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statistics-theory
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· documents ABOUT statistics-theory across the archive
651
Documents about statistics-theory
Documents about statistics-theory
Recursive-Head Geometry and Order-Free Efficient Inference in Finite-State Nested Markov Models
#1011651
arXiv (All)
Minimax optimality for sequential gradient-free minimization of smooth functions and their derivatives
#1012850
arXiv (All)
A variational approach to the generalized Fisher transformation of correlation matrices
#1013239
arXiv (All)
Optimistic Estimation of Convergence in Markov Chains with the Average-Mixing Time
#1014456
arXiv (All)
A Smoothed Discrepancy Principle for Random Feature Methods and Neural Networks
#1034987
arXiv (All)
Recovery Limits for Eigenvector Alignment in HDLSS Spiked Covariance Models
#1048830
arXiv (All)
Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models
#1049845
arXiv (All)
Nonparametric spectral density estimation using interactive mechanisms under local differential privacy
#1050748
arXiv (All)
Chaos Is a LADDER: Domain Generalization Beyond Invariance via Reweighting
#1052252
arXiv (All)
On the relationship between MESP and 0/1 D-Opt and their upper bounds
#664070
arXiv (OAI Expanded)
First-order asymptotic expansions for spectral convergence of compact self-adjoint operators on general spectral subsets, with application to kernel Gram matrices
#664138
arXiv (OAI Expanded)
On the relationship between MESP and 0/1 D-Opt and their upper bounds
#665570
arXiv (All)
First-order asymptotic expansions for spectral convergence of compact self-adjoint operators on general spectral subsets, with application to kernel Gram matrices
#665638
arXiv (All)
Topics in Statistics: Statistical Learning Theory
#3221
MIT OpenCourseWare
Exact Recovery of Community Detection in dependent Gaussian Mixture Models
#131179
arXiv (OAI)
Consistency of variational inference for Besov priors in non-linear inverse problems
#147141
arXiv (OAI)
Diffusion Approximations for Thompson Sampling in the Small Gap Regime
#158590
arXiv (OAI)
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
#160779
arXiv (OAI)
Randomly initialized autoencoders: fixed points and edge-of-chaos
#609075
arXiv (OAI Expanded)
Multiplier Bootstrap and Edge Phase Transitions of High-Dimensional Covariance Matrices
#611006
arXiv (OAI Expanded)
Multiplier Bootstrap and Edge Phase Transitions of High-Dimensional Covariance Matrices
#612483
arXiv (All)
A Primer on Digital Health N-of-1 Studies and Single-Case Designs
#616185
arXiv (OAI Expanded)
A Primer on Digital Health N-of-1 Studies and Single-Case Designs
#616685
arXiv (All)
Learning What to Learn: Experimental Design when Combining Experimental with Observational Evidence
#627987
arXiv (OAI Expanded)
Learning What to Learn: Experimental Design when Combining Experimental with Observational Evidence
#629849
arXiv (All)
Asymptotic behavior of large combinatorial structures
#634927
eScholarship
Complexity of Lasso with Normalized Data, Geometry and Combinatorics
#650558
arXiv (OAI Expanded)
Complexity of Lasso with Normalized Data, Geometry and Combinatorics
#652011
arXiv (All)
Bartlett Couplings of the Onion and Vine LKJ Samplers
#668662
arXiv (OAI Expanded)
Bartlett Couplings of the Onion and Vine LKJ Samplers
#670727
arXiv (All)
A Dynamic Likelihood Approach to Filtering for Advection-Diffusion Dynamics
#674131
arXiv (OAI Expanded)
Phase transition of Schott's statistic for high-dimensional heavy-tailed data
#674439
arXiv (OAI Expanded)
A Dynamic Likelihood Approach to Filtering for Advection-Diffusion Dynamics
#677328
arXiv (All)
Phase transition of Schott's statistic for high-dimensional heavy-tailed data
#677640
arXiv (All)
Limit results for distributed estimation of invariant subspaces in multiple networks inference and PCA
#682366
arXiv (OAI Expanded)
Limit results for distributed estimation of invariant subspaces in multiple networks inference and PCA
#684141
arXiv (All)
An Operator-Theoretic Characterization of Gaussian Measure Singularity under Mean Shifts
#808794
arXiv (OAI Expanded)
An Operator-Theoretic Characterization of Gaussian Measure Singularity under Mean Shifts
#818786
arXiv (All)
Ideal Observer for Segmentation of Dead Leaves Images
#820293
arXiv (All)
Logarithmic-Free Moment and Generalization Bounds for Uniformly Stable Algorithms
#820601
arXiv (All)
Uncovering the topology of an infinite-server queueing network from population data
#927136
arXiv (All)
Almost Sharp Equivalence between Approximate Message Passing and Low-Degree Polynomials
#975061
arXiv (All)
Context Tree Prior Distributions based on Node Weighting with exact Bayes Factors
#986838
arXiv (All)
Parametric bootstrap simultaneous confidence interval based on doubly type-II censoring
#996836
arXiv (All)
Linear quasi-shrinkage estimator for high-dimensional optimization with linear constraints
#1000452
arXiv (All)
Royen's proof of the Gaussian correlation inequality as a supersymmetric dimensional reduction
#1012204
arXiv (All)
On the continuity of the Tukey depth function for fuzzy data
#1012512
arXiv (All)
A Heavily Right Strategy for Statistical Inference with Dependent Studies in Arbitrary Dimensions
#1013396
arXiv (All)
Counterexamples and Sufficient Conditions: Comments on "Optimally-Transported Generalized Method of Moments"
#1034028
arXiv (All)
On the consistency of the posterior distribution for nonlinear PDE parameter identification
#1048562
arXiv (All)
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