIE Colloquium on 1/29/2015 - Jason Lee:…

ORIE Colloquium on 1/29/2015 - Jason Lee: Selective Inference via the Condition on Selection Framework: Applications to Inference After Variable Selection

Selective Inference is the problem of testing hypotheses that are chosen or suggested by the data. Inference after variable selection in high-dimensional linear regression is a common example of…