:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Proksch, Katharina, Weitkamp, Christoph Alexander, Staudt, Thomas, Lelandais, Benoît, Zimmer, Christophe
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Methodology
Accesso online:	https://arxiv.org/abs/2205.07689
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A two-sample test based on averaged Wilcoxon rank sums over interpoint distances
di: Betken, Annika, et al.
Pubblicazione: (2024)

Fatigue detection via sequential testing of biomechanical data using martingale statistic
di: Basu, Rupsa, et al.
Pubblicazione: (2023)

A Scale-Invariant Entropy Statistic for Distance Distributions
di: Gewily, Mohamed
Pubblicazione: (2026)

Prior Effective Sample Size When Borrowing on the Treatment Effect Scale
di: Zhang, Hongtao, et al.
Pubblicazione: (2024)

Robust Bayesian Modeling with Adaptive Posterior FDR Control for Large-Scale Data
di: Hayashi, Yoshiko
Pubblicazione: (2024)

Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference
di: Shen, Shuting, et al.
Pubblicazione: (2023)

Modeling Large Nonstationary Spatial Data with the Full-Scale Basis Graphical Lasso
di: LeDuc, Matthew, et al.
Pubblicazione: (2025)

Accounting for Measurement Bias: A New Framework for Reliable Country Ranking in Large-Scale Educational Assessments
di: Ouyang, Jing, et al.
Pubblicazione: (2025)

Non-Homogeneous Markov-Switching Generalized Additive Models for Location, Scale, and Shape
di: Ammann, Katharina, et al.
Pubblicazione: (2026)

Scaling Reproducibility: An AI-Assisted Workflow for Large-Scale Replication and Reanalysis
di: Xu, Yiqing, et al.
Pubblicazione: (2026)

Multidimensional Scaling for Interval Data: INTERSCAL
di: Winsberg, Susanne, et al.
Pubblicazione: (2024)

A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses
di: Zeng, Zhenghao, et al.
Pubblicazione: (2021)

Wasserstein Regression with Empirical Measures and Density Estimation for Sparse Data
di: Zhou, Yidong, et al.
Pubblicazione: (2023)

Scaling Causal Mediation for Complex Systems: A Framework for Root Cause Analysis
di: Casadei, Alessandro, et al.
Pubblicazione: (2025)

Large Scale Partial Correlation Screening with Uncertainty Quantification
di: Neo, Emily, et al.
Pubblicazione: (2025)

Don't Let Your Likert Scales Grow Up To Be Visual Analog Scales: Understanding the Relationship Between Number of Response Categories and Measurement Error
di: Sun, Siqi, et al.
Pubblicazione: (2025)

Identification and Scaling of Latent Variables in Ordinal Factor Analysis
di: Merkle, Edgar C., et al.
Pubblicazione: (2025)

Geometric Model Selection for Latent Space Network Models: Hypothesis Testing via Multidimensional Scaling and Resampling Techniques
di: Wang, Jieyun, et al.
Pubblicazione: (2025)

Large-scale Data Integration using Matrix Denoising and Geometric Factor Matching
di: Held, Felix
Pubblicazione: (2024)

Core-Elements for Large-Scale Least Squares Estimation
di: Li, Mengyu, et al.
Pubblicazione: (2022)

Generalized Multivariate Functional Additive Mixed Models for Location, Scale, and Shape
di: Volkmann, Alexander, et al.
Pubblicazione: (2024)

Large-Scale Low-Rank Gaussian Process Prediction with Support Points
di: Song, Yan, et al.
Pubblicazione: (2022)

Distributed Pseudo-Likelihood Method for Community Detection in Large-Scale Networks
di: Deng, Jiayi, et al.
Pubblicazione: (2024)

Large-Scale Multiple Testing of Composite Null Hypotheses Under Heteroskedasticity
di: Gang, Bowen, et al.
Pubblicazione: (2023)

Unifiedly Efficient Inference on All-Dimensional Targets for Large-Scale GLMs
di: Fu, Bo, et al.
Pubblicazione: (2025)

The (Surprising) Sample Optimality of Greedy Procedures for Large-Scale Ranking and Selection
di: Li, Zaile, et al.
Pubblicazione: (2023)

Empirical Bayes Method for Large Scale Multiple Testing with Heteroscedastic Errors
di: Seo, Kwangok, et al.
Pubblicazione: (2025)

Response Style Characterization for Repeated Measures Using the Visual Analogue Scale
di: Minusa, Shunsuke, et al.
Pubblicazione: (2024)

From Unsupervised to Guided Clustering: A Variational Implementation
di: Courrier, Violaine, et al.
Pubblicazione: (2026)

Semi-Implicit Approaches for Large-Scale Bayesian Spatial Interpolation
di: Garneau, Sébastien, et al.
Pubblicazione: (2025)

Large-Scale Curve Time Series with Common Stochastic Trends
di: Li, Degui, et al.
Pubblicazione: (2025)

Policy-Aware Design of Large-Scale Factorial Experiments
di: Wen, Xin, et al.
Pubblicazione: (2026)

False Discovery Rate Control for Fast Screening of Large-Scale Genomics Biobanks
di: Machkour, Jasin, et al.
Pubblicazione: (2024)

Transfer Learning with Large-Scale Quantile Regression
di: Jin, Jun, et al.
Pubblicazione: (2022)

Measuring the Driving Forces of Predictive Performance: Application to Credit Scoring
di: Sullivan, Hué, et al.
Pubblicazione: (2022)

A Hybrid Latent-Class Item Response Model for Detecting Measurement Non-Invariance in Ordinal Scales
di: Wallin, Gabriel, et al.
Pubblicazione: (2026)

Design-Based Inference for the AUC with Complex Survey Data
di: Iparragirre, Amaia, et al.
Pubblicazione: (2026)

Scale Reliant Inference
di: Nixon, Michelle Pistner, et al.
Pubblicazione: (2022)

Small Area Estimation Methods for Multivariate Health and Demographic Outcomes using Complex Survey Data
di: Schumacher, Austin E, et al.
Pubblicazione: (2025)

Neural Network-Based Change Point Detection for Large-Scale Time-Evolving Data
di: Geng, Jialiang, et al.
Pubblicazione: (2025)