Functional time series model identification and diagnosis by means of auto- and partial autocorrelation analysis (English)
- New search for: Mestre, Guillermo
- New search for: Portela, José
- New search for: Rice, Gregory
- New search for: Muñoz San Roque, Antonio
- New search for: Alonso, Estrella
- New search for: Mestre, Guillermo
- New search for: Portela, José
- New search for: Rice, Gregory
- New search for: Muñoz San Roque, Antonio
- New search for: Alonso, Estrella
In:
Computational Statistics and Data Analysis
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155
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2020
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Functional time series model identification and diagnosis by means of auto- and partial autocorrelation analysis
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Contributors:Mestre, Guillermo ( author ) / Portela, José ( author ) / Rice, Gregory ( author ) / Muñoz San Roque, Antonio ( author ) / Alonso, Estrella ( author )
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Published in:
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Publisher:
- New search for: Elsevier B.V.
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Publication date:2020-09-25
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 155
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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Joint generalized estimating equations for longitudinal binary dataHuang, Youjun / Pan, Jianxin et al. | 2020
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A beyond multiple robust approach for missing response problemWang, Qihua / Su, Miaomiao / Wang, Ruoyu et al. | 2020
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Parallel cross-validation: A scalable fitting method for Gaussian process modelsGerber, Florian / Nychka, Douglas W. et al. | 2020
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Variable selection in high-dimensional linear model with possibly asymmetric errorsCiuperca, Gabriela et al. | 2020
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Smooth simultaneous confidence band for the error distribution function in nonparametric regressionGu, Lijie / Wang, Suojin / Yang, Lijian et al. | 2020
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Statistical inference for inter-arrival times of extreme events in bursty time seriesHees, Katharina / Nayak, Smarak / Straka, Peter et al. | 2020
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Robust variable selection with exponential squared loss for the spatial autoregressive modelSong, Yunquan / Liang, Xijun / Zhu, Yanji / Lin, Lu et al. | 2020
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A Bayesian goodness-of-fit test for regressionBarrientos, Andrés F. / Canale, Antonio et al. | 2020
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Functional time series model identification and diagnosis by means of auto- and partial autocorrelation analysisMestre, Guillermo / Portela, José / Rice, Gregory / Muñoz San Roque, Antonio / Alonso, Estrella et al. | 2020
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Link-based survival additive models under mixed censoring to assess risks of hospital-acquired infectionsMarra, Giampiero / Farcomeni, Alessio / Radice, Rosalba et al. | 2020
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Simplified R-vine based forward regressionZhu, Kailun / Kurowicka, Dorota / Nane, Gabriela F. et al. | 2020
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Efficient and robust estimation of regression and scale parameters, with outlier detectionDesgagné, Alain et al. | 2020
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Editorial Board| 2020
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MM algorithms for distance covariance based sufficient dimension reduction and sufficient variable selectionWu, Runxiong / Chen, Xin et al. | 2020
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Linearly preconditioned nonlinear conjugate gradient acceleration of the PX-EM algorithmZhou, Lin / Tang, Yayong et al. | 2020
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Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimationGórecki, Jan / Hofert, Marius / Okhrin, Ostap et al. | 2020
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A self-calibrated direct approach to precision matrix estimation and linear discriminant analysis in high dimensionsPun, Chi Seng / Hadimaja, Matthew Zakharia et al. | 2020