Suchergebnisse - "Estimation in multivariate analysis"
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1
Autoren: Taveira Blomenhofer, Alexander
Quelle: SIAM Journal on Applied Algebra and Geometry. 9:211-234
Schlagwörter: Computational real algebraic geometry, SDP, Waring decomposition, Estimation in multivariate analysis, Analysis of algorithms and problem complexity, Multilinear algebra, tensor calculus, subspace learning, Gaussian mixtures
Dateibeschreibung: application/xml
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2
Autoren: et al.
Weitere Verfasser: et al.
Quelle: Lobachevskii Journal of Mathematics. 45:4434-4447
Schlagwörter: Bayesian network, directed acyclic graphs, structure learning, Estimation in multivariate analysis, Bayesian inference, Gibbs sampler, Learning and adaptive systems in artificial intelligence, Bayesian estimation, Monte Carlo, Probabilistic graphical models
Dateibeschreibung: application/xml
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3
Autoren:
Quelle: Statistics and Computing. 35
Schlagwörter: 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
Dateibeschreibung: application/xml
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4
Autoren: et al.
Quelle: Demonstratio Mathematica, Vol 58, Iss 1, Pp 1-17 (2025)
Schlagwörter: missing at random data, Nonparametric robustness, Estimation in multivariate analysis, asymptotic normality, kernel regression method, Density estimation, Asymptotic properties of nonparametric inference, 62g07, spatial data, QA1-939, 62h12, 62g35, Mathematics, 62g20, functional data analysis
Dateibeschreibung: application/xml
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5
Autoren: et al.
Quelle: IEEE Transactions on Signal Processing. 72:942-957
Schlagwörter: Signal theory (characterization, reconstruction, filtering, etc.), Computer Science - Machine Learning, Estimation in multivariate analysis, Bayesian inference, Electrical Engineering and Systems Science - Signal Processing, 68T01
Dateibeschreibung: application/xml
Zugangs-URL: http://arxiv.org/abs/2401.16775
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6
Autoren: et al.
Quelle: Extremes. 28(1):75-99
Schlagwörter: FOS: Computer and information sciences, Secondary—62H12, extreme value theory, EVA (2023) Conference Data Challenge, Primary—62G32, Statistics of extreme values, tail inference, Estimation in multivariate analysis, Extreme value theory, extremal dependence, Statistics - Applications, 01 natural sciences, Methodology (stat.ME), 62P12, stat.ME, EVA (2023) conference data challenge, Extreme quantile regression, Applications (stat.AP), extreme quantile regression, 0101 mathematics, Applications of statistics to environmental and related topics, stat.AP, Extremal dependence, Statistics - Methodology
Dateibeschreibung: application/xml
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7
Autoren:
Quelle: Circuits, Systems, and Signal Processing. 43:1053-1100
Schlagwörter: Signal theory (characterization, reconstruction, filtering, etc.), chirp signal model, heavy tailed noise, Estimation in multivariate analysis, regression quantile estimator, least squares estimator, Central limit and other weak theorems, Applications of statistics in engineering and industry, control charts, robust estimation, strong consistency, Asymptotic properties of parametric estimators, asymptotic normal distribution
Dateibeschreibung: application/xml
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8
Autoren: Debasis Kundu
Quelle: Circuits, Systems, and Signal Processing. 43:1007-1029
Schlagwörter: consistency, Estimation in multivariate analysis, robust estimators, asymptotic normality, Point estimation, least squares estimators, sinusoidal model, weighted least squares estimators, Parametric hypothesis testing
Dateibeschreibung: application/xml
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9
Autoren:
Quelle: Bayesian Analysis. 19
Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, propriety, Estimation in multivariate analysis, Statistics, Bayesian inference, multivariate meta-analysis, elliptically contoured distribution, 0101 mathematics, Multivariate distribution of statistics, 01 natural sciences, multivariate random effects model, noninformative prior
Dateibeschreibung: application/xml
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10
Autoren:
Quelle: SIAM/ASA Journal on Uncertainty Quantification. 10:1250-1292
Schlagwörter: importance sampling, uncertainty quantification, Estimation in multivariate analysis, approximate control variates, 0101 mathematics, Computational methods for problems pertaining to statistics, rare-event simulation, 01 natural sciences, multifidelity
Dateibeschreibung: application/xml
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11
Autoren: et al.
