| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density
|
Shang, Han Lin
|
|
2013
|
29 |
3-4 |
p. 829-848
|
artikel
|
| 2 |
Canonical Forest
|
Chen, Yu-Chuan
|
|
2013
|
29 |
3-4 |
p. 849-867
|
artikel
|
| 3 |
Confidence intervals for ratio of two Poisson rates using the method of variance estimates recovery
|
Li, Hui-Qiong
|
|
2013
|
29 |
3-4 |
p. 869-889
|
artikel
|
| 4 |
Copula selection for graphical models in continuous Estimation of Distribution Algorithms
|
Salinas-Gutiérrez, Rogelio
|
|
2013
|
29 |
3-4 |
p. 685-713
|
artikel
|
| 5 |
Discriminative variable selection for clustering with the sparse Fisher-EM algorithm
|
Bouveyron, Charles
|
|
2013
|
29 |
3-4 |
p. 489-513
|
artikel
|
| 6 |
Fast algorithms for a space-time concordance measure
|
Rey, Sergio J.
|
|
2013
|
29 |
3-4 |
p. 799-811
|
artikel
|
| 7 |
Fixed-rank matrix factorizations and Riemannian low-rank optimization
|
Mishra, Bamdev
|
|
2013
|
29 |
3-4 |
p. 591-621
|
artikel
|
| 8 |
From simple structure to sparse components: a review
|
Trendafilov, Nickolay T.
|
|
2013
|
29 |
3-4 |
p. 431-454
|
artikel
|
| 9 |
High-dimensional variable screening and bias in subsequent inference, with an empirical comparison
|
Bühlmann, Peter
|
|
2013
|
29 |
3-4 |
p. 407-430
|
artikel
|
| 10 |
Holonomic gradient descent for the Fisher–Bingham distribution on the $$d$$d-dimensional sphere
|
Koyama, Tamio
|
|
2013
|
29 |
3-4 |
p. 661-683
|
artikel
|
| 11 |
On the implementation of LIR: the case of simple linear regression with interval data
|
Cattaneo, Marco E. G. V.
|
|
2013
|
29 |
3-4 |
p. 743-767
|
artikel
|
| 12 |
Regularized principal components of heritability
|
Fang, Yixin
|
|
2013
|
29 |
3-4 |
p. 455-465
|
artikel
|
| 13 |
Remarks on a parameter estimation for von Mises–Fisher distributions
|
Baricz, Árpád
|
|
2014
|
29 |
3-4 |
p. 891-894
|
artikel
|
| 14 |
Robust PCA and subspace tracking from incomplete observations using $$\ell _0$$ℓ0-surrogates
|
Hage, Clemens
|
|
2013
|
29 |
3-4 |
p. 467-487
|
artikel
|
| 15 |
Semiparametric regression analysis for clustered doubly-censored data
|
Shen, Pao-sheng
|
|
2013
|
29 |
3-4 |
p. 813-828
|
artikel
|
| 16 |
Sensitivity analysis for inference with partially identifiable covariance matrices
|
G’Sell, Max Grazier
|
|
2013
|
29 |
3-4 |
p. 529-546
|
artikel
|
| 17 |
Simple nonparametric estimators of the bivariate survival function under random left truncation and right censoring
|
Shen, Pao-sheng
|
|
2013
|
29 |
3-4 |
p. 641-659
|
artikel
|
| 18 |
Sparse distance metric learning
|
Choy, Tze
|
|
2013
|
29 |
3-4 |
p. 515-528
|
artikel
|
| 19 |
Sparse matrices in data analysis
|
Trendafilov, Nickolay
|
|
2013
|
29 |
3-4 |
p. 403-405
|
artikel
|
| 20 |
Sparse matrices in frame theory
|
Krahmer, Felix
|
|
2013
|
29 |
3-4 |
p. 547-568
|
artikel
|
| 21 |
Sparse trace norm regularization
|
Chen, Jianhui
|
|
2013
|
29 |
3-4 |
p. 623-639
|
artikel
|
| 22 |
Testing the hypothesis of absence of unobserved confounding in semiparametric bivariate probit models
|
Marra, Giampiero
|
|
2013
|
29 |
3-4 |
p. 715-741
|
artikel
|
| 23 |
Two Newton methods on the manifold of fixed-rank matrices endowed with Riemannian quotient geometries
|
Absil, P.-A.
|
|
2013
|
29 |
3-4 |
p. 569-590
|
artikel
|
| 24 |
Using sliced mean variance–covariance inverse regression for classification and dimension reduction
|
Lindsey, Charles D.
|
|
2013
|
29 |
3-4 |
p. 769-798
|
artikel
|
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