Introduces TSBM, a new Bayesian model for directed networks that enforces ordered blocks via transitivity-inducing priors on directional imbalance and jointly infers block count with an age-ordered partition prior.
George and Robert E
11 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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Introduces zero-inflated Gaussian distributions for EDAs to jointly optimize sparsity patterns and active parameter values without bi-level schemes or custom operators.
Proposes a scale-calibrated median-of-means estimator for robust aggregation of distributed PCA estimates on the product of Euclidean space and Grassmann manifold.
The profile maximum likelihood estimator for the location in anisotropic hyperbolic wrapped normal models is strongly consistent, asymptotically normal, and attains the Hájek-Le Cam minimax lower bound under squared geodesic loss.
Joint location-scale minimization for geometric medians on product manifolds degenerates to marginal medians, and three new scale-selection methods restore identifiability with asymptotic guarantees.
UMI is an asymmetric version of the Tukey bisquare estimator with upper-RMS scaling that improves transit signal recovery while running much faster on GPUs.
StatsClaw is a multi-agent AI workflow that separates code implementation, data simulation, and testing via information barriers to produce faithful statistical software while keeping human control over methodological choices.
A robust test for isotropy in 2D lattice data is introduced using robust variogram estimators and block permutation resampling to control significance levels under strong dependence and outliers.
A nine-camera multi-view workflow with 4D Gaussian Splatting reconstructs dynamic vessel surfaces in thrombectomy phantoms to enable standardized comparative displacement and stress-proxy tracking.
citing papers explorer
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Ordering Stochastic Block Models via prior transitivity
Introduces TSBM, a new Bayesian model for directed networks that enforces ordered blocks via transitivity-inducing priors on directional imbalance and jointly infers block count with an age-ordered partition prior.
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Zero-Inflated Gaussian Distributions Enable Parameter-Space Sparsity in Estimation-of-Distribution Algorithms
Introduces zero-inflated Gaussian distributions for EDAs to jointly optimize sparsity patterns and active parameter values without bi-level schemes or custom operators.
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Scale-Calibrated Median-of-Means for Robust Distributed Principal Component Analysis
Proposes a scale-calibrated median-of-means estimator for robust aggregation of distributed PCA estimates on the product of Euclidean space and Grassmann manifold.
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Profile Likelihood Inference for Anisotropic Hyperbolic Wrapped Normal Models on Hyperbolic Space
The profile maximum likelihood estimator for the location in anisotropic hyperbolic wrapped normal models is strongly consistent, asymptotically normal, and attains the Hájek-Le Cam minimax lower bound under squared geodesic loss.
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Scale selection for geometric medians on product manifolds
Joint location-scale minimization for geometric medians on product manifolds degenerates to marginal medians, and three new scale-selection methods restore identifiability with asymptotic guarantees.
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UMI: GPU-Accelerated Asymmetric Robust Estimator for Photometric Detrending in Exoplanet Transit Searches
UMI is an asymmetric version of the Tukey bisquare estimator with upper-RMS scaling that improves transit signal recovery while running much faster on GPUs.
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StatsClaw: An AI-Collaborative Workflow for Statistical Software Development
StatsClaw is a multi-agent AI workflow that separates code implementation, data simulation, and testing via information barriers to produce faithful statistical software while keeping human control over methodological choices.
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A robust nonparametric test for spatial isotropy in lattice data
A robust test for isotropy in 2D lattice data is introduced using robust variogram estimators and block permutation resampling to control significance levels under strong dependence and outliers.
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4D Vessel Reconstruction for Benchtop Thrombectomy Analysis
A nine-camera multi-view workflow with 4D Gaussian Splatting reconstructs dynamic vessel surfaces in thrombectomy phantoms to enable standardized comparative displacement and stress-proxy tracking.
- Sensitivity analysis for causal mediation: bridge score, sharp sensitivity bounds, and calibration
- Sticky CIR process with potential: invariant measure and exact sampling