Quelle: Operations Research Forum. 5
Schlagwörter: Estimation in multivariate analysis, multivariate area-level model, outliers, Inventory, storage, reservoirs, 04 agricultural and veterinary sciences, 15. Life on land, 01 natural sciences, remote sensing data, Sampling theory, sample surveys, EBLUP, 0401 agriculture, forestry, and fisheries, 0101 mathematics, repeated forest inventories, clustering
Dateibeschreibung: application/xml
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12
Autoren:
Quelle: Journal of Econometrics. 217:356-380
Schlagwörter: Applications of statistics to actuarial sciences and financial mathematics, Estimation in multivariate analysis, Econometrics (econ.EM), Mathematics - Statistics Theory, estimation risk, Statistics Theory (math.ST), 01 natural sciences, FOS: Economics and business, accuracy of VaR estimation, dynamic portfolio, Time series, auto-correlation, regression, etc. in statistics (GARCH), filtered historical simulation, FOS: Mathematics, 0101 mathematics, Asymptotic properties of parametric estimators, Statistical methods, risk measures, virtual returns, Economics - Econometrics
Dateibeschreibung: application/xml
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13
Autoren: Lei Shi
Quelle: AStA Advances in Statistical Analysis. 104:649-665
Schlagwörter: Generalized linear models (logistic models), Estimation in multivariate analysis, world values survey, Bayesian analysis, Markov chain Monte Carlo (MCMC), Order statistics, empirical distribution functions, Monte Carlo methods, individual heterogeneity, 0101 mathematics, Applications of statistics to economics, multivariate ordered probit model, 01 natural sciences
Dateibeschreibung: application/xml
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14
Autoren: et al.
Quelle: Information Sciences. 514:131-148
Schlagwörter: Stiefel manifold, orthogonal constraints, Estimation in multivariate analysis, 0202 electrical engineering, electronic engineering, information engineering, nonnegative matrix factorization, 02 engineering and technology, Statistics on manifolds, low rank, Factorization of matrices, graph smoothness
Dateibeschreibung: application/xml
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15
Autoren: et al.
Quelle: Complexity, Vol 2020 (2020)
Schlagwörter: Density estimation, Electronic computers. Computer science, Estimation in multivariate analysis, QA75.5-76.95, 0101 mathematics, Nonparametric estimation, 01 natural sciences
Dateibeschreibung: application/xml; text/xhtml
Zugangs-URL: https://zbmath.org/7326682
https://doi.org/10.1155/2020/1803525
https://doaj.org/article/e91d304b805d4cb2b116f14a2040d831
https://ideas.repec.org/a/hin/complx/1803525.html
https://dblp.uni-trier.de/db/journals/complexity/complexity2020.html#HeJDF20
https://dlnext.acm.org/doi/10.1155/2020/1803525
https://www.hindawi.com/journals/complexity/2020/1803525/
https://downloads.hindawi.com/journals/complexity/2020/1803525.pdf
https://dl.acm.org/doi/abs/10.1155/2020/1803525 -
16
Autoren:
Quelle: Journal of Statistical Planning and Inference. 231:106123
Schlagwörter: Methodology (stat.ME), FOS: Computer and information sciences, jackknife empirical likelihood, Nonparametric tolerance and confidence regions, Measures of association (correlation, canonical correlation, etc.), Estimation in multivariate analysis, 0502 economics and business, 05 social sciences, Wilk's theorem, 0101 mathematics, categorical Gini correlation, 01 natural sciences, Statistics - Methodology
Dateibeschreibung: application/xml
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17
Autoren:
Quelle: The Annals of Statistics. 50
