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INDEX

Every paper Pith has read and judged, in one searchable index.

1,389 reviewed papers in math.ST · newest first · page 2

Pith rank means recent reader upvotes with each upvote's ranking weight halved after 24 hours. The archive itself is sorted by arXiv submission date.

  1. math.ST arXiv submitted 2026-07-09
    Bayes’ rule for possibility: multiply then take the sup

    Jeremie Houssineau +1 · “From Bayes' Rule to Bayes Rules: Optimal Information Processing and Axiomatic Foundations Beyond Probability”

    2607.08019
  2. math.ST arXiv submitted 2026-07-08
    One series makes the logistic-normal integral stably computable

    Dan Pirjol · “The logistic-normal integral and the moments of the logistic-normal distribution”

    2607.07889
  3. math.ST arXiv submitted 2026-07-08
    Geometric proof recovers sharp risk bound for basis pursuit

    Gil Kur +1 · “Minimum Norm Interpolation via The Local Theory of Banach Spaces: The Role of Gaussianity”

    2607.07694
  4. math.ST arXiv submitted 2026-07-08
    Sampling turns size gaps into rates for growing models

    Eitan Levin +1 · “Any-Dimensional Learning by Sampling”

    2607.07680
  5. quant-ph arXiv submitted 2026-07-08
    Quantum toolkit cuts sample complexity for power-sum functionals from α² to α

    Qisheng Wang · “Towards Minimax Estimation of High-Order Functionals by Quantum Arguments”

    2607.07540
  6. cs.LG arXiv submitted 2026-07-08
    No gradients needed: metric reshapes space to bridge modes

    Ricardo Baptista +1 · “Gradient-free Riemannian Langevin Sampler”

    2607.07519
  7. math.ST arXiv submitted 2026-07-08
    Plug-in SPMLE estimates survive non-uniqueness and nonresponse

    Eitan Greenshtein +1 · “Empirical Bayes Estimation of the Mean of a Function of the Latent Variable with Applications to the Treatment of Nonresponse”

    2607.07516
  8. cs.LG arXiv submitted 2026-07-08
    Why self-supervised learning needs so few labels: an O(1/n) rate

    Adam M. Oberman · “Fast Rates for Semi-Supervised Learning via Data-Augmentation Graph Regularization”

    2607.07513
  9. stat.ML arXiv submitted 2026-07-08
    Sparse recovery rates for nonlinear inverse problems proven optimal

    Abhishake Rastogi +3 · “Statistical inverse learning and $\ell^1$-regularization”

    2607.07468
  10. math.ST arXiv submitted 2026-07-08
    Optimal rate found for minimizing derivatives from noisy queries

    Arya Akhavan +2 · “Gradient-free stochastic optimization of derivatives under strong convexity”

    2607.07249
  11. math.ST arXiv submitted 2026-07-08
    One randomization step unifies three families of FDR tests

    Mingzhou Deng +1 · “The Randomized BH Procedure: A Generalized Framework Encompassing Conformal and Competition Tests”

    2607.07245
  12. math.ST arXiv submitted 2026-07-08
    Copula density from stochastic inversion factors as base times weight

    Alexander J. McNeil +1 · “Stochastic Inversion of Multivariate Uniform-Distribution-Preserving Transformations”

    2607.07174
  13. math.ST arXiv submitted 2026-07-08
    Extropy of consecutive-k systems derived

    Aman Pandey +1 · “A Study on Cumulative Residual Extropy of Linear Consecutive k-out-of-n:G Systems”

    2607.06992
  14. math.ST arXiv submitted 2026-07-08
    Smaller-variance Gaussians win on convex sets above the median

    Colin B. Fogarty · “Gaussian comparison above the median”

    2607.06874
  15. math.ST arXiv submitted 2026-07-07
    Best subset recovery needs no full combinatorial log term

    Maxim Fedotov (Universitat Pompeu Fabra) · “Best Subset Selection in Linear Regression: Fixed-Design Error Bounds and Insights for Random Designs”

    2607.06835
  16. math.PR arXiv submitted 2026-07-07
    Any SK temperature mixes fast with a large enough field

    Afonso S. Bandeira +2 · “Mixing of Glauber Dynamics on High Overlap Gibbs Measures”

    2607.06813
  17. math.ST arXiv submitted 2026-07-07
    EM recovers forcing in nonlinear McKean-Vlasov SDEs

