| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A multiple-try Metropolis–Hastings algorithm with tailored proposals
|
Luo, Xin
|
|
2019
|
34 |
3 |
p. 1109-1133
|
article
|
| 2 |
An enhanced genetic algorithm with new mutation for cluster analysis
|
El-Shorbagy, M. A.
|
|
2019
|
34 |
3 |
p. 1355-1392
|
article
|
| 3 |
A note on parallel sampling in Markov graphs
|
Bauer, Verena
|
|
2019
|
34 |
3 |
p. 1087-1107
|
article
|
| 4 |
A skew-normal dynamic linear model and Bayesian forecasting
|
Arellano-Valle, Reinaldo B.
|
|
2018
|
34 |
3 |
p. 1055-1085
|
article
|
| 5 |
Bayesian model-based clustering for longitudinal ordinal data
|
Costilla, Roy
|
|
2019
|
34 |
3 |
p. 1015-1038
|
article
|
| 6 |
Investigating GQL-based inferential approaches for non-stationary BINAR(1) model under different quantum of over-dispersion with application
|
Mamode Khan, N.
|
|
2018
|
34 |
3 |
p. 1275-1313
|
article
|
| 7 |
Mixtures of multivariate restricted skew-normal factor analyzer models in a Bayesian framework
|
Maleki, Mohsen
|
|
2019
|
34 |
3 |
p. 1039-1053
|
article
|
| 8 |
Objective Bayesian tests for Fieller–Creasy problem
|
Kim, Dal Ho
|
|
2018
|
34 |
3 |
p. 1159-1182
|
article
|
| 9 |
On the robustness of an epsilon skew extension for Burr III distribution on the real line
|
Çankaya, Mehmet Niyazi
|
|
2019
|
34 |
3 |
p. 1247-1273
|
article
|
| 10 |
OpenML: An R package to connect to the machine learning platform OpenML
|
Casalicchio, Giuseppe
|
|
2017
|
34 |
3 |
p. 977-991
|
article
|
| 11 |
Periodic autoregressive models with closed skew-normal innovations
|
Manouchehri, T.
|
|
2019
|
34 |
3 |
p. 1183-1213
|
article
|
| 12 |
Probability of misclassification in model-based clustering
|
Zhu, Xuwen
|
|
2019
|
34 |
3 |
p. 1427-1442
|
article
|
| 13 |
Proceedings of Reisensburg 2016–2017
|
Schmid, Matthias
|
|
2019
|
34 |
3 |
p. 943-944
|
article
|
| 14 |
Recursive estimation of multivariate hidden Markov model parameters
|
Vaičiulytė, Jūratė
|
|
2019
|
34 |
3 |
p. 1337-1353
|
article
|
| 15 |
Robust Bayesian seemingly unrelated regression model
|
Mbah, Chamberlain
|
|
2018
|
34 |
3 |
p. 1135-1157
|
article
|
| 16 |
Robust estimation for spatial autoregressive processes based on bounded innovation propagation representations
|
Britos, Grisel Maribel
|
|
2018
|
34 |
3 |
p. 1315-1335
|
article
|
| 17 |
Some new statistical methods for a class of zero-truncated discrete distributions with applications
|
Tian, Guo-Liang
|
|
2019
|
34 |
3 |
p. 1393-1426
|
article
|
| 18 |
Sparse kernel deep stacking networks
|
Welchowski, Thomas
|
|
2018
|
34 |
3 |
p. 993-1014
|
article
|
| 19 |
Time series anomaly detection based on shapelet learning
|
Beggel, Laura
|
|
2018
|
34 |
3 |
p. 945-976
|
article
|
| 20 |
Two-sided exponential–geometric distribution: inference and volatility modeling
|
Altun, Emrah
|
|
2019
|
34 |
3 |
p. 1215-1245
|
article
|
Journal description