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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
Belted Engression: Sufficient Dimension Reduction for Generative Distributional Regression
#1049524
arXiv (All)
Analysis of expectations regarding shopping malls and areas among Malaysian consumers using continuous latent block clustering model
#342871
Springer Nature OA
Empirical Measures and Strong Laws of Large Numbers in Categorical Probability
#139138
arXiv (OAI)
Statistical Impossibility and Possibility of Aligning LLMs with Human Preferences: From Condorcet Paradox to Nash Equilibrium
#189245
arXiv (OAI)
Approximation rates for finite mixtures of location-scale models and fast least-squares estimators
#160930
arXiv (OAI)
Efficient Time Recursive Coherence Spectrum Estimation
#178015
Lund University Publications
The entropic optimal (self-)transport problem: Limit distributions for decreasing regularization with application to score function estimation
#179101
arXiv (OAI)
Handover of In-Context Learning State Across Session Boundaries
#609685
arXiv (All)
On Stopping Times of Power-one Sequential Tests: Tight Lower and Upper Bounds
#617319
arXiv (OAI Expanded)
On Stopping Times of Power-one Sequential Tests: Tight Lower and Upper Bounds
#617819
arXiv (All)
On Rates Attainable under Random Design: A Negative Answer to a Problem of Robins
#618693
arXiv (OAI Expanded)
On Rates Attainable under Random Design: A Negative Answer to a Problem of Robins
#620372
arXiv (All)
Empirical Bayes linear regression in high dimensions: Method of moments and sub-linear sample complexity
#623055
arXiv (OAI Expanded)
Empirical Bayes linear regression in high dimensions: Method of moments and sub-linear sample complexity
#625328
arXiv (All)
Efficient Inference for Inverse Reinforcement Learning and Dynamic Discrete Choice Models
#650711
arXiv (OAI Expanded)
Double Machine Learning of Continuous Treatment Effects with Additive Instrumental Variables
#650715
arXiv (OAI Expanded)
Efficient Inference for Inverse Reinforcement Learning and Dynamic Discrete Choice Models
#652164
arXiv (All)
Double Machine Learning of Continuous Treatment Effects with Additive Instrumental Variables
#652168
arXiv (All)
On efficiency gains via augmenting a tiny sample with a massive auxiliary sample
#779379
arXiv (OAI Expanded)
On efficiency gains via augmenting a tiny sample with a massive auxiliary sample
#780754
arXiv (All)
Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets
#789372
arXiv (OAI Expanded)
Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets
#793376
arXiv (All)
Scale Analysis and Shape Selection for the Generalized Gaussian Mechanism under Approximate Differential Privacy
#809166
arXiv (OAI Expanded)
Seeing the Forest for the Trees: The Gaussian Process Limit of BART
#809440
arXiv (OAI Expanded)
Scale Analysis and Shape Selection for the Generalized Gaussian Mechanism under Approximate Differential Privacy
#819158
arXiv (All)
Seeing the Forest for the Trees: The Gaussian Process Limit of BART
#819433
arXiv (All)
Nonparametric inference for density-dependent McKean--Vlasov diffusions
#821136
arXiv (All)
Bayesian Inference for High-dimensional Time Series with a Stationary Directed Acyclic Graphical Structure
#821692
arXiv (All)
Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics
#925681
arXiv (All)
Spectral Convergence of Random Feature Method in Multiple Dimensions
#926325
arXiv (All)
Semiparametric Estimation of Delayed-Outcome Treatment Effects Using Short-Term Surrogates under Administrative Censoring
#926970
arXiv (All)
On tail-robust autocovariance matrix estimation for high-dimensional and potentially nonstationary time series
#927708
arXiv (All)
Geometric Fluctuations of the $\sinΘ$ Distance in High-Dimensional Principal Subspace Estimation
#984651
arXiv (All)
The EM-algorithm and the Method of Moments in Softmax Mixture Models
#984809
arXiv (All)
Information Geometry for Wasserstein KL Divergence of Gaussian Measures on $\mathbb{R}^n$
#984841
arXiv (All)
Statistical Inference for Additive Monotone Models under the Fixed Lattice Design
#985801
arXiv (All)
A bootstrap approach for testing invariance under parameterized group actions: orthogonal reflections and axial symmetry
#986222
arXiv (All)
Improved Variance Estimation in Homoskedastic Nonparametric Random-Design Regression via a Two-Scale Approach
#986420
arXiv (All)
Gaussian Processes and Reproducing Kernel Hilbert Spaces: Connections and Equivalences
#987445
arXiv (All)
A Two-Sample Test for Random Persistence Diagrams Against Alternatives Characterized by Persistence Intensity Differences
#987758
arXiv (All)
Small noise asymptotics for linear parabolic SPDEs in two space dimensions with unknown damping factors
#998714
arXiv (All)
From Good Starts to Optimal Inference: Generalized Latent Factor Models with Missingness and Implicit Regularization
#999429
arXiv (All)
Bernstein-von Mises theorem for sparse generalized linear models
#999797
arXiv (All)
A global spectral gap for Metropolis-adjusted Langevin algorithm with a uniformly randomized step size
#1012325
arXiv (All)
Reliability inference for semi-Markov models based on multiple trajectories
#1013267
arXiv (All)
Optimal sequencing depth for single-cell RNA-sequencing in Wasserstein space
#1013388
arXiv (All)
Spherical Cauchy Variational Autoencoders: Heavy Angular Tails and Exact KL Evaluation
#1013427
arXiv (All)
Total Variation Distance between Product Distributions: an Analytic Proxy
#1035019
arXiv (All)
Parallelism, critical windows, and separations among diffusion language models
#1035660
arXiv (All)
Patnaik-Pearson intrinsic dimension for internal representations of neural networks
#1048707
arXiv (All)
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