nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Bayesian network data imputation with application to survival tree analysis
|
Rancoita, Paola M.V. |
|
2016 |
93 |
C |
p. 373-387 15 p. |
artikel |
2 |
Causal mediation analysis for survival outcome with unobserved mediator–outcome confounders
|
Luo, Peng |
|
2016 |
93 |
C |
p. 336-347 12 p. |
artikel |
3 |
Clustering with the multivariate normal inverse Gaussian distribution
|
O’Hagan, Adrian |
|
2016 |
93 |
C |
p. 18-30 13 p. |
artikel |
4 |
Contents
|
|
|
2016 |
93 |
C |
p. vi-viii nvt p. |
artikel |
5 |
CSDA Special Issues
|
Kontoghiorghes, Erricos J. |
|
2016 |
93 |
C |
p. 1- 1 p. |
artikel |
6 |
Editorial Board
|
|
|
2016 |
93 |
C |
p. iii-v nvt p. |
artikel |
7 |
EM algorithms for estimating the Bernstein copula
|
Dou, Xiaoling |
|
2016 |
93 |
C |
p. 228-245 18 p. |
artikel |
8 |
Empirical likelihood confidence regions for one- or two- samples with doubly censored data
|
Shen, Junshan |
|
2016 |
93 |
C |
p. 285-293 9 p. |
artikel |
9 |
Finite mixture of nonlinear mixed-effects joint models in the presence of missing and mismeasured covariate, with application to AIDS studies
|
Lu, Xiaosun |
|
2016 |
93 |
C |
p. 119-130 12 p. |
artikel |
10 |
Flexible estimation in cure survival models using Bayesian P-splines
|
Bremhorst, Vincent |
|
2016 |
93 |
C |
p. 270-284 15 p. |
artikel |
11 |
Full Bayesian inference with hazard mixture models
|
Arbel, Julyan |
|
2016 |
93 |
C |
p. 359-372 14 p. |
artikel |
12 |
General framework and model building in the class of Hidden Mixture Transition Distribution models
|
Bolano, Danilo |
|
2016 |
93 |
C |
p. 131-145 15 p. |
artikel |
13 |
Goodness-of-fit test of the stratified mark-specific proportional hazards model with continuous mark
|
Sun, Yanqing |
|
2016 |
93 |
C |
p. 348-358 11 p. |
artikel |
14 |
Identifying connected components in Gaussian finite mixture models for clustering
|
Scrucca, Luca |
|
2016 |
93 |
C |
p. 5-17 13 p. |
artikel |
15 |
Laplace mixture of linear experts
|
Nguyen, Hien D. |
|
2016 |
93 |
C |
p. 177-191 15 p. |
artikel |
16 |
Latent profile analysis with nonnormal mixtures: A Monte Carlo examination of model selection using fit indices
|
Morgan, Grant B. |
|
2016 |
93 |
C |
p. 146-161 16 p. |
artikel |
17 |
Maximum likelihood estimation and expectation–maximization algorithm for controlled branching processes
|
González, M. |
|
2016 |
93 |
C |
p. 209-227 19 p. |
artikel |
18 |
Minimum volume peeling: A robust nonparametric estimator of the multivariate mode
|
Kirschstein, T. |
|
2016 |
93 |
C |
p. 456-468 13 p. |
artikel |
19 |
Mixture-based clustering for the ordered stereotype model
|
Fernández, D. |
|
2016 |
93 |
C |
p. 46-75 30 p. |
artikel |
20 |
Mixtures of quantile regressions
|
Wu, Qiang |
|
2016 |
93 |
C |
p. 162-176 15 p. |
artikel |
21 |
Mixtures of spatial spline regressions for clustering and classification
|
Nguyen, Hien D. |
|
2016 |
93 |
C |
p. 76-85 10 p. |
artikel |
22 |
Model-based biclustering of clickstream data
|
Melnykov, Volodymyr |
|
2016 |
93 |
C |
p. 31-45 15 p. |
artikel |
23 |
Modelling receiver operating characteristic curves using Gaussian mixtures
|
Cheam, Amay S.M. |
|
2016 |
93 |
C |
p. 192-208 17 p. |
artikel |
24 |
New upper bounds for tight and fast approximation of Fisher’s exact test in dependency rule mining
|
Hämäläinen, Wilhelmiina |
|
2016 |
93 |
C |
p. 469-482 14 p. |
artikel |
25 |
Noise peeling methods to improve boosting algorithms
|
Martinez, Waldyn |
|
2016 |
93 |
C |
p. 483-497 15 p. |
artikel |
26 |
Nonparametric estimation of species richness using discrete k -monotone distributions
|
Chee, Chew-Seng |
|
2016 |
93 |
C |
p. 107-118 12 p. |
artikel |
27 |
Nonparametric regression with doubly truncated data
|
Moreira, C. |
|
2016 |
93 |
C |
p. 294-307 14 p. |
artikel |
28 |
On the estimation of mixtures of Poisson regression models with large number of components
|
Papastamoulis, Panagiotis |
|
2016 |
93 |
C |
p. 97-106 10 p. |
artikel |
29 |
Parametrically guided nonparametric density and hazard estimation with censored data
|
Talamakrouni, Majda |
|
2016 |
93 |
C |
p. 308-323 16 p. |
artikel |
30 |
Partially linear transformation cure models for interval-censored data
|
Hu, Tao |
|
2016 |
93 |
C |
p. 257-269 13 p. |
artikel |
31 |
Robust estimation of precision matrices under cellwise contamination
|
Tarr, G. |
|
2016 |
93 |
C |
p. 404-420 17 p. |
artikel |
32 |
Robust groupwise least angle regression
|
Alfons, Andreas |
|
2016 |
93 |
C |
p. 421-435 15 p. |
artikel |
33 |
Robust tests for linear regression models based on τ -estimates
|
Salibian-Barrera, Matias |
|
2016 |
93 |
C |
p. 436-455 20 p. |
artikel |
34 |
Sparse estimation of high-dimensional correlation matrices
|
Cui, Ying |
|
2016 |
93 |
C |
p. 390-403 14 p. |
artikel |
35 |
Special Issue on Advances in Data Mining and Robust Statistics
|
Berry, Michael W. |
|
2016 |
93 |
C |
p. 388-389 2 p. |
artikel |
36 |
Special issue on advances in survival analysis
|
Datta, Somnath |
|
2016 |
93 |
C |
p. 255-256 2 p. |
artikel |
37 |
The liability threshold model for censored twin data
|
Holst, Klaus K. |
|
2016 |
93 |
C |
p. 324-335 12 p. |
artikel |
38 |
The Third Special Issue on Advances in Mixture Models
|
Hinde, John |
|
2016 |
93 |
C |
p. 2-4 3 p. |
artikel |
39 |
Transdimensional sequential Monte Carlo using variational Bayes — SMCVB
|
McGrory, C.A. |
|
2016 |
93 |
C |
p. 246-254 9 p. |
artikel |
40 |
Wavelet-based scalar-on-function finite mixture regression models
|
Ciarleglio, Adam |
|
2016 |
93 |
C |
p. 86-96 11 p. |
artikel |