Copertina

The Quadratic Optimization Bias Of Large Covariance Matrices

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gurdogan, Hubeyb, Shkolnik, Alex
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Statistics Theory Applications
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Robust Rank Estimation for Noisy Matrices
di: Roy, Subhrajyoty, et al.
Pubblicazione: (2025)

Parameterization of Copulas and Covariance Decay of Stochastic Processes
di: Pumi, Guilherme, et al.
Pubblicazione: (2012)

Change Point Detection in Pairwise Comparison Data with Covariates
di: Han, Yi, et al.
Pubblicazione: (2024)

Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment
di: Sun, Jiren, et al.
Pubblicazione: (2024)

Asymptotic Expansion and Bounds for the Bias of Empirical Tail Value-at-Risk
di: Gribkova, Nadezhda, et al.
Pubblicazione: (2026)

Intrinsic Bayesian Cramér-Rao Bound with an Application to Covariance Matrix Estimation
di: Bouchard, Florent, et al.
Pubblicazione: (2023)

Optimal Data Splitting for Holdout Cross-Validation in Large Covariance Matrix Estimation
di: Lamrani, Lamia, et al.
Pubblicazione: (2025)

The piranha problem: Large effects swimming in a small pond
di: Tosh, Christopher, et al.
Pubblicazione: (2021)

Large-Sample Bayesian Approximations for Privatized Data
di: Awan, Jordan, et al.
Pubblicazione: (2026)

Apply Bayes Theorem to Optimize IVR Authentication Process
di: Xie, Jingrong, et al.
Pubblicazione: (2025)

Tensor Topic Modeling Via HOSVD
di: Liu, Yating, et al.
Pubblicazione: (2024)

Model-assisted estimation of domain totals, areas, and densities in two-stage sample survey designs
di: Andersen, Hans-Erik, et al.
Pubblicazione: (2024)

Bayesian Inference for Estimating Heat Sources through Temperature Assimilation
di: Mousavi, Hanieh, et al.
Pubblicazione: (2024)

On the minimum strength of (unobserved) covariates to overturn an insignificant result
di: Tsao, Danielle, et al.
Pubblicazione: (2024)

Functional ANOVA approaches for detecting changes in air pollution during the COVID-19 pandemic
di: Acal, Christian, et al.
Pubblicazione: (2024)

On Conditional least squares estimation for the AD(1,n) model
di: Alaya, Mohamed Ben, et al.
Pubblicazione: (2024)

Dynamic clustering for heterophilic stochastic block models with time-varying node memberships
di: Lin, Kevin Z, et al.
Pubblicazione: (2024)

Trimmed Mean for Partially Observed Functional Data
di: Wang, Yixiao
Pubblicazione: (2024)

Movement-based models for abundance data
di: Vergara, Ricardo Carrizo, et al.
Pubblicazione: (2024)

Privacy enhanced collaborative inference in the Cox proportional hazards model for distributed data
di: Hu, Mengtong, et al.
Pubblicazione: (2024)

Sampling effects on Lasso estimation of drift functions in high-dimensional diffusion processes
di: Amorino, Chiara, et al.
Pubblicazione: (2024)

Statistical inference using debiased group graphical lasso for multiple sparse precision matrices
di: Bhowal, Sayan Ranjan, et al.
Pubblicazione: (2025)

Understanding statistics for biomedical research through the lens of replication
di: Llewelyn, Huw
Pubblicazione: (2025)

On the relation between Global VAR Models and Matrix Time Series Models with Multiple Terms
di: Kidik, Dietmar Bauer Kurtulus
Pubblicazione: (2026)

A Langevin sampler for quantum tomography
di: Adel, Tameem, et al.
Pubblicazione: (2026)

Finite-Sample Decision Instability in Threshold-Based Process Capability Approval
di: Jiang, Fei, et al.
Pubblicazione: (2026)

Spectral co-Clustering in Multi-layer Directed Networks
di: Su, Wenqing, et al.
Pubblicazione: (2023)

Confidence Intervals Using Turing's Estimator: Simulations and Applications
di: Chang, Jie, et al.
Pubblicazione: (2025)

On the unification of zero-adjusted cure survival models
di: Louzada, Francisco, et al.
Pubblicazione: (2019)

Learning Smooth Populations of Parameters with Trial Heterogeneity
di: Lee, JungHo, et al.
Pubblicazione: (2025)

A Data-Consistent Approach to Ensemble Filtering
di: Spence, Rylan, et al.
Pubblicazione: (2026)

Using low-cost sensors to improve NO2 concentration maps derived from physico-chemical models
di: Thulliez, Emma, et al.
Pubblicazione: (2025)

Rate-optimal and computationally efficient nonparametric estimation on the circle and the sphere
di: Georgiadis, Athanasios G., et al.
Pubblicazione: (2025)

Sequential One-Sided Hypothesis Testing of Markov Chains
di: Fields, Greg, et al.
Pubblicazione: (2025)

A Regression-Based Approach to the CO2 Airborne Fraction: Enhancing Statistical Precision and Tackling Zero Emissions
di: Bennedsen, Mikkel, et al.
Pubblicazione: (2023)

Pseudo-Poisson Distributions with Nonlinear Conditional Rates
di: Lakhani, Jared N.
Pubblicazione: (2025)

A GARMA Framework for Unit-Bounded Time Series Based on the Unit-Lindley Distribution with Application to Renewable Energy Data
di: Pumi, Guilherme, et al.
Pubblicazione: (2025)

A Comprehensive Framework for Evaluating Time to Event Predictions using the Restricted Mean Survival Time
di: Cwiling, Ariane, et al.
Pubblicazione: (2023)

A Non-parametric Approach to Inference about the Tail of a Continuous or a Discrete Distribution
di: Zhang, Jialin, et al.
Pubblicazione: (2022)

Time series on compact spaces, with an application to dynamic modeling of relative abundance data in Ecology
di: Franchi, Guillaume, et al.
Pubblicazione: (2023)