1 citations · 1 across the 7 of their papers we have counts for
7 papers
A Martingale Kernel Independence Test
Felix Laumann, Zhaolu Liu, Mauricio Barahona
The Hilbert-Schmidt Independence Criterion (HSIC) and its joint-independence extension are degenerate -statistics whose data-dependent weighted- null limit…
Information-theoretic signatures of causality in Bayesian networks and hypergraphs
Sung En Chiang, Zhaolu Liu, Robert L. Peach +1
Analyzing causality in multivariate systems involves establishing how information is generated, distributed and combined. Traditional causal discovery frameworks are capable of mul…
Permutation-Free High-Order Interaction Tests
Zhaolu Liu, Robert L. Peach, Mauricio Barahona
Kernel-based hypothesis tests offer a flexible, non-parametric tool to detect high-order interactions in multivariate data, beyond pairwise relationships. Yet the scalability of su…
Information-Theoretic Measures on Lattices for High-Order Interactions
Zhaolu Liu, Mauricio Barahona, Robert L. Peach
Traditional measures based solely on pairwise associations often fail to capture the complex statistical structure of multivariate data. Existing approaches for identifying informa…
Patterns of co-occurrent skills in UK job adverts
Zhaolu Liu, Jonathan M. Clarke, Bertha Rohenkohl +1
A job usually involves the application of several complementary or synergistic skills to perform its required tasks. Such relationships are implicitly recognised by employers in th…
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions
Zhaolu Liu, Robert L. Peach, Pedro A. M. Mediano +1
Models that rely solely on pairwise relationships often fail to capture the complete statistical structure of the complex multivariate data found in diverse domains, such as socio-…
Kernel-based Joint Independence Tests for Multivariate Stationary and Non-stationary Time Series
Zhaolu Liu, Robert L. Peach, Felix Laumann +2
Multivariate time series data that capture the temporal evolution of interconnected systems are ubiquitous in diverse areas. Understanding the complex relationships and potential d…