An Approximate Control Variates Approach to Multifidelity Distribution Estimation: An approximate control variates approach to multifidelity distribution estimation

Συγγραφείς: Ruijian Han, Boris Kramer, Dongjin Lee, Akil Narayan, Yiming Xu

Πηγή: SIAM/ASA Journal on Uncertainty Quantification. 12:1349-1388

Θεματικοί όροι: FOS: Computer and information sciences, model selection, Linear regression, mixed models, Nonparametric robustness, Monte Carlo methods, robustness, Numerical Analysis (math.NA), Statistics - Computation, Statistics - Applications, 01 natural sciences, control variates, multifidelity, Asymptotic properties of nonparametric inference, distribution estimation, FOS: Mathematics, Applications (stat.AP), Mathematics - Numerical Analysis, 0101 mathematics, Computational methods for problems pertaining to statistics, Nonparametric estimation, Computation (stat.CO)

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2303.06422

Projection predictive variable selection for discrete response families with finite support

Συγγραφείς: Frank Weber, Änne Glass, Aki Vehtari

Πηγή: Computational Statistics. 40:701-721

Θεματικοί όροι: FOS: Computer and information sciences, post-selection inference, 05 social sciences, ordinal, nominal, 02 engineering and technology, Bayesian, 01 natural sciences, Methodology (stat.ME), 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, 62F15 (Primary) 62F07, 62J99 (Secondary), 0101 mathematics, Computational methods for problems pertaining to statistics, Statistics - Methodology, variable selection

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2301.01660

Robust Bayesian cumulative probit linear mixed models for longitudinal ordinal data

Συγγραφείς: Kuo-Jung Lee, Ray-Bing Chen, Keunbaik Lee

Πηγή: Computational Statistics. 40:441-468

Θεματικοί όροι: hypersphere decomposition, MCMC, correlation matrix, random effects, Computational methods for problems pertaining to statistics

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: https://zbmath.org/8014970
https://doi.org/10.1007/s00180-024-01499-w

Debiased transfer learning estimation and inference for multinomial regression

Συγγραφείς: Yang, Jichen, Wang, Lei, Lian, Heng

Πηγή: Statistics and Computing. 35

Θεματικοί όροι: source detection, Parametric tolerance and confidence regions, Ridge regression, shrinkage estimators (Lasso), Classification and discrimination, cluster analysis (statistical aspects), asymptotic normality, debiased Lasso, nodewise quadratic programming, Computational methods for problems pertaining to statistics, confidence intervals

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: https://zbmath.org/8029197
https://doi.org/10.1007/s11222-025-10607-9

Bayesian analysis of doubly semiparametric mixture cure models with interval-censored data

Συγγραφείς: Liu, Xiaoyu, Xiang, Liming

Πηγή: Statistics and Computing. 35

Θεματικοί όροι: Censored data models, interval censoring, Bayesian inference, augmentation, Bayesian analysis, Estimation in survival analysis and censored data, splines, Computational methods for problems pertaining to statistics, mixture cure model, Applications of statistics to biology and medical sciences, meta analysis

Περιγραφή αρχείου: application/xml

Metropolis-adjusted interacting particle sampling

Συγγραφείς: Sprungk, Björn, Weissmann, Simon, Zech, Jakob

Πηγή: Statistics and Computing. 35

Θεματικοί όροι: interacting particle systems, Bayesian inference, Monte Carlo methods, Mathematics - Numerical Analysis, Computational methods for problems pertaining to statistics, Metropolis-Hastings, Statistics - Computation

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2312.13889
https://zbmath.org/8029188
https://doi.org/10.1007/s11222-025-10595-w

Hyperparameter optimization for randomized algorithms: a case study on random features

Συγγραφείς: Dunbar, Oliver R. A., Nelsen, Nicholas H., Mutic, Maya

Πηγή: Statistics and Computing. 35

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Machine Learning, hyperparameter learning, Bayesian inference, Bayesian inverse problems, Machine Learning (stat.ML), Statistics - Computation, ensemble Kalman inversion, Machine Learning (cs.LG), Statistics - Machine Learning, random features, Computational methods for problems pertaining to statistics, Gaussian process regression, Computation (stat.CO)

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2407.00584
https://zbmath.org/8005884
https://doi.org/10.1007/s11222-025-10587-w

Anisotropic multidimensional smoothing using Bayesian tensor product P-splines

Συγγραφείς: Bach, Paul, Klein, Nadja

Πηγή: Statistics and Computing, 35 (2), Art.-Nr.: 43

Θεματικοί όροι: ddc:004, FOS: Computer and information sciences, Generalized linear models (logistic models), Kronecker sum, penalized splines, DATA processing & computer science, 05 social sciences, functional ANOVA decomposition, multivariate smoothing, Statistics - Computation, 01 natural sciences, Methodology (stat.ME), Functional data analysis, Markov chain Monte Carlo, 0502 economics and business, Nonparametric regression and quantile regression, 0101 mathematics, Computational methods for problems pertaining to statistics, Statistics - Methodology, Computation (stat.CO), spatio-temporal statistics

