Search Results for author: Andrew R. Lawrence

Found 2 papers, 1 papers with code

Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data

1 code implementation16 Apr 2021 Andrew R. Lawrence, Marcus Kaiser, Rui Sampaio, Maksim Sipos

We propose a flexible and simple to use framework for generating time series data, which is aimed at developing, evaluating, and benchmarking time series causal discovery methods.

Causal Discovery Time Series

DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures

no code implementations12 Jul 2018 Andrew R. Lawrence, Carl Henrik Ek, Neill D. F. Campbell

We present a non-parametric Bayesian latent variable model capable of learning dependency structures across dimensions in a multivariate setting.

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