| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Adaptive sampling for Bayesian geospatial models
|
Yang, Hongxia
|
|
2013
|
24 |
6 |
p. 1101-1110
|
artikel
|
| 2 |
A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering
|
Forbes, Florence
|
|
2013
|
24 |
6 |
p. 971-984
|
artikel
|
| 3 |
A semi-infinite programming based algorithm for finding minimax optimal designs for nonlinear models
|
Duarte, Belmiro P. M.
|
|
2013
|
24 |
6 |
p. 1063-1080
|
artikel
|
| 4 |
Classification of cyclical time series using complex demodulation
|
Maharaj, Elizabeth Ann
|
|
2013
|
24 |
6 |
p. 1031-1046
|
artikel
|
| 5 |
Combinatorial EM algorithms
|
Marschner, Ian C.
|
|
2013
|
24 |
6 |
p. 921-940
|
artikel
|
| 6 |
Empirical likelihood inference for general transformation models with right censored data
|
Li, Jianbo
|
|
2013
|
24 |
6 |
p. 985-995
|
artikel
|
| 7 |
Flexible pair-copula estimation in D-vines using bivariate penalized splines
|
Kauermann, Göran
|
|
2013
|
24 |
6 |
p. 1081-1100
|
artikel
|
| 8 |
Generalized linear mixed models for correlated binary data with t-link
|
Prates, Marcos O.
|
|
2013
|
24 |
6 |
p. 1111-1123
|
artikel
|
| 9 |
Permutation tests for between-unit fixed effects in multivariate generalized linear mixed models
|
Finos, Livio
|
|
2013
|
24 |
6 |
p. 941-952
|
artikel
|
| 10 |
Sequential Bayesian inference in hidden Markov stochastic kinetic models with application to detection and response to seasonal epidemics
|
Lin, Junjing
|
|
2013
|
24 |
6 |
p. 1047-1062
|
artikel
|
| 11 |
Sequential change detection in the presence of unknown parameters
|
Ross, Gordon J.
|
|
2013
|
24 |
6 |
p. 1017-1030
|
artikel
|
| 12 |
Snipping for robust k-means clustering under component-wise contamination
|
Farcomeni, Alessio
|
|
2013
|
24 |
6 |
p. 907-919
|
artikel
|
| 13 |
Stable and visualizable Gaussian parsimonious clustering models
|
Biernacki, Christophe
|
|
2013
|
24 |
6 |
p. 953-969
|
artikel
|
| 14 |
Understanding predictive information criteria for Bayesian models
|
Gelman, Andrew
|
|
2013
|
24 |
6 |
p. 997-1016
|
artikel
|
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