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Bayesian liability threshold model

Let $\bf{y}$ denote a vector of binary data, such as whether a group of individuals suffer from a particular disease, and let $\bf{X}$ denote a matrix of potential predictors, including an intercept ...
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Identifying anomalies multiple time series using statistical methods

I am trying to detect anomalies from a Time Series sequence, that is calculated as an aggregate count of multiple unique Time Series'. For example, in the graph below: We have aggregate counts shown ...
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I'm wondering how much differ in these two kinds of model when comes to predict discrete choice. Consider a data-set explanatory $\boldsymbol{x}$ and response $\boldsymbol{y}$ where $\boldsymbol{y} \... 0answers 14 views How to check whether a given ARIMA (p, d, q) process is stationary or not? I know that a finite MA process$X_t = \Theta(B)Z_t$is always stationary. Also, whether an AR(p) process is stationary or not can be verified by checking the roots of$\Phi(B)=0$where the process ... 0answers 3 views ROC for Logistic Regression in SPSS [on hold] I have a data set with rare events and I want to set an optimal cutoff point for my binomial logistic regression. How can I generate an ROC curve of different cutoffs to determine the optimal one. ... 1answer 25 views How can I apply the Poisson ($\mu\$) distribution to two series of random draws?

I have the following question: A box contains 1000 balls, of which 2 are black and the rest are white. If two series of 1000 draws are made at random from this box, what approximately, is the chance ...