arXiv stat.CO Computation
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[2026-01-20 Tue (UTC), no new articles found for statCO Computation]
January 20, 2026 at 6:58 AM
[2026-01-20 Tue (UTC), no new articles found for statCO Computation]
Reposted by arXiv stat.CO Computation
Soma Nikai, Yuichi Goto, Koji Tsukuda: Robust $M$-Estimation of Scatter Matrices via Precision Structure Shrinkage https://arxiv.org/abs/2601.11099 https://arxiv.org/pdf/2601.11099 https://arxiv.org/html/2601.11099
January 19, 2026 at 6:53 AM
Soma Nikai, Yuichi Goto, Koji Tsukuda: Robust $M$-Estimation of Scatter Matrices via Precision Structure Shrinkage https://arxiv.org/abs/2601.11099 https://arxiv.org/pdf/2601.11099 https://arxiv.org/html/2601.11099
Reposted by arXiv stat.CO Computation
Kisung You: Constant Metric Scaling in Riemannian Computation https://arxiv.org/abs/2601.10992 https://arxiv.org/pdf/2601.10992 https://arxiv.org/html/2601.10992
January 19, 2026 at 6:32 AM
Kisung You: Constant Metric Scaling in Riemannian Computation https://arxiv.org/abs/2601.10992 https://arxiv.org/pdf/2601.10992 https://arxiv.org/html/2601.10992
Radhika Kulkarni, Aluisio Pinheiro, Brani Vidakovic, Abdourrahmane M. Atto: Smooth SCAD: A Raised Cosine SCAD Type Thresholding Rule for Wavelet Denoising https://arxiv.org/abs/2601.11461 https://arxiv.org/pdf/2601.11461 https://arxiv.org/html/2601.11461
January 19, 2026 at 6:53 AM
Radhika Kulkarni, Aluisio Pinheiro, Brani Vidakovic, Abdourrahmane M. Atto: Smooth SCAD: A Raised Cosine SCAD Type Thresholding Rule for Wavelet Denoising https://arxiv.org/abs/2601.11461 https://arxiv.org/pdf/2601.11461 https://arxiv.org/html/2601.11461
Yiping Hong, Sameh Abdulah, Marc G. Genton, Ying Sun: Fisher Scoring for Exact Mat\'ern Covariance Estimation through Stable Smoothness Optimization https://arxiv.org/abs/2601.11437 https://arxiv.org/pdf/2601.11437 https://arxiv.org/html/2601.11437
January 19, 2026 at 6:53 AM
Yiping Hong, Sameh Abdulah, Marc G. Genton, Ying Sun: Fisher Scoring for Exact Mat\'ern Covariance Estimation through Stable Smoothness Optimization https://arxiv.org/abs/2601.11437 https://arxiv.org/pdf/2601.11437 https://arxiv.org/html/2601.11437
Sebastiano Grazzi, Sifan Liu, Gareth O. Roberts, Jun Yang: Sub-Cauchy Sampling: Escaping the Dark Side of the Moon https://arxiv.org/abs/2601.11066 https://arxiv.org/pdf/2601.11066 https://arxiv.org/html/2601.11066
January 19, 2026 at 6:52 AM
Sebastiano Grazzi, Sifan Liu, Gareth O. Roberts, Jun Yang: Sub-Cauchy Sampling: Escaping the Dark Side of the Moon https://arxiv.org/abs/2601.11066 https://arxiv.org/pdf/2601.11066 https://arxiv.org/html/2601.11066
[2026-01-19 Mon (UTC), 3 new articles found for statCO Computation]
January 19, 2026 at 6:52 AM
[2026-01-19 Mon (UTC), 3 new articles found for statCO Computation]
Reposted by arXiv stat.CO Computation
Raphael Buchm\"uller, Dennis Collaris, Linhao Meng, Angelos Chatzimparmpas: LangLasso: Interactive Cluster Descriptions through LLM Explanation https://arxiv.org/abs/2601.10458 https://arxiv.org/pdf/2601.10458 https://arxiv.org/html/2601.10458
January 16, 2026 at 6:32 AM
Raphael Buchm\"uller, Dennis Collaris, Linhao Meng, Angelos Chatzimparmpas: LangLasso: Interactive Cluster Descriptions through LLM Explanation https://arxiv.org/abs/2601.10458 https://arxiv.org/pdf/2601.10458 https://arxiv.org/html/2601.10458
Reposted by arXiv stat.CO Computation
Bilel Bousselmi, Gabriela Ciuperca: Model selection by cross-validation in an expectile linear regression https://arxiv.org/abs/2601.09874 https://arxiv.org/pdf/2601.09874 https://arxiv.org/html/2601.09874
January 16, 2026 at 6:53 AM
