Art or science? Choosing the right regression model
SAS' Udo Sglavo and Jan Chvosta discuss the power of a regression framework and choosing the correct regression model.
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The knapsack problem: Binary integer programming in SAS/IML
Many optimization problems in statistics and machine learning involve continuous parameters. For example, maximum likelihood estimation involves optimizing a log-likelihood function over a continuous domain, possibly with constraints. Recently, however, I had to solve an optimization problem for which the solution vector was a 0/1 binary variable. To solve the
Responding to virtual mental health care needs: a 1-on-1 with CAMH CEO, Tracey MacArthur
Overlapping social issues and additional uncertainties – not to mention a global pandemic - have led to a massive spike in people seeking mental health support. Much of that extra demand has been absorbed virtually. Canada’s Centre for Addiction and Mental Health, for example, has seen its monthly demand for