Schlagwörter: Ridge regression, shrinkage estimators (Lasso), Estimation in multivariate analysis, Mathematics - Statistics Theory, Statistics Theory (math.ST), 02 engineering and technology, 01 natural sciences, Statistics on metric spaces, shrinkage, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, admissibility, nonparametric, Hadamard space, 0101 mathematics, Admissibility in statistical decision theory, empirical Bayes
Dateibeschreibung: application/xml
Zugangs-URL: http://arxiv.org/abs/2009.09101
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18
Autoren:
Quelle: Journal of Multivariate Analysis. 201:105278
Schlagwörter: Measures of association (correlation, canonical correlation, etc.), dependence modeling, Estimation in multivariate analysis, Statistics of extreme values, tail inference, copula models, Multivariate distribution of statistics, Hypothesis testing in multivariate analysis, Characterization and structure theory for multivariate probability distributions, copulas
Dateibeschreibung: application/xml
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19
Autoren: Mike West
Quelle: Annals of the Institute of Statistical Mathematics. 72:1-31
Schlagwörter: Applications of statistics to actuarial sciences and financial mathematics, Signal Processing (eess.SP), FOS: Computer and information sciences, decouple/recouple, simultaneous graphical dynamic models, Estimation in multivariate analysis, Bayesian inference, Dynamical Systems (math.DS), time series monitoring, Statistics - Applications, Statistics - Computation, 01 natural sciences, Inference from stochastic processes and prediction, Bayesian forecasting, Methodology (stat.ME), network flows, 0502 economics and business, multi-scale models, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Applications (stat.AP), integer count time series, Electrical Engineering and Systems Science - Signal Processing, Mathematics - Dynamical Systems, 0101 mathematics, Statistics - Methodology, Computation (stat.CO), Probabilistic graphical models, Akaike Memorial Lecture, 05 social sciences, decision-guided model assessment, dynamic dependency networks, Time series, auto-correlation, regression, etc. in statistics (GARCH), Bayesian model emulation
Dateibeschreibung: application/xml
Zugangs-URL: http://arxiv.org/pdf/1911.09656
http://arxiv.org/abs/1911.09656
https://ui.adsabs.harvard.edu/abs/2019arXiv191109656W/abstract
https://link.springer.com/article/10.1007/s10463-019-00741-3
https://ideas.repec.org/a/spr/aistmt/v72y2020i1d10.1007_s10463-019-00741-3.html
https://arxiv.org/abs/1911.09656
https://arxiv.org/pdf/1911.09656
http://export.arxiv.org/pdf/1911.09656 -
20
Autoren: et al.
Quelle: Machine Learning, vol 108, iss 12
Schlagwörter: covariance estimation, Covariance estimation, Artificial Intelligence and Image Processing, Estimation in multivariate analysis, sparse Cholesky, Analysis of variance and covariance (ANOVA), Learning and adaptive systems in artificial intelligence, 01 natural sciences, High-dimensional data, Mental Health, high-dimensional data, Sparse Cholesky, Order statistics, empirical distribution functions, Cognitive Sciences, Artificial Intelligence & Image Processing, Penalized likelihood, 0101 mathematics, penalized likelihood, Information Systems
Dateibeschreibung: application/xml; application/pdf
Zugangs-URL: https://link.springer.com/content/pdf/10.1007/s10994-019-05810-5.pdf
https://link.springer.com/article/10.1007/s10994-019-05810-5
https://escholarship.org/uc/item/9nk7p1c6
http://doi.org/10.1007/s10994-019-05810-5
https://dblp.uni-trier.de/db/journals/ml/ml108.html#KhareORR19
https://link.springer.com/content/pdf/10.1007/s10994-019-05810-5.pdf
https://doi.org/10.1007/s10994-019-05810-5
https://escholarship.org/uc/item/9nk7p1c6
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