nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Approximation error approach in spatiotemporally chaotic models with application to Kuramoto–Sivashinsky equation
|
Huttunen, J.M.J. |
|
2018 |
123 |
C |
p. 13-31 |
artikel |
2 |
A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields
|
Zammit-Mangion, Andrew |
|
2018 |
123 |
C |
p. 116-130 |
artikel |
3 |
Clustering sparse binary data with hierarchical Bayesian Bernoulli mixture model
|
Ye, Mao |
|
2018 |
123 |
C |
p. 32-49 |
artikel |
4 |
Compositional regression with functional response
|
Talská, R. |
|
2018 |
123 |
C |
p. 66-85 |
artikel |
5 |
Dealing with reciprocity in dynamic stochastic block models
|
Bartolucci, Francesco |
|
2018 |
123 |
C |
p. 86-100 |
artikel |
6 |
Depth-weighted Bayes classification
|
Vencalek, Ondrej |
|
2018 |
123 |
C |
p. 1-12 |
artikel |
7 |
Editorial Board
|
|
|
2018 |
123 |
C |
p. ii-iv |
artikel |
8 |
Likelihood based inference for the multivariate renewal Hawkes process
|
Stindl, Tom |
|
2018 |
123 |
C |
p. 131-145 |
artikel |
9 |
Model-based co-clustering for ordinal data
|
Jacques, Julien |
|
2018 |
123 |
C |
p. 101-115 |
artikel |
10 |
Semiparametric spatial model for interval-censored data with time-varying covariate effects
|
Zhang, Yue |
|
2018 |
123 |
C |
p. 146-156 |
artikel |
11 |
Time-dynamic varying coefficient models for longitudinal data
|
Lee, Kyeongeun |
|
2018 |
123 |
C |
p. 50-65 |
artikel |