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PhD Finance @ University of Chicago Booth School of Business
Estimating the rental rate of capital from data
asked Oct 5 '16 at 23:46
Is this chart showing the likelihood of a terrorist attack statistically useful?
Why is it that natural log changes are percentage changes? What is about logs that makes this so?
Why do we take the square root of variance to create standard deviation?
Is the sum of two white noise processes necessarily a white noise?
Is a high $R^2$ ever useless?
Gradient descent doesn't find solution to ordinary least squares on this dataset?
When A and B are positively related variables, can they have opposite effect on their outcome variable C?
Can a meta-analysis of studies which are all “not statistically signficant” lead to a “significant” conclusion?
When should one include a variable in a regression despite it not being statistically significant?
Empirical CDF vs CDF
Average value paradox - What is this called?
Why are random walks intercorrelated?
What are reasons not to do factor investing in equity markets?
Definition of sample space
Intuition (geometric or other) of $Var(X) = E[X^2] - (E[X])^2$
Does a uniform distribution of many p-values give statistical evidence that H0 is true?
How does NumPy solve least squares for underdetermined systems?
What's wrong with this proposed resolution to the St Petersburg Paradox?
Is the use of standard deviation built on the assumption of normal distribution?
How exactly does a “random effects model” in econometrics relate to mixed models outside of econometrics?
QQ Plot Reference Line not 45°
What are the classical notations in statistics, linear algebra and machine learning? And what are the connections between these notations?
Flaw in all scientific studies/experiments?
Why are two random variables independent if the Pearson's correlation coefficient equals zero, but the same result does not hold for covariance?
How can the regression error term ever be correlated with the explanatory variables?
What is the more appropriate way to create a hold-out set: to remove some subjects or to remove some observations from each subject?
What are the consequences of having non-constant variance in the error terms in linear regression?
What can one conclude about the data when arithmetic mean is very close to geometric mean?
Why does Kelly maximise $E[\log\space G]$ rather than simply $E[G]$?
Why is gradient descent required?