Image de couverture de livre

Data Nuggets: A Method for Reducing Big Data While Preserving Data Structure

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Beavers, Traymon E., Cheng, Ge, Duan, Yajie, Cabrera, Javier, Lubomirski, Mariusz, Amaratunga, Dhammika, Teigler, Jeffrey E.
Format:	Preprint
Publié:	2024
Sujets:	Methodology Computation 62:0
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Bagging cross-validated bandwidths with application to Big Data
par: Barreiro-Ures, Daniel, et autres
Publié: (2024)

Subbagging Variable Selection for Big Data
par: Li, Xian, et autres
Publié: (2025)

A Percentile-Focused Regression Method for Applied Data with Irregular Error Structures
par: Elamir, Elsayed
Publié: (2026)

High-Dimensional Knockoffs Inference for Time Series Data
par: Chi, Chien-Ming, et autres
Publié: (2021)

DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
par: Klaassen, Sven, et autres
Publié: (2024)

Geodesic Synthetic Control Methods for Random Objects and Functional Data
par: Kurisu, Daisuke, et autres
Publié: (2025)

Differentially Private Linear Regression with Linked Data
par: Lin, Shurong, et autres
Publié: (2023)

PCA-Guided Quantile Sampling: Preserving Data Structure in Large-Scale Subsampling
par: Hui-Mean, Foo, et autres
Publié: (2025)

Quick and Simple Kernel Differential Equation Regression Estimators for Data with Sparse Design
par: Ge, Chunlei, et autres
Publié: (2024)

Testing Normality of Data Transformed by Maximum Likelihood Box Cox
par: Hawkins, Douglas M
Publié: (2024)

Semi-supervised Classification for Functional Data with Application to Astronomical Spectra Analysis
par: Tan, Ruoxu, et autres
Publié: (2026)

Estimation of the genetic Gaussian network using GWAS summary data
par: Yang, Yihe, et autres
Publié: (2024)

Univariate-Guided Sparse Regression for Biobank-Scale High-Dimensional Omics Data
par: Richland, Joshua, et autres
Publié: (2025)

Statistical Inference with Stochastic Gradient Methods under $ϕ$-mixing Data
par: Liu, Ruiqi, et autres
Publié: (2023)

Statistical Inferences and Predictions for Areal Data and Spatial Data Fusion with Hausdorff--Gaussian Processes
par: Godoy, Lucas da Cunha, et autres
Publié: (2022)

Detecting Mild Traumatic Brain Injury with MEG Scan Data: One-vs-K-Sample Tests
par: Zhang, Jian, et autres
Publié: (2025)

Optimal Multi-Wave Validation of Secondary Use Data with Outcome and Exposure Misclassification
par: Lotspeich, Sarah C., et autres
Publié: (2021)

Unveiling land use dynamics: Insights from a hierarchical Bayesian spatio-temporal modelling of Compositional Data
par: Figueira, Mario, et autres
Publié: (2024)

Inference for Functional Data under Markov Constraints
par: Naepels, Ulysse, et autres
Publié: (2026)

Bayesian Estimation and Regularization Techniques in Categorical Data Analysis
par: Kalina, Jan
Publié: (2025)

Local Quasi-Exponential Growth Models: Kernel Differential Equation Regression and Sparse Data
par: Ge, Chunlei, et autres
Publié: (2025)

Multimodal Distributions for Circular Axial Data
par: Fernández-Durán, et autres
Publié: (2025)

Online Prediction For Streaming Observational Data
par: Clarke, Bertrand, et autres
Publié: (2025)

A Reduced Basis Decomposition Approach to Efficient Data Collection in Pairwise Comparison Studies
par: Jiang, Jiahua, et autres
Publié: (2025)

Exploring Multivariate Data Using Median Absolute Deviation Depth
par: Elamir, Elsayed
Publié: (2026)

Penalized KLIC Model Selection for the Generalized Method of Moments in Longitudinal Data with Time-Dependent Covariates
par: Hasan, Mahmud, et autres
Publié: (2026)

Copula Modelling of Serially Correlated Multivariate Data with Hidden Structures
par: Zimmerman, Robert, et autres
Publié: (2022)

Bayesianize Fuzziness in the Statistical Analysis of Fuzzy Data
par: Calcagnì, Antonio, et autres
Publié: (2025)

Regression Discontinuity Designs for Functional Data and Random Objects in Geodesic Spaces
par: Kurisu, Daisuke, et autres
Publié: (2025)

A Kolmogorov-Smirnov-Type Test for Dependently Double-Truncated Data
par: Toparkus, Anne-Marie, et autres
Publié: (2025)

A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data
par: Costa, Efthymios, et autres
Publié: (2024)

Empowering Multi-class Classification for Multivariate Functional Data with Simultaneous Feature Selection
par: Wang, Shuoyang, et autres
Publié: (2025)

Goodness-of-fit Tests for Combined Unilateral and Bilateral Data
par: Zhou, Jia, et autres
Publié: (2025)

REAMP: A Stochastic Resonance Approach for Multi-Change Point Detection in High-Dimensional Data
par: Shi, Xiaoping, et autres
Publié: (2026)

New Tests of Randomness for Circular Data
par: Gehlot, Shriya, et autres
Publié: (2025)

Joint Modeling of Longitudinal and Survival Data: A Bayesian Approach for Predicting Disease Progression
par: Suryadevara, Nithisha, et autres
Publié: (2025)

Delaunay Weighted Two-sample Test for High-dimensional Data by Incorporating Geometric Information
par: Gu, Jiaqi, et autres
Publié: (2024)

Handling Missing Data in Probabilistic Regression Trees: Methods and Implementation in R
par: Prass, Taiane Schaedler, et autres
Publié: (2025)

Regression Models for Directional Data Based on Nonnegative Trigonometric Sums
par: Fernández-Durán, J. J., et autres
Publié: (2023)

Independence Testing for Mixed Data
par: Jelić, Dana Bucalo, et autres
Publié: (2025)