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stat.ME2026
Deep Simulation-Based Inference for Inhomogeneous Bivariate Log-Gaussian Cox Processes
Qihan Zou, Yan Wang, Tingjin Chu +1
We propose a computationally efficient simulation-based estimation method with a two-step procedure for inhomogeneous bivariate Log-Gaussian Cox Processes. It combines classical Po…
stat.ME2024
High-dimensional Covariance Estimation by Pairwise Likelihood Truncation
Alessandro Casa, Davide Ferrari, Zhendong Huang
Pairwise likelihood is a useful approximation to the full likelihood function for covariance estimation in high-dimensional context. It simplifies high-dimensional dependencies by…
stat.ME2021
Fast construction of optimal composite likelihoods
Zhendong Huang, Davide Ferrari
A composite likelihood is a combination of low-dimensional likelihood objects useful in applications where the data have complex structure. Although composite likelihood constructi…