    Eduardo Gutierrez-Turner +2 · “Expectation-Maximization algorithm to estimate the forcing parameter of a nonlinear McKean-Vlasov diffusion”

    2607.06714
  18. stat.ME arXiv submitted 2026-07-07
    One scalar calibrates shrinkage covariance monitors across elliptical returns

    Ahmad Koman · “Error Propagation in Spectral Functionals of Shrinkage Covariance Estimators: Perturbation Bounds and Calibrated Inference”

    2607.06373
  19. econ.EM arXiv submitted 2026-07-07
    Sparse-group LASSO beats standard LASSO for mixed-frequency panels

    Andrii Babii +3 · “Factor-Augmented Machine Learning Panel Regressions”

    2607.06368
  20. math.ST arXiv submitted 2026-07-07
    One risk criterion unifies shrinkage and thresholding

    Wei Jiang · “Approximate Risk Minimization Over Shrinking-Thresholding Rules in Normal Mean Estimation”

    2607.06367
  21. math.ST arXiv submitted 2026-07-07
    Spectral algorithm estimates causal bilinear forms directly from staggered tensor panels

    Alberto Bordino +2 · “Direct and efficient estimation of bilinear forms in staggered tensor panels”

    2607.06330
  22. math.ST arXiv submitted 2026-07-07
    Some imprecise copulas from alternating sign matrices lose coherence

    Toma\v{z} Ko\v{s}ir +2 · “Discrete imprecise copulas and alternating sign matrices”

    2607.06178
  23. math.ST arXiv submitted 2026-07-07
    Closed-form radial link replaces fitted splines in elliptical classification

    Serhii Zabolotnii · “Closed-form fractional radial links for elliptical Mahalanobis discriminant analysis”

    2607.06089
  24. math.ST arXiv submitted 2026-07-07
    GBS step-down hits the sharp sparse-testing minimax rate

    Prasenjit Ghosh · “Sharp Asymptotic Minimaxity of the Gavrilov-Benjamini-Sarkar Step-Down Testing Procedure in Sparse Gaussian Sequence Models”

    2607.05893
  25. stat.ME arXiv submitted 2026-07-06
    Leave-one-out variance stays unbiased as covariates grow

    Kalil Bouhadra +1 · “High-Dimensional Variance Estimation for the Generalized Regression Estimator”

    2607.05570
  26. math.ST arXiv submitted 2026-07-06
    Periodic test breaks focused-width conjecture by √log n

    Gao Huang · “Focused Width in Adversarial Fake Detection: A Separation”

    2607.05379
  27. math.ST arXiv submitted 2026-07-06
    Edgeworth expansion for rank statistics via Stein's method and combinatorial coupling

    Walter Schneller · “Edgeworth Expansions for Linear Rank Statistics -- Consolidated Version”

    2607.05284
  28. math.PR arXiv submitted 2026-07-06
    Kurtosis buys an exact four-regime map for one-sided tails

    Xiaoyu Li +3 · “The Exact Worst-Case Tail Probability under Bounded Kurtosis”

    2607.05226
  29. math.PR arXiv submitted 2026-07-06
    Kurtosis Bound Yields Exact Worst-Case Tail Map

    Xiaoyu Li +3 · “The Exact Worst-Case Tail Probability under Bounded Kurtosis”

    2607.05226
  30. math.ST arXiv submitted 2026-07-06
    Exact minimax risk pinned down for uniformity testing

    Alon Kipnis · “Sharp Lower Bound on the Minimax Risk for Multinomial Uniformity Testing via a Conditional Central Limit Theorem”

    2607.05223
  31. math.ST arXiv submitted 2026-07-06
    Perturb the revenue gap, not every assortment

    Pengyu Li +1 · “Post-Learning Inference for Combinatorial Optimizers with High-Dimensional Sparse Contextual Information via Minimal Directional Perturbation”

    2607.05024
  32. math.ST arXiv submitted 2026-07-06
    Ridge estimator hits minimax prediction rate for functional AR

    Andr\'e Mas (IMAG) +1 · “Minimax prediction in the Functional Autoregressive Model”

    2607.04823
  33. math.ST arXiv submitted 2026-07-06
    Same-sample HOIFs stay √n-stable without sample splits

    Na Liu +3 · “Stabilized Higher-Order Influence Functions: Statistical Theory of a Class of Bilinear Forms”