Περιγραφή αρχείου: application/xml; application/pdf

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2211.16218
https://zbmath.org/8005871
https://doi.org/10.1007/s11222-025-10569-y

Robust and efficient sparse learning over networks: a decentralized surrogate composite quantile regression approach

Συγγραφείς: Qiao, Nan, Chen, Canyi, Zhu, Zhengtian

Πηγή: Statistics and Computing. 35

Θεματικοί όροι: Ridge regression, shrinkage estimators (Lasso), Estimation in multivariate analysis, decentralized estimation, composite quantile regression, heavy-tailed noise, Nonparametric regression and quantile regression, heterogeneity, Computational methods for problems pertaining to statistics, support recovery

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: https://zbmath.org/7983932
https://doi.org/10.1007/s11222-024-10547-w

Likelihood inference for unified transformation cure model with interval censored data

Συγγραφείς: Jodi Treszoks, Suvra Pal

Πηγή: Computational Statistics. 40:125-151

Θεματικοί όροι: interval censoring, proportional hazards, Computational methods for problems pertaining to statistics, EM algorithm, profile likelihood, smoking cessation

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/40012557

Simultaneous confidence bands for multiple comparisons of several percentile lines

Συγγραφείς: Sanyu Zhou, Yu Zhang

Πηγή: Computational Statistics. 40:111-123

Θεματικοί όροι: regression, simultaneous inference, Computational methods for problems pertaining to statistics, simulation

Περιγραφή αρχείου: application/xml

Variational Bayesian Lasso for spline regression

Συγγραφείς: Larissa C. Alves, Ronaldo Dias, Helio S. Migon

Πηγή: Computational Statistics. 39:2039-2064

Θεματικοί όροι: Computational methods for problems pertaining to statistics, evidence lower bound, knots selection, mean field posterior approximation, variational inference

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: https://zbmath.org/7904612
https://doi.org/10.1007/s00180-024-01470-9

Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models

Συγγραφείς: Rupp, Kevin, Schill, Rudolf, Süskind, Jonas, Georg, Peter, Klever, Maren, Lösch, Andreas, Grasedyck, Lars, Wettig, Tilo, Spang, Rainer

Πηγή: 13 Seiten (2021). doi:10.48550/ARXIV.2112.10971

Θεματικοί όροι: FOS: Computer and information sciences, ddc:610, Computer Science - Machine Learning, ddc:530, Bayesian inference, 610 Medizin, Populations and Evolution (q-bio.PE), Machine Learning (stat.ML), 530 Physik, uniformization, Continuous-time Markov chains · Bayesian inference · Uniformization · Matrix exponential · Tensors · Epidemic spread, 01 natural sciences, continuous-time Markov chains, matrix exponential, 3. Good health, Machine Learning (cs.LG), tensors, Statistics - Machine Learning, FOS: Biological sciences, epidemic spread, 0101 mathematics, Computational methods for problems pertaining to statistics, Quantitative Biology - Populations and Evolution

Περιγραφή αρχείου: application/xml; application/pdf

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2112.10971
https://zbmath.org/8014318
https://doi.org/10.1007/s00180-024-01454-9
https://publications.rwth-aachen.de/record/842166
https://epub.uni-regensburg.de/55492/

Simultaneous subgroup identification and variable selection for high dimensional data

Συγγραφείς: Huicong Yu, Jiaqi Wu, Weiping Zhang

Πηγή: Computational Statistics. 39:3181-3205

Θεματικοί όροι: subgroups, sparsity, heterogeneity, Computational methods for problems pertaining to statistics, ADMM, oracle property

Περιγραφή αρχείου: application/xml

On the Representation and Learning of Monotone Triangular Transport Maps: On the representation and learning of monotone triangular transport maps

Συγγραφείς: Baptista, Ricardo, Marzouk, Youssef, Zahm, Olivier

Συνεισφορές: Zahm, Olivier, Department of Applied Mathematics (MIT), Massachusetts Institute of Technology (MIT), Mathematics and computing applied to oceanic and atmospheric flows (AIRSEA), Centre Inria de l'Université Grenoble Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Grenoble Alpes (UGA)-Laboratoire Jean Kuntzmann (LJK), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP), Université Grenoble Alpes (UGA), ANR-21-CE46-0006,MODENA,Réduction de modèle et de données pour l'assimilation efficace(2021), Massachusetts Institute of Technology. Department of Aeronautics and Astronautics

