| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A new three-step method for using inverse propensity weighting with latent class analysis
|
Clouth, F. J.
|
|
|
16 |
2 |
p. 351-371
|
artikel
|
| 2 |
Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models
|
Genge, Ewa
|
|
|
16 |
2 |
p. 235-271
|
artikel
|
| 3 |
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error
|
Di Mari, Roberto
|
|
|
16 |
2 |
p. 273-300
|
artikel
|
| 4 |
A von Mises–Fisher mixture model for clustering numerical and categorical variables
|
Bry, Xavier
|
|
|
16 |
2 |
p. 429-455
|
artikel
|
| 5 |
Factor and hybrid components for model-based clustering
|
Hou-Liu, Jason
|
|
|
16 |
2 |
p. 373-398
|
artikel
|
| 6 |
Gaussian mixture model with an extended ultrametric covariance structure
|
Cavicchia, Carlo
|
|
|
16 |
2 |
p. 399-427
|
artikel
|
| 7 |
How many data clusters are in the Galaxy data set?
|
Grün, Bettina
|
|
|
16 |
2 |
p. 325-349
|
artikel
|
| 8 |
Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models
|
Montanari, Giorgio Eduardo
|
|
|
16 |
2 |
p. 457-485
|
artikel
|
| 9 |
Robust logistic zero-sum regression for microbiome compositional data
|
Monti, G. S.
|
|
|
16 |
2 |
p. 301-324
|
artikel
|
| 10 |
Special issue on “Models and learning for clustering and Classification”
|
Ingrassia, Salvatore
|
|
|
16 |
2 |
p. 231-234
|
artikel
|
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