Volume 31; Issue 2

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Computational Statistics
Volume 31; Issue 2

Computational Statistics

Volume 31; Issue 2

1

A multistage algorithm for best-subset model selection based on the Kullback–Leibler discrepancy

Zhang, Tao, Cavanaugh, Joseph E.

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 623 KB

english, 2016

2

Selectiongain: an R package for optimizing multi-stage selection

Mi, Xuefei, Utz, H. Friedrich, Melchinger, Albrecht E.

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 545 KB

english, 2016

3

Confidence interval estimation by a joint pivot method

Xu, Wangli, Yu, Wei, Li, Zaixing

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 490 KB

english, 2016

4

Introducinglibeemd: a program package for performing the ensemble empirical mode decomposition

Luukko, P. J. J., Helske, J., Räsänen, E.

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 572 KB

english, 2016

5

A sequential multiple change-point detection procedure via VIF regression

X. Shi, X. Wang, D. Wei, Y. Wu

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 1.32 MB

english, 2016

6

Correcting statistical models via empirical distribution functions

Munteanu, Alexander, Wornowizki, Max

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 939 KB

english, 2016

7

Random variate generation and connected computational issues for the Poisson–Tweedie distribution

Baccini, Alberto, Barabesi, Lucio, Stracqualursi, Luisa

Journal:

Computational Statistics

Year:

2016

File:

PDF, 521 KB

2016

8

Random variate generation and connected computational issues for the Poisson–Tweedie distribution

Baccini, Alberto, Barabesi, Lucio, Stracqualursi, Luisa

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 521 KB

english, 2016

9

Semiparametric variable selection for partially varying coefficient models with endogenous variables

Yuan, Jinyi, Zhao, Peixin, Zhang, Weiguo

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 469 KB

english, 2016

10

A stochastic expectation-maximization algorithm for the analysis of system lifetime data with known signature

Yang, Yandan, Ng, Hon Keung Tony, Balakrishnan, Narayanaswamy

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 705 KB

english, 2016

11

Boosting in Cox regression: a comparison between the likelihood-based and the model-based approaches with focus on the R-packagesCoxBoostandmboost

De Bin, Riccardo

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 636 KB

english, 2016

12

Comparison of Value-at-Risk models using the MCS approach

Bernardi, Mauro, Catania, Leopoldo

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 618 KB

english, 2016

13

Density-based clustering with non-continuous data

Azzalini, Adelchi, Menardi, Giovanna

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 940 KB

english, 2016

14

Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians

Yu, Philip L. H., Lee, Paul H., Cheung, S. F., Lau, Esther Y. Y., Mok, Doris S. Y., Hui, Harry C.

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 813 KB

english, 2016

15

Second-order generalized estimating equations for correlated count data

Kalema, George, Molenberghs, Geert, Kassahun, Wondwosen

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 876 KB

english, 2016

16

ProbabilityDistributome: a web computational infrastructure for exploring the properties, interrelations, and applications of probability distributions

Dinov, Ivo D., Siegrist, Kyle, Pearl, Dennis K., Kalinin, Alexandr, Christou, Nicolas

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 1.46 MB

english, 2016

17

Composite likelihood and maximum likelihood methods for joint latent class modeling of disease prevalence and high-dimensional semicontinuous biomarker data

Zhang, Bo, Liu, Wei, Zhang, Hui, Chen, Qihui, Zhang, Zhiwei

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 559 KB

english, 2016

18

On high-dimensional two sample mean testing statistics: a comparative study with a data adaptive choice of coefficient vector

Kim, Soeun, Ahn, Jae Youn, Lee, Woojoo

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 439 KB

english, 2016

19

Improving efficiency of data augmentation algorithms using Peskun’s theorem

Roy, Vivekananda

Journal:

Computational Statistics

Year:

2016

Language:

english

File:

PDF, 594 KB

english, 2016