Bilel Bousselmi, Gabriela Ciuperca: Model selection by cross-validation in an expectile linear regression https://arxiv.org/abs/2601.09874 https://arxiv.org/pdf/2601.09874 https://arxiv.org/html/2601.09874
Reposted by arXiv stat.CO Computation
Hong Ye Tan, Stanley Osher, Wuchen Li: Accelerated Regularized Wasserstein Proximal Sampling Algorithms https://arxiv.org/abs/2601.09848 https://arxiv.org/pdf/2601.09848 https://arxiv.org/html/2601.09848
January 16, 2026 at 6:53 AM
Hong Ye Tan, Stanley Osher, Wuchen Li: Accelerated Regularized Wasserstein Proximal Sampling Algorithms https://arxiv.org/abs/2601.09848 https://arxiv.org/pdf/2601.09848 https://arxiv.org/html/2601.09848
Constantin Vaillant Tenzer: Mesh Denoising https://arxiv.org/abs/2601.10487 https://arxiv.org/pdf/2601.10487 https://arxiv.org/html/2601.10487
January 16, 2026 at 6:53 AM
Constantin Vaillant Tenzer: Mesh Denoising https://arxiv.org/abs/2601.10487 https://arxiv.org/pdf/2601.10487 https://arxiv.org/html/2601.10487
Dylan Borchert, Semhar Michael, Christopher Saunders: Estimation of Parameters of the Truncated Normal Distribution with Unknown Bounds https://arxiv.org/abs/2601.09857 https://arxiv.org/pdf/2601.09857 https://arxiv.org/html/2601.09857
January 16, 2026 at 6:53 AM
Dylan Borchert, Semhar Michael, Christopher Saunders: Estimation of Parameters of the Truncated Normal Distribution with Unknown Bounds https://arxiv.org/abs/2601.09857 https://arxiv.org/pdf/2601.09857 https://arxiv.org/html/2601.09857
[2026-01-16 Fri (UTC), 2 new articles found for statCO Computation]
January 16, 2026 at 6:53 AM
[2026-01-16 Fri (UTC), 2 new articles found for statCO Computation]
Reposted by arXiv stat.CO Computation
Ha Nguyen, Sumanta Basu: LARGE: A Locally Adaptive Regularization Approach for Estimating Gaussian Graphical Models https://arxiv.org/abs/2601.09686 https://arxiv.org/pdf/2601.09686 https://arxiv.org/html/2601.09686
January 15, 2026 at 6:54 AM
Ha Nguyen, Sumanta Basu: LARGE: A Locally Adaptive Regularization Approach for Estimating Gaussian Graphical Models https://arxiv.org/abs/2601.09686 https://arxiv.org/pdf/2601.09686 https://arxiv.org/html/2601.09686
Reposted by arXiv stat.CO Computation
Rongqian Zhang, Elena Tuzhilina, Jun Young Park: Sparse covariate-driven factorization of high-dimensional brain connectivity with application to site effect correction https://arxiv.org/abs/2601.09525 https://arxiv.org/pdf/2601.09525 https://arxiv.org/html/2601.09525
January 15, 2026 at 6:54 AM
Rongqian Zhang, Elena Tuzhilina, Jun Young Park: Sparse covariate-driven factorization of high-dimensional brain connectivity with application to site effect correction https://arxiv.org/abs/2601.09525 https://arxiv.org/pdf/2601.09525 https://arxiv.org/html/2601.09525
Reposted by arXiv stat.CO Computation
Nawaf Bou-Rabee, Siddharth Mitra, Andre Wibisono: Tail-Sensitive KL and R\'enyi Convergence of Unadjusted Hamiltonian Monte Carlo via One-Shot Couplings https://arxiv.org/abs/2601.09019 https://arxiv.org/pdf/2601.09019 https://arxiv.org/html/2601.09019
January 15, 2026 at 6:54 AM
Nawaf Bou-Rabee, Siddharth Mitra, Andre Wibisono: Tail-Sensitive KL and R\'enyi Convergence of Unadjusted Hamiltonian Monte Carlo via One-Shot Couplings https://arxiv.org/abs/2601.09019 https://arxiv.org/pdf/2601.09019 https://arxiv.org/html/2601.09019
Reposted by arXiv stat.CO Computation
Sven Wang: Global polynomial-time estimation in statistical nonlinear inverse problems via generalized stability https://arxiv.org/abs/2601.09007 https://arxiv.org/pdf/2601.09007 https://arxiv.org/html/2601.09007
January 15, 2026 at 6:41 AM