    2607.04743
  34. stat.ME arXiv submitted 2026-07-06
    Nearest-neighbor test for mean independence

    Anirban Chatterjee +2 · “Conditional Mean Independence and Global Sensitivity Analysis using Nearest Neighbor Graphs”

    2607.04692
  35. math.ST arXiv submitted 2026-07-06
    One model joins weather curves and yearly data to map pollution drivers

    Xinwen Liu +2 · “A Partially Functional Dynamic Structural Equation Model for Multi-Resolution Environmental Data”

    2607.04641
  36. math.PR arXiv submitted 2026-07-05
    Gaussian smoothing near corners is set by the tangent cone

    Nicolas Brosse +1 · “Boundary-layer asymptotics for Gaussian-smoothed singular measures”

    2607.04514
  37. math.ST arXiv submitted 2026-07-05
    Multiproposal pCN mixes with rates free of dimension and p

    Giulia Carigi +3 · “On the mixing properties of some preconditioned multiproposal Markov Chain Monte Carlo algorithms”

    2607.04466
  38. math.PR arXiv submitted 2026-07-05
    Elementary proof recovers the classic DKW-Massart bound

    Jean-Yves Le Boudec · “An Elementary Proof of the Dvoretzky--Kiefer--Wolfowitz--Massart Inequality”

    2607.04387
  39. math.ST arXiv submitted 2026-07-05
    Spatial depth alone pins down every probability law

    Alberto Gonz\'alez-Sanz +1 · “Spatial depth characterizes probability measures”

    2607.04375
  40. math.ST arXiv submitted 2026-07-05
    For any fixed breakdown point

    Subhrajyoty Roy +3 · “Universally Optimal Robustness-Efficiency Tradeoffs for a General Class of Minimum Divergence Estimators”

    2607.04343
  41. stat.ME arXiv submitted 2026-07-05
    One auxiliary variable can flip regression signs on demand

    Jie Hu +1 · “Sign Hacking with Auxiliary Variable Exploration in the Age of Big Data”

    2607.04078
  42. math.ST arXiv submitted 2026-07-04
    MA(1) likelihood has exactly 8(n-1) complex critical points

    Carlos Am\'endola +1 · “Likelihood Geometry of Moving Average and Autoregressive Processes”

    2607.04046
  43. math.PR arXiv submitted 2026-07-04
    Stein recursion solves Wilks’ 1934 Wishart-minor moment problem

    Robert E. Gaunt +1 · “On Wilks' problem: Exact recursive formulas via Stein's method for the joint moments of disjoint principal minors of Wishart random matrices”

    2607.03984
  44. math.ST arXiv submitted 2026-07-04
    GBS step-down testing matches the Bayes Oracle under sparsity

    Prasenjit Ghosh +1 · “Asymptotic Bayes Optimality Under Sparsity of the Gavrilov-Benjamini-Sarkar Step-Down Testing Procedure”

    2607.03719
  45. cs.LG arXiv submitted 2026-07-04
    Neural maps learn spectral features with a tunable Dirichlet metric

    Varvara Nazarenko +2 · “PIEFS: Physics-Informed Eigenfunction Features with Learnable Scaling”

    2607.03692
  46. math.PR arXiv submitted 2026-07-03
    Signed BAR uniqueness holds for M-matrices

    Yiping Lu +1 · “An AI-Assisted Solution to the Signed BAR Conjecture: Uniqueness in the Harrison--Reiman Class and a Completely-$\mathcal{S}$ Class Obstruction”

    2607.03639
  47. math.ST arXiv submitted 2026-07-03
    Ignore correlations, still get near-optimal empirical Bayes rates

    Qiyang Han +1 · “Empirical Bayes for correlated Gaussian sequence model”

    2607.03596
  48. math.ST arXiv submitted 2026-07-03
    EUM under-controls

    Yijian Huang · “Tightening Control in Neyman--Pearson Linear Classification”

    2607.03590
  49. math.ST arXiv submitted 2026-07-03
    Dense hypotheses force comeager failure for finite-precision tests

    Hanti Lin · “Meager Success: A Theory of the Unlearnable for Hypothesis Testing”

    2607.03518
  50. math.ST arXiv submitted 2026-07-03
    Tiny subsets can beat the full sample mean by factorials

    Dina Barak-Pelleg +1 · “Power and Limits of Subset Selection in Statistical Estimation”

    2607.03391