Category: Statistics

An Introduction to Causal Inference with Gaussian Processes, Part I

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[TEST-ONLY] Introduction Recently, we developed a novel approach for causal inference in time series data [Ambrogioni et al., 2017]. We call this method ‘GP CaKe’, which stands for Gaussian Processes with Causal Kernels, and it does not only have a tasty acronym, but also provides an elegant combination of the attractive features of vector autoregression models […]

The 5 Basic Statistics Concepts Data Scientists Need to Know

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Statistics can be a powerful tool when performing the art of Data Science (DS). From a high-level view, statistics is the use of mathematics to perform technical analysis of data. A basic visualisation such as a bar chart might give you some high-level information, but with statistics we get to operate on the data in […]