Cover Image

Streamlining business functions in official statistical production with Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Barragán, Sandra, Pérez-Bote, Adrián, Sáez, Carlos, Salgado, David, Sanguiao-Sande, Luis
Format:	Preprint
Published:	2025
Subjects:	Applications Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A statistical framework for analyzing activity pattern from GPS data
by: Wu, Haoyang, et al.
Published: (2025)

A Bayesian nonlinear stationary model with multiple frequencies for business cycle analysis
by: Lenart, Łukasz, et al.
Published: (2024)

Alternative statistical inference for the first normalized incomplete moment
by: Lu, Jiannan, et al.
Published: (2025)

ROC curve analysis for functional markers
by: Bianco, Ana M., et al.
Published: (2024)

A statistical framework for dynamic cognitive diagnosis in digital learning environments
by: Ma, Yawen, et al.
Published: (2025)

A nonparametric statistical method for deconvolving densities in the analysis of proteomic data
by: Anarat, Akin, et al.
Published: (2025)

Generalized logistic model for $r$ largest order statistics, with hydrological application
by: Shin, Yire, et al.
Published: (2024)

A spatio-temporal statistical framework for heatwave attribution under climate change
by: Gasser, Kamal, et al.
Published: (2026)

Estimation of finite population proportions for small areas -- a statistical data integration approach
by: Sen, Aditi, et al.
Published: (2023)

Transporting Predictions via Double Machine Learning: Predicting Partially Unobserved Students' Outcomes
by: Bargagli-Stoffi, Falco J., et al.
Published: (2025)

Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning
by: Murphy-Barltrop, C. J. R., et al.
Published: (2026)

Modeling climate extremes using the four-parameter kappa distribution for $r$-largest order statistics
by: Shin, Yire, et al.
Published: (2020)

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required)
by: Renson, Audrey, et al.
Published: (2025)

A non-parametric U-statistic testing approach for multi-arm clinical trials with multivariate longitudinal data
by: Ghosh, Dhrubajyoti, et al.
Published: (2024)

Learning from limited temporal data: Dynamically sparse historical functional linear models with applications to Earth science
by: Janssen, Joseph, et al.
Published: (2023)

A new statistical approach for joint modeling of longitudinal outcomes measured in electronic health records with clinically informative presence and observation processes
by: Du, Jiacong, et al.
Published: (2024)

Multiple Imputation of Hierarchical Nonlinear Time Series Data with an Application to School Enrollment Data
by: Liu, Daphne H., et al.
Published: (2024)

A framework for statistical modelling of the extremes of longitudinal data, applied to elite swimming
by: Spearing, Jess, et al.
Published: (2023)

Generalized Jeffreys's approximate objective Bayes factor: Model-selection consistency, finite-sample accuracy, and statistical evidence in 71,126 clinical trial findings
by: Velidi, Puneet, et al.
Published: (2025)

Causal inference with a functional outcome
by: Ecker, Kreske, et al.
Published: (2023)

Data Integration and spatio temporal statistics can quantify relative risk of medico-legal reforms: the example of police emergency mental health responses in Queensland (Australia)
by: Dorji, Nidup, et al.
Published: (2025)

Toward a practical handbook for choosing among causal inference methods in non-randomized studies with binary outcomes: A simulation study for applied researchers
by: Aurensanz-Crespo, Adrián, et al.
Published: (2026)

Quantile regression with generalized multiquadric loss function
by: Gao, Wenwu, et al.
Published: (2025)

Which depth to use to construct functional boxplots?
by: Nagy, Stanislav, et al.
Published: (2024)

Differential item functioning via robust scaling
by: Halpin, Peter F.
Published: (2022)

A novel generalized additive scalar-on-function regression model for partially observed multidimensional functional data: An application to air quality classification
by: Hernández-Amaro, Pavel, et al.
Published: (2025)

Bayes factor functions for testing partial correlation coefficients
by: Datta, Saptati
Published: (2025)

Bayesian estimation of clustered dependence structures in functional neuroconnectivity
by: Kim, Hyoshin, et al.
Published: (2023)

Inhomogeneous mark correlation functions for general marked point processes
by: Moradi, Mehdi, et al.
Published: (2025)

Surrogate modeling with functional nonlinear autoregressive models (F-NARX)
by: Schär, Styfen, et al.
Published: (2024)

A statistical framework for comparing epidemic forests
by: Geismar, Cyril, et al.
Published: (2025)

On the Asymptotic Normality of Trimmed and Winsorized L-statistics
by: Poudyal, Chudamani
Published: (2024)

Comparing baseball players across eras via novel Full House Modeling
by: Yan, Shen, et al.
Published: (2022)

Spatiotemporal factor models for functional data with application to population map forecast
by: Wakayama, Tomoya, et al.
Published: (2023)

The general linear hypothesis testing problem for multivariate functional data with applications
by: Zhu, Tianming
Published: (2023)

Missing Values Handling for Machine Learning Portfolios
by: Chen, Andrew Y., et al.
Published: (2022)

Accounting for variable detection functions in temporal abundance modeling via transfer learning
by: Collins, Kevin M., et al.
Published: (2026)

Projection-based two-sample inference for sparsely observed multivariate functional data
by: Koner, Salil, et al.
Published: (2023)

Dynamic survival analysis: modelling the hazard function via ordinary differential equations
by: Christen, J. A., et al.
Published: (2023)

A Bayesian functional model with multilevel partition priors for group studies in neuroscience
by: Margaritella, Nicolò, et al.
Published: (2023)