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Computational statistics & data analysis, ISSN 0167-9473, 02/2021, Volume 154
A new procedure is proposed for selecting the input value for the adaptation bandwidth lambda in nonparametric Gaussian regression via Propagation-Separation... 
Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology
Journal Article
Computational statistics & data analysis, ISSN 0167-9473, 02/2021, Volume 154, p. 107071
A new class of hierarchical copulas is introduced based on joint survival functions of multivariate exponential mixture distributions. The key element of this... 
Asymmetric pair-copulas | Archimedean copulas | Hierarchical copulas | Partitioning Around Mdoids | Block-exchangeability | Composite likelihood estimation | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology
Journal Article
Computational statistics & data analysis, ISSN 0167-9473, 02/2021, Volume 154, p. 107069
In this paper, a new estimation method is introduced for the quantile spectrum, which uses a parametric form of the autoregressive (AR) spectrum coupled with... 
Earthquake data classification | Quantile periodogram | Autoregressive approximation | Convolutional neural network | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology
Journal Article
Computational statistics & data analysis, ISSN 0167-9473, 02/2021, Volume 154, p. 107048
Spatial dynamic microsimulations allow for the multivariate analysis of complex systems with geographic segmentation. A synthetic replica of the system is... 
Bootstrap | Multinomial logit | Logit scaling | Constrained maximum likelihood | Spatiotemporal modeling | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology
Journal Article
Computational statistics & data analysis, ISSN 0167-9473, 02/2021, Volume 154
Latent block models are used for probabilistic biclustering, which is shown to be an effective method for analyzing various relational data sets. However,... 
Goodness-of-fit test | Latent block model | Random matrix theory | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology
Journal Article
Computational statistics & data analysis, ISSN 0167-9473, 02/2021, Volume 154
The Gaussian process regression (GPR) model is well-known to be susceptible to outliers. Robust process regression models based on t-process or other... 
Gaussian process regression | Extended t-process | Robustness | Functional batch data | Information consistency | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology
Journal Article
Computational statistics & data analysis, ISSN 0167-9473, 02/2021, Volume 154, p. 107084
A new approach is presented for learning high-dimensional Gaussian linear structural equation models from only observational data when unknown error variances... 
Causal inference | High-dimensional learning | Directed acyclic graphical model | Bayesian network | Structural equation model | Multivariate Gaussian distribution | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology
Journal Article
Computational statistics & data analysis, ISSN 0167-9473, 01/2021, Volume 153, p. 107072
With the development of modern technologies, it is possible to gather an extraordinarily large number of observations. Due to the storage or transmission... 
Distributed subsampling | Big data | Optimal subsampling | Allocation sizes | Regression diagnostic | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology
Journal Article
Computers & structures, ISSN 0045-7949, 01/2021, Volume 242, p. 106359
Journal Article
Computational statistics & data analysis, ISSN 0167-9473, 01/2021, Volume 153, p. 107065
Gradient boosting algorithms construct a regression predictor using a linear combination of “base learners”. Boosting also offers an approach to obtaining... 
Regression | Boosting | Robustness | Ensemble methods | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology
Journal Article
Computational statistics & data analysis, ISSN 0167-9473, 01/2021, Volume 153, p. 107067
The problem of testing for the equality of autocovariances of two independent high-dimensional time series is studied. Tests based on the suprema or sums of... 
Dynamic factor models | Autocovariances | Hypothesis tests | High-dimensional time series | Block multiplier bootstrap | Principal components | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology
Journal Article
Computational statistics & data analysis, ISSN 0167-9473, 01/2021, Volume 153, p. 107057
Continuous-time multi-state Markov models can be used to describe transitions over time across health states. Given longitudinal interval-censored data on... 
Survival analysis | Automatic smoothing | Panel data | Penalised splines | Markov model | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology
Journal Article