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  • February 28, 2019Helpful tips

    Is the logarithmic score strictly proper?

    Is the logarithmic score strictly proper? The logarithmic scoring rule is a local strictly proper scoring rule. This is also the negative of surprisal, which…

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  • February 28, 2019Miscellaneous

    Why is Q-learning an off-policy method while SARSA an on policy method?

    Why is Q-learning an off-policy method while SARSA an on policy method? Q-learning is called off-policy because the updated policy is different from the behavior…

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  • February 28, 2019Helpful tips

    What if p-value is too small?

    What if p-value is too small? If your p-value is less than your selected alpha level (typically 0.05), you reject the null hypothesis in favor…

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  • February 28, 2019Miscellaneous

    Is R-squared the standard deviation of residuals?

    Is R-squared the standard deviation of residuals? The residual standard error is the standard deviation of the residuals – Smaller residual standard error means predictions…

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  • February 28, 2019Guidelines

    How do you forecast residuals?

    How do you forecast residuals? A good forecasting method will yield residuals with the following properties: The residuals are uncorrelated. If there are correlations between…

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  • February 28, 2019Miscellaneous

    What is the difference between percentage change and log?

    What is the difference between percentage change and log? (Return to top of page.) First difference of LOG = percentage change: When used in conjunction…

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  • February 28, 2019Guidelines

    What are industry fixed effects?

    What are industry fixed effects? Country fixed effects should capture systematic differences in the financial environment across countries (such as bankruptcy laws) while industry fixed…

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  • February 28, 2019Miscellaneous

    How to fit a cubic spline in R?

    How to fit a cubic spline in R? The idea here is to transform the variables and add a linear combination of the variables using…

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  • February 28, 2019Contributing

    Why is OLS estimator normally distributed?

    Why is OLS estimator normally distributed? The reason this estimator is normally distributed is that it is a linear function of the underlying error vector…

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  • February 28, 2019Popular

    Is linear discriminant analysis a classifier?

    Is linear discriminant analysis a classifier? Linear discriminant analysis is not just a dimension reduction tool, but also a robust classification method. With or without…

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