Works matching DE "COVARIANCE matrices"
Results: 3895
Uncertainty propagation of initial conditions in thermal models.
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- International Journal for Computational Methods in Engineering Science & Mechanics, 2024, v. 25, n. 6, p. 475, doi. 10.1080/15502287.2024.2408291
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- Article
Matching Kollo measures.
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- Journal of the Operational Research Society, 2024, v. 75, n. 7, p. 1279, doi. 10.1080/01605682.2023.2240847
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- Article
A novel probabilistic linguistic multi-attribute decision-making method based on Mahalanobis–Taguchi system and fuzzy measure.
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- Journal of the Operational Research Society, 2024, v. 75, n. 2, p. 246, doi. 10.1080/01605682.2023.2188888
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- Article
To Be Long or To Be Wide: How Data Format Influences Convergence and Estimation Accuracy in Multilevel Structural Equation Modeling.
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- Structural Equation Modeling, 2024, v. 31, n. 5, p. 759, doi. 10.1080/10705511.2024.2320050
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- Article
Robust Multivariate Dispersion Charts for Quality Control: Application to Sulfur Dioxide Monitoring.
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- Journal of Chemometrics, 2025, v. 39, n. 1, p. 1, doi. 10.1002/cem.3642
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- Article
Estimation for vector autoregressive model under multivariate skew- t -normal innovations.
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- Statistical Modelling: An International Journal, 2025, v. 25, n. 2, p. 103, doi. 10.1177/1471082X231224910
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- Article
Hamiltonian Monte Carlo for effcient Gaussian sampling: long and random steps.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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On the Concentration of the Minimizers of Empirical Risks.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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- Article
Dropout Regularization Versus ℓ<sub>2</sub>-Penalization in the Linear Model.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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- Article
On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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- Article
Two is Better Than One: Regularized Shrinkage of Large Minimum Variance Portfolios.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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- Article
Personalized PCA: Decoupling Shared and Unique Features.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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- Article
Non-splitting Neyman-Pearson Classifiers.
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- Journal of Machine Learning Research, 2024, v. 25, p. 1
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- Article
Bayesian Distributed Target Detectors in Compound-Gaussian Clutter Against Subspace Interference with Limited Training Data.
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- Remote Sensing, 2025, v. 17, n. 5, p. 926, doi. 10.3390/rs17050926
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- Article
Enhanced Phase Optimization Using Spectral Radius Constraints and Weighted Eigenvalue Decomposition for Distributed Scatterer InSAR.
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- Remote Sensing, 2025, v. 17, n. 5, p. 862, doi. 10.3390/rs17050862
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- Article
A Novel Azimuth Channel Errors Estimation Algorithm Based on Characteristic Clusters Statistical Treatment.
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- Remote Sensing, 2025, v. 17, n. 5, p. 857, doi. 10.3390/rs17050857
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- Article
An Adaptive Constant Acceleration Model for Maneuvering Target Tracking.
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- Remote Sensing, 2025, v. 17, n. 5, p. 850, doi. 10.3390/rs17050850
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- Article
Minimum number of measurements for an accurate evaluation of growth traits in eucalyptus species.
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- Revista Ceres, 2024, v. 71, p. 1, doi. 10.1590/0034-737X2024710055
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- Article
Handling temporal correlated noise in large-scale global GNSS processing: Handling temporal correlated noise in large-scale global GNSS processing: P. Dumitraschkewitz , T. Mayer-Gürr.
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- Journal of Geodesy, 2025, v. 99, n. 3, p. 1, doi. 10.1007/s00190-025-01946-6
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- Article
Multivariate Gaussian Bayes classifier with limited data for segmentation of clean and contaminated regions in the small bowel capsule endoscopy images.
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- PLoS ONE, 2025, v. 20, n. 3, p. 1, doi. 10.1371/journal.pone.0315638
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- Article
A test on the location of tangency portfolio for small sample size and singular covariance matrix.
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- Modern Stochastics: Theory & Applications, 2025, v. 12, n. 1, p. 43, doi. 10.15559/24-VMSTA261
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- Article
Redefining Item Response Models for Small Samples.
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- Journal of Educational & Behavioral Statistics, 2025, v. 50, n. 2, p. 272, doi. 10.3102/10769986241269886
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- Article
양자화 측정값을 고려한 효율적 센서 선택 알고리즘.
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- Journal of the Korea Institute of Information & Communication Engineering, 2025, v. 29, n. 2, p. 253, doi. 10.6109/jkiice.2025.29.2.253
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- Article
On spectrum of sample covariance matrices from large tensor vectors.
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- ALEA. Latin American Journal of Probability & Mathematical Statistics, 2024, v. 21, n. 2, p. 1527, doi. 10.30757/ALEA.v21-57
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- Article
Limiting Distributions of Largest Entries of Sample Covariance Matrices from 1-Dependent Normal Populations.
