activity
20182026
most citedFlexible model selection for mechanistic network models

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning

Sixing Chen, Ji-An Li, Saner Cakir +3

Large language models (LLMs), especially reasoning models, generate extended chain-of-thought (CoT) reasoning that often contains explicit deliberation over future outcomes. Yet wh…

stat.ME2020

Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries

Louis Raynal, Sixing Chen, Antonietta Mira +1

Approximate Bayesian computation (ABC) is a simulation-based likelihood-free method applicable to both model selection and parameter estimation. ABC parameter estimation requires t…

stat.AP2019

Efficient vaccination strategies for epidemic control using network information

Yingrui Yang, Ashley McKhann, Sixing Chen +2

Network-based interventions against epidemic spread are most powerful when the full network structure is known. However, in practice, resource constraints require decisions to be m…

stat.ME2018

A Bootstrap Method for Goodness of Fit and Model Selection with a Single Observed Network

Sixing Chen, Jukka-Pekka Onnela

Network models are applied in numerous domains where data can be represented as a system of interactions among pairs of actors. While both statistical and mechanistic network model…

stat.ME2018★ 4 cited

Flexible model selection for mechanistic network models

Sixing Chen, Antonietta Mira, Jukka-Pekka Onnela

Network models are applied across many domains where data can be represented as a network. Two prominent paradigms for modeling networks are statistical models (probabilistic model…