| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A recursive point process model for infectious diseases
|
Schoenberg, Frederic Paik
|
|
2018
|
71 |
5 |
p. 1271-1287
|
artikel
|
| 2 |
A recursive point process model for infectious diseases
|
Schoenberg, Frederic Paik
|
|
|
71 |
5 |
p. 1271-1287
|
artikel
|
| 3 |
Correction to: On the strong universal consistency of local averaging regression estimates
|
Hansmann, Matthias
|
|
2018
|
71 |
5 |
p. 1265-1269
|
artikel
|
| 4 |
CUSUM test for general nonlinear integer-valued GARCH models: comparison study
|
Lee, Youngmi
|
|
2018
|
71 |
5 |
p. 1033-1057
|
artikel
|
| 5 |
Joint feature screening for ultra-high-dimensional sparse additive hazards model by the sparsity-restricted pseudo-score estimator
|
Chen, Xiaolin
|
|
2018
|
71 |
5 |
p. 1007-1031
|
artikel
|
| 6 |
Maximum likelihood estimation of autoregressive models with a near unit root and Cauchy errors
|
Choi, Jungjun
|
|
2018
|
71 |
5 |
p. 1121-1142
|
artikel
|
| 7 |
Modified residual CUSUM test for location-scale time series models with heteroscedasticity
|
Oh, Haejune
|
|
2018
|
71 |
5 |
p. 1059-1091
|
artikel
|
| 8 |
On Hodges’ superefficiency and merits of oracle property in model selection
|
Wu, Xianyi
|
|
2018
|
71 |
5 |
p. 1093-1119
|
artikel
|
| 9 |
On the strong universal consistency of local averaging regression estimates
|
Hansmann, Matthias
|
|
2018
|
71 |
5 |
p. 1233-1263
|
artikel
|
| 10 |
Quantile estimations via modified Cholesky decomposition for longitudinal single-index models
|
Lv, Jing
|
|
2018
|
71 |
5 |
p. 1163-1199
|
artikel
|
| 11 |
Robust statistical inference based on the C-divergence family
|
Maji, Avijit
|
|
2018
|
71 |
5 |
p. 1289-1322
|
artikel
|
| 12 |
Semiparametric estimation in regression with missing covariates using single-index models
|
Sun, Zhuoer
|
|
2018
|
71 |
5 |
p. 1201-1232
|
artikel
|
| 13 |
The Berry–Esseen bounds of the weighted estimator in a nonparametric regression model
|
Wang, Xuejun
|
|
2018
|
71 |
5 |
p. 1143-1162
|
artikel
|
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