Bayesian GARCH modeling of functional sports data.
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- Statistical Methods & Applications, 2023, v. 32, n. 2, p. 401, doi. 10.1007/s10260-022-00656-z
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- Article
Works matching AU Argiento, Raffaele
Results: 23
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Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis.
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- Statistical Methods & Applications, 2021, v. 30, n. 2, p. 573, doi. 10.1007/s10260-020-00535-5
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- Article
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Computational challenges and temporal dependence in Bayesian nonparametric models.
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- Statistical Methods & Applications, 2018, v. 27, n. 2, p. 231, doi. 10.1007/s10260-017-0397-8
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- Article
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Bayesian Analysis and Prediction of Failures in Underground Trains<FN>This paper is based on a presentation given at the second ENBIS Conference, Rimini, September 2002 </FN>.
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- Quality & Reliability Engineering International, 2003, v. 19, n. 4, p. 327, doi. 10.1002/qre.583
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- Publication type:
- Article
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Estimation, prediction and interpretation of NGG random effects models: an application to Kevlar fibre failure times.
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- Statistical Papers, 2014, v. 55, n. 3, p. 805, doi. 10.1007/s00362-013-0528-8
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- Publication type:
- Article
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Efficient uncertainty quantification in stochastic finite element analysis based on functional principal components.
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- Computational Mechanics, 2015, v. 56, n. 3, p. 533, doi. 10.1007/s00466-015-1185-7
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- Article
7
Bayesian joint modelling of the health profile and demand of home care patients.
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- IMA Journal of Management Mathematics, 2017, v. 28, n. 4, p. 531, doi. 10.1093/imaman/dpw001
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- Article
8
An integrative Bayesian Dirichletmultinomial regression model for the analysis of taxonomic abundances in microbiome data.
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- BMC Bioinformatics, 2017, v. 18, p. 1, doi. 10.1186/s12859-017-1516-0
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- Publication type:
- Article
9
Multilevel Functional Principal Component Analysis of Façade Sound Insulation Data.
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- Quality & Reliability Engineering International, 2015, v. 31, n. 7, p. 1239, doi. 10.1002/qre.1843
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- Article
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A semiparametric Bayesian generalized linear mixed model for the reliability of Kevlar fibers.
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- Applied Stochastic Models in Business & Industry, 2013, v. 29, n. 5, p. 410, doi. 10.1002/asmb.1936
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High‐Dimensional Bayesian Semiparametric Models for Small Samples: A Principled Approach to the Analysis of Cytokine Expression Data.
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- Biometrical Journal, 2024, v. 66, n. 8, p. 1, doi. 10.1002/bimj.70000
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- Article
12
Clustering blood donors via mixtures of product partition models with covariates.
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- Biometrics, 2024, v. 80, n. 1, p. 1, doi. 10.1093/biomtc/ujad021
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Personalized treatment selection via product partition models with covariates.
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- Biometrics, 2024, v. 80, n. 1, p. 1, doi. 10.1093/biomtc/ujad003
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- Article
14
Seemingly Unrelated Multi-State Processes: A Bayesian Semiparametric Approach.
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- Bayesian Analysis, 2023, v. 18, n. 3, p. 753, doi. 10.1214/22-BA1326
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- Article
15
Bias Correction in Clustered Underreported Data.
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- Bayesian Analysis, 2022, v. 17, n. 1, p. 95, doi. 10.1214/20-BA1244
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- Article
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Hierarchical Normalized Completely Random Measures for Robust Graphical Modeling.
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- Bayesian Analysis, 2019, v. 14, n. 4, p. 1271, doi. 10.1214/19-BA1153
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17
Model-Based Clustering of Categorical Data Based on the Hamming Distance.
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- Journal of the American Statistical Association, 2025, v. 120, n. 550, p. 1178, doi. 10.1080/01621459.2024.2402568
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- Article
18
Capture-Recapture Models with Heterogeneous Temporary Emigration.
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- Journal of the American Statistical Association, 2023, v. 118, n. 541, p. 56, doi. 10.1080/01621459.2022.2123332
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- Article
19
Hierarchical Normalized Completely Random Measures to Cluster Grouped Data.
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- Journal of the American Statistical Association, 2020, v. 115, n. 529, p. 318, doi. 10.1080/01621459.2019.1594833
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- Article
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A Bayesian framework for describing and predicting the stochastic demand of home care patients.
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- Flexible Services & Manufacturing Journal, 2016, v. 28, n. 1/2, p. 254, doi. 10.1007/s10696-014-9200-4
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- Article
21
Learning Block Structured Graphs in Gaussian Graphical Models.
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- Journal of Computational & Graphical Statistics, 2024, v. 33, n. 1, p. 152, doi. 10.1080/10618600.2023.2210184
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- Article
22
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes.
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- Journal of Computational & Graphical Statistics, 2022, v. 31, n. 2, p. 422, doi. 10.1080/10618600.2021.2000424
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- Publication type:
- Article
23
A “Density-Based” Algorithm for Cluster Analysis Using Species Sampling Gaussian Mixture Models.
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- Journal of Computational & Graphical Statistics, 2014, v. 23, n. 4, p. 1126, doi. 10.1080/10618600.2013.856796
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- Article