# All Questions

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### Proportion Comparison

I have data from baseline and end line surveys. Baseline was conducted before intervention in children and end-line was conducted after intervention in the same population. Study population is same ...
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### Least Squares Estimation of Poisson Parameter

"Assume independent random variables $Y_i$~$Poisson(λx_i)$. Supposing that $x_i$ are given, fixed constants, obtain the least squares estimator of $λ$ and compute its variance." This kind of a ...
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### MLE == MAP under Uniform Prior?

Does Maximum Likelihood Estimation always yield the same result as Maximum a Posteriori with uniform prior?
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### Event level driven response modeling

I am investigating operational and maintenance data for a fielded system. There is a year worth of data. The operational data has been reduced to fault indications, which are triggered when ...
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### Name for outer product of gradient approximation of Hessian

Is there a name for approximating the Hessian as the outer product of the gradient with itself? If one is approximating the Hessian of the log-loss, then the outer product of the gradient with itself ...
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### What do the dip test output parameters mean?

This may sound like a silly question, but I'm not a statistician, mathematician, or programmer, really. I did quite a bit of googling, including looking into Stack Exchange, but couldn't find a clear ...
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### Understanding and applying Item Response Theory

In the process of designing a quiz application that can assess the student for understanding of a particular concept, I came across Item Response Theory. I have absolutely no clue whether applying ...
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### scikit-learn Gaussian Process regression with custom kernel

I would like to use Gaussian Process regression for the first time, with the covariance kernel $\frac{\beta^{\alpha}}{(x + x' + \beta) ^ \alpha}$ where $\alpha$ and $\beta$ are hyperparameters. I ...
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### Obtain factor scores in data set with missing values

I would like to obtain factor scores after factor analyzing data that contain missing values. I'm using Stata 13 to run the analysis. Here is the basic code (borrowed from the UCLA site): ...
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### Cran Package from Google for Forecasting multivariate time series [on hold]

Recently, i saw the package that can forecasting multivariate time series and evaluate the effects of variables like promotion at main time series. Please help me to find it again