Πηγή: Foundations of Computational Mathematics. 24:2063-2108

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Machine Learning, Optimal transportation, Monotone functions, infinite-dimensional optimization, Machine Learning (stat.ML), 02 engineering and technology, Wavelets, wavelets, Statistics - Computation, 01 natural sciences, Machine Learning (cs.LG), Methodology (stat.ME), Approximation by polynomials, normalizing flows, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], Statistics - Machine Learning, Knothe-Rosenblatt rearrangement, density estimation, adaptive approximation, 62G07, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 0101 mathematics, multivariate polynomials, Statistics - Methodology, Computation (stat.CO), Knothe–Rosenblatt rearrangement, Infinite-dimensional optimization, monotone functions, 49Q22, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Functional Analysis (math.FA), Multivariate polynomials, Mathematics - Functional Analysis, Density estimation, Transportation of measure, 65C20, Computational methods for problems pertaining to statistics, Normalizing flows, Adaptive approximation

Περιγραφή αρχείου: application/xml; application/pdf

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2009.10303
https://zbmath.org/7963971
https://doi.org/10.1007/s10208-023-09630-x

Random perturbation subsampling for rank regression with massive data

Συγγραφείς: He, Sijin, Xia, Xiaochao

Πηγή: Statistics and Computing. 35

Θεματικοί όροι: massive data, Statistical aspects of big data and data science, consistency, random perturbation subsampling, rank regression, asymptotic normality, Nonparametric regression and quantile regression, Computational methods for problems pertaining to statistics

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: https://zbmath.org/7983922
https://doi.org/10.1007/s11222-024-10548-9

Gaussian measures conditioned on nonlinear observations: consistency, MAP estimators, and simulation

Συγγραφείς: Chen, Yifan, Hosseini, Bamdad, Owhadi, Houman, Stuart, Andrew M.

Πηγή: Statistics and Computing. 35

Θεματικοί όροι: FOS: Computer and information sciences, Inverse problems for PDEs, Computer Science - Machine Learning, Bayesian inference, Probability (math.PR), Learning and adaptive systems in artificial intelligence, Machine Learning (stat.ML), Numerical Analysis (math.NA), Statistics - Computation, Gaussian measures, Machine Learning (cs.LG), Statistics - Machine Learning, FOS: Mathematics, conditional probability, Mathematics - Numerical Analysis, Computational methods for problems pertaining to statistics, Mathematics - Probability, Computation (stat.CO)

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2405.13149
https://zbmath.org/7983918
https://doi.org/10.1007/s11222-024-10535-0

A Review of Generalized Linear Latent Variable Models and Related Computational Approaches: A review of generalized linear latent variable models and related computational approaches

Συγγραφείς: Pekka Korhonen, Klaus Nordhausen, Sara Taskinen

Πηγή: WIREs Computational Statistics. 16

Θεματικοί όροι: todennäköisyyslaskenta, MCMC, Statistics, 05 social sciences, School of Resource Wisdom, factor analysis, Gauss-Hermite, quasi-likelihood, Gauss–Hermite, 01 natural sciences, Resurssiviisausyhteisö, faktorianalyysi, 0504 sociology, likelihood function, 0101 mathematics, Computational methods for problems pertaining to statistics, Laplace approximation, Tilastotiede

Περιγραφή αρχείου: application/xml; application/pdf; fulltext

Σύνδεσμος πρόσβασης: http://urn.fi/URN:NBN:fi:jyu-202411157305

Online prediction of extreme conditional quantiles via B-spline interpolation

Συγγραφείς: Li, Zhengpin, Wang, Jian, Hou, Yanxi

Πηγή: Statistics and Computing. 34

Θεματικοί όροι: Methodology (stat.ME), FOS: Computer and information sciences, extreme conditional quantile, quantile regression, Statistics of extreme values, tail inference, B-splines, generalized Pareto distribution, Nonparametric regression and quantile regression, Computational methods for problems pertaining to statistics, Statistics - Computation, Statistics - Methodology, Computation (stat.CO)

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2311.13825

K-fold cross-validation based frequentist model averaging for linear models with nonignorable missing responses: \(K\)-fold cross-validation based frequentist model averaging for linear models with nonignorable missing responses

Συγγραφείς: Liang, Zhongqi, Cai, Li, Wang, Suojin, Wang, Qihua

Πηγή: Statistics and Computing. 35

Θεματικοί όροι: Linear regression, mixed models, asymptotic optimality, selection consistency, nonignorable missing, model averaging, Nonparametric regression and quantile regression, Computational methods for problems pertaining to statistics, cross-validation

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: https://zbmath.org/7983926
https://doi.org/10.1007/s11222-024-10554-x