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- ALEA. Latin American Journal of Probability & Mathematical Statistics, 2024, v. 21, n. 2, p. 1309, doi. 10.30757/ALEA.v21-50
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- Article
Sage–Husa Algorithm Based on Adaptive Double Forgetting Factors.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 1731, doi. 10.3390/app15041731
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- Article
Method of moments estimation for the superposition of square-root diffusions.
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- Probability in the Engineering & Informational Sciences, 2025, v. 39, n. 1, p. 23, doi. 10.1017/S0269964824000147
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- Article
基于改进标签策略与卷积神经网络的离格 DOA 估计方法.
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- Telecommunication Engineering, 2025, v. 65, n. 2, p. 261, doi. 10.20079/j.issn.1001-893x.240206002
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- Article
smashGP: Large-Scale Spatial Modeling via Matrix-Free Gaussian Processes.
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- Journal of Computational & Graphical Statistics, 2025, v. 34, n. 1, p. 15, doi. 10.1080/10618600.2024.2353653
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- Article
Robust Beamforming for Frequency Diverse Array Multiple-Input Multiple-Output Radar: Mitigating Steering Vector Mismatches and Suppressing Main Lobe Interference.
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- Remote Sensing, 2025, v. 17, n. 4, p. 577, doi. 10.3390/rs17040577
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- Article
Linear Algebra and Optimization in Data Analysis.
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- UMAP Journal, 2023, v. 44, n. 2, p. 118
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- Article
Modeling Realized Covariances and Returns.
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- Journal of Financial Econometrics, 2013, v. 11, n. 2, p. 335, doi. 10.1093/jjfinec/nbs022
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- Article
Efficient Estimation of Covariance Matrices using Posterior Mode Multiple Shrinkage.
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- Journal of Financial Econometrics, 2012, v. 11, n. 1, p. 154, doi. 10.1093/jjfinec/nbs009
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- Article
Unifying approaches from statistical genetics and phylogenetics for mapping phenotypes in structured populations.
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- PLoS Biology, 2024, v. 22, n. 10, p. 1, doi. 10.1371/journal.pbio.3002847
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- Article
A Canonical Representation of Block Matrices with Applications to Covariance and Correlation Matrices.
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- Review of Economics & Statistics, 2024, v. 106, n. 4, p. 1099, doi. 10.1162/rest_a_01258
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- Article
Testing the Dimensionality of Policy Shocks.
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- Review of Economics & Statistics, 2024, v. 106, n. 2, p. 470, doi. 10.1162/rest_a_01139
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- Article
STRUCTURAL BREAKS IN THE INTERNATIONAL DYNAMICS OF INFLATION.
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- Review of Economics & Statistics, 2013, v. 95, n. 2, p. 646, doi. 10.1162/REST_a_00261
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- Article
Sufficient ensemble size for random matrix theory-based handling of singular covariance matrices.
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- Analysis & Applications, 2020, v. 18, n. 5, p. 929, doi. 10.1142/S0219530520400072
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- Article
Feature Maps Correlation-based Video Quality Assessment.
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- Multimedia Tools & Applications, 2024, v. 83, n. 23, p. 63309, doi. 10.1007/s11042-023-18068-w
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- Article
Video driven adaptive grasp planning of virtual hand using deep reinforcement learning.
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- Multimedia Tools & Applications, 2023, v. 82, n. 11, p. 16301, doi. 10.1007/s11042-022-14190-3
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- Article
Optimized weighted local kernel features for hyperspectral image classification.
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- Multimedia Tools & Applications, 2022, v. 81, n. 15, p. 21859, doi. 10.1007/s11042-022-12452-8
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- Article
Asymptotic Behavior of Eigenvalues of Variance-Covariance Matrix of a High-Dimensional Heavy-Tailed Lévy Process.
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- Methodology & Computing in Applied Probability, 2021, v. 23, n. 4, p. 1353, doi. 10.1007/s11009-020-09818-6
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- Article
High-Dimensional Quadratic Classifiers in Non-sparse Settings.
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- Methodology & Computing in Applied Probability, 2019, v. 21, n. 3, p. 663, doi. 10.1007/s11009-018-9646-z
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- Article
Variance Allocation and Shapley Value.
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- Methodology & Computing in Applied Probability, 2018, v. 20, n. 3, p. 919, doi. 10.1007/s11009-016-9540-5
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- Article
Scan Statistic Tail Probability Assessment Based on Process Covariance and Window Size.
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- Methodology & Computing in Applied Probability, 2016, v. 18, n. 3, p. 717, doi. 10.1007/s11009-015-9447-6
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- Article
Rare Event Probability Estimation in the Presence of Epistemic Uncertainty on Input Probability Distribution Parameters.
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- Methodology & Computing in Applied Probability, 2016, v. 18, n. 1, p. 197, doi. 10.1007/s11009-014-9411-x
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- Article
Maximum-Likelihood Asymptotic Inference for Autoregressive Hilbertian Processes.
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- Methodology & Computing in Applied Probability, 2015, v. 17, n. 1, p. 207, doi. 10.1007/s11009-013-9329-8
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- Article
Erratum to: Bayesian Copulae Distributions, with Application to Operational Risk Management.
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- 2012
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- Correction Notice