Sven Wang: Global polynomial-time estimation in statistical nonlinear inverse problems via generalized stability https://arxiv.org/abs/2601.09007 https://arxiv.org/pdf/2601.09007 https://arxiv.org/html/2601.09007
Guillermina Senn, H{\aa}kon Tjelmeland, Nathan Glatt-Holtz, Matt Walker, Andrew Holbrook: Bayesian Semi-Blind Deconvolution at Scale https://arxiv.org/abs/2601.09677 https://arxiv.org/pdf/2601.09677 https://arxiv.org/html/2601.09677
January 15, 2026 at 6:53 AM
Guillermina Senn, H{\aa}kon Tjelmeland, Nathan Glatt-Holtz, Matt Walker, Andrew Holbrook: Bayesian Semi-Blind Deconvolution at Scale https://arxiv.org/abs/2601.09677 https://arxiv.org/pdf/2601.09677 https://arxiv.org/html/2601.09677
[2026-01-15 Thu (UTC), 1 new article found for statCO Computation]
January 15, 2026 at 6:53 AM
[2026-01-15 Thu (UTC), 1 new article found for statCO Computation]
Reposted by arXiv stat.CO Computation
Howard C. Gifford: Likelihood ratio for a binary Bayesian classifier under a noise-exclusion model https://arxiv.org/abs/2601.07982 https://arxiv.org/pdf/2601.07982 https://arxiv.org/html/2601.07982
January 14, 2026 at 6:31 AM
Howard C. Gifford: Likelihood ratio for a binary Bayesian classifier under a noise-exclusion model https://arxiv.org/abs/2601.07982 https://arxiv.org/pdf/2601.07982 https://arxiv.org/html/2601.07982
Reposted by arXiv stat.CO Computation
Roy Shivam Ram Shreshtth, Arnab Hazra, Gourab Mukherjee: A Statistical Assessment of Amortized Inference Under Signal-to-Noise Variation and Distribution Shift https://arxiv.org/abs/2601.07944 https://arxiv.org/pdf/2601.07944 https://arxiv.org/html/2601.07944
January 14, 2026 at 6:54 AM
Roy Shivam Ram Shreshtth, Arnab Hazra, Gourab Mukherjee: A Statistical Assessment of Amortized Inference Under Signal-to-Noise Variation and Distribution Shift https://arxiv.org/abs/2601.07944 https://arxiv.org/pdf/2601.07944 https://arxiv.org/html/2601.07944
Abylay Zhumekenov, Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas: Particle Filtering for a Class of State-Space Models with Low and Degenerate Observational Noise https://arxiv.org/abs/2601.08411 https://arxiv.org/pdf/2601.08411 https://arxiv.org/html/2601.08411
January 14, 2026 at 6:54 AM
Abylay Zhumekenov, Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas: Particle Filtering for a Class of State-Space Models with Low and Degenerate Observational Noise https://arxiv.org/abs/2601.08411 https://arxiv.org/pdf/2601.08411 https://arxiv.org/html/2601.08411
[2026-01-14 Wed (UTC), 1 new article found for statCO Computation]
January 14, 2026 at 6:54 AM
[2026-01-14 Wed (UTC), 1 new article found for statCO Computation]
Reposted by arXiv stat.CO Computation
Roman Hornung, Alexander Hapfelmeier: Unity Forests: Improving Interaction Modelling and Interpretability in Random Forests https://arxiv.org/abs/2601.07003 https://arxiv.org/pdf/2601.07003 https://arxiv.org/html/2601.07003
January 13, 2026 at 6:53 AM
Roman Hornung, Alexander Hapfelmeier: Unity Forests: Improving Interaction Modelling and Interpretability in Random Forests https://arxiv.org/abs/2601.07003 https://arxiv.org/pdf/2601.07003 https://arxiv.org/html/2601.07003
Reposted by arXiv stat.CO Computation
The Tien Mai, Sayantan Banerjee: Censored Graphical Horseshoe: Bayesian sparse precision matrix estimation with censored and missing data https://arxiv.org/abs/2601.06671 https://arxiv.org/pdf/2601.06671 https://arxiv.org/html/2601.06671
January 13, 2026 at 6:53 AM
The Tien Mai, Sayantan Banerjee: Censored Graphical Horseshoe: Bayesian sparse precision matrix estimation with censored and missing data https://arxiv.org/abs/2601.06671 https://arxiv.org/pdf/2601.06671 https://arxiv.org/html/2601.06671