Browsing by Subject "Gaussian processes"
Now showing items 1-3 of 3
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Bayesian interaction estimation with high-dimensional dependent predictors
(2021)Humans are constantly exposed to mixtures of different chemicals arising from environmental contamination. While certain compounds, such as heavy metals and mercury, are well known to be toxic, there are many complex mixtures ... -
Gaussian Process Kernels for Cross-Spectrum Analysis in Electrophysiological Time Series
(2016)Multi-output Gaussian processes provide a convenient framework for multi-task problems. An illustrative and motivating example of a multi-task problem is multi-region electrophysiological time-series data, where experimentalists ... -
Gaussian Process-Based Models for Clinical Time Series in Healthcare
(2018)Clinical prediction models offer the ability to help physicians make better data-driven decisions that can improve patient outcomes. Given the wealth of data available with the widespread adoption of electronic health records, ...
