| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Bayesian method for simultaneous registration and clustering of functional observations
|
Wu, Zizhen
|
|
2016
|
101 |
C |
p. 121-136
16 p.
|
artikel
|
| 2 |
Accurate pairwise convolutions of non-negative vectors via FFT
|
Wilson, Huon
|
|
2016
|
101 |
C |
p. 300-315
16 p.
|
artikel
|
| 3 |
A fast and objective multidimensional kernel density estimation method: fastKDE
|
O’Brien, Travis A.
|
|
2016
|
101 |
C |
p. 148-160
13 p.
|
artikel
|
| 4 |
Bayesian nonparametric multiple testing
|
Cipolli III, William
|
|
2016
|
101 |
C |
p. 64-79
16 p.
|
artikel
|
| 5 |
Bayes shrinkage estimation for high-dimensional VAR models with scale mixture of normal distributions for noise
|
Lee, Namgil
|
|
2016
|
101 |
C |
p. 250-276
27 p.
|
artikel
|
| 6 |
Change of spatiotemporal scale in dynamic models
|
Kim, Yongku
|
|
2016
|
101 |
C |
p. 80-92
13 p.
|
artikel
|
| 7 |
Computation of the autocovariances for time series with multiple long-range persistencies
|
McElroy, Tucker S.
|
|
2016
|
101 |
C |
p. 44-56
13 p.
|
artikel
|
| 8 |
Contents
|
|
|
2016
|
101 |
C |
p. vi-vii
nvt p.
|
artikel
|
| 9 |
Covariate-adjusted quantile inference with competing risks
|
Lee, Minjung
|
|
2016
|
101 |
C |
p. 57-63
7 p.
|
artikel
|
| 10 |
Data Shared Lasso: A novel tool to discover uplift
|
Gross, Samuel M.
|
|
2016
|
101 |
C |
p. 226-235
10 p.
|
artikel
|
| 11 |
Dynamic GSCANO (Generalized Structured Canonical Correlation Analysis) with applications to the analysis of effective connectivity in functional neuroimaging data
|
Zhou, Lixing
|
|
2016
|
101 |
C |
p. 93-109
17 p.
|
artikel
|
| 12 |
Editorial Board
|
|
|
2016
|
101 |
C |
p. iii-v
nvt p.
|
artikel
|
| 13 |
EM algorithm in Gaussian copula with missing data
|
Ding, Wei
|
|
2016
|
101 |
C |
p. 1-11
11 p.
|
artikel
|
| 14 |
High resolution simulation of nonstationary Gaussian random fields
|
Kleiber, William
|
|
2016
|
101 |
C |
p. 277-288
12 p.
|
artikel
|
| 15 |
Inference and mixture modeling with the Elliptical Gamma Distribution
|
Hosseini, Reshad
|
|
2016
|
101 |
C |
p. 29-43
15 p.
|
artikel
|
| 16 |
l 1 regularized multiplicative iterative path algorithm for non-negative generalized linear models
|
Mandal, B.N.
|
|
2016
|
101 |
C |
p. 289-299
11 p.
|
artikel
|
| 17 |
Maximum likelihood estimation of the mixture of log-concave densities
|
Hu, Hao
|
|
2016
|
101 |
C |
p. 137-147
11 p.
|
artikel
|
| 18 |
Multivariate frailty models for multi-type recurrent event data and its application to cancer prevention trial
|
Bedair, Khaled
|
|
2016
|
101 |
C |
p. 161-173
13 p.
|
artikel
|
| 19 |
Prior selection for panel vector autoregressions
|
Korobilis, Dimitris
|
|
2016
|
101 |
C |
p. 110-120
11 p.
|
artikel
|
| 20 |
Random density functions with common atoms and pairwise dependence
|
Hatjispyros, Spyridon J.
|
|
2016
|
101 |
C |
p. 236-249
14 p.
|
artikel
|
| 21 |
Robust closed-form estimators for the integer-valued GARCH (1,1) model
|
Li, Qi
|
|
2016
|
101 |
C |
p. 209-225
17 p.
|
artikel
|
| 22 |
Structure learning in Bayesian Networks using regular vines
|
Hobæk Haff, Ingrid
|
|
2016
|
101 |
C |
p. 186-208
23 p.
|
artikel
|
| 23 |
Symmetric adaptive smoothing regimens for estimation of the spatial relative risk function
|
Davies, Tilman M.
|
|
2016
|
101 |
C |
p. 12-28
17 p.
|
artikel
|
| 24 |
Using link-preserving imputation for logistic partially linear models with missing covariates
|
Chen, Qixuan
|
|
2016
|
101 |
C |
p. 174-185
12 p.
|
artikel
|
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