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ORCIDComputational Statistics & Data Analysis, Volume 123
Volume 123, July 2018
- Ondrej Vencálek
, Oleksii Pokotylo:
Depth-weighted Bayes classification. 1-12 - Janne M. J. Huttunen, Jari P. Kaipio, Heikki Haario:
Approximation error approach in spatiotemporally chaotic models with application to Kuramoto-Sivashinsky equation. 13-31 - Mao Ye, Peng Zhang, Lizhen Nie:
Clustering sparse binary data with hierarchical Bayesian Bernoulli mixture model. 32-49 - Kyeong Eun Lee, Young K. Lee, Byeong U. Park, Seong J. Yang:
Time-dynamic varying coefficient models for longitudinal data. 50-65 - Renáta Talská, Alessandra Menafoglio, Jitka Machalová, Karel Hron, Eva Fiserová:
Compositional regression with functional response. 66-85 - Francesco Bartolucci, Maria Francesca Marino, Silvia Pandolfi:
Dealing with reciprocity in dynamic stochastic block models. 86-100 - Julien Jacques, Christophe Biernacki:
Model-based co-clustering for ordinal data. 101-115
- Andrew Zammit-Mangion, Jonathan Rougier:
A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields. 116-130
- Tom Stindl, Feng Chen:
Likelihood based inference for the multivariate renewal Hawkes process. 131-145 - Yue Zhang, Bin Zhang:
Semiparametric spatial model for interval-censored data with time-varying covariate effects. 146-156
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