Proceedings of Reisensburg 2016–2017.
- Published in:
- 2019
- By:
- Publication type:
- Editorial
Works matching IS 09434062 AND DT 2019 AND VI 34 AND IP 3
Results: 20
1
2
Periodic autoregressive models with closed skew-normal innovations.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1183, doi. 10.1007/s00180-019-00893-z
- By:
- Publication type:
- Article
3
A note on parallel sampling in Markov graphs.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1087, doi. 10.1007/s00180-019-00880-4
- By:
- Publication type:
- Article
4
A multiple-try Metropolis–Hastings algorithm with tailored proposals.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1109, doi. 10.1007/s00180-019-00878-y
- By:
- Publication type:
- Article
5
Recursive estimation of multivariate hidden Markov model parameters.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1337, doi. 10.1007/s00180-019-00877-z
- By:
- Publication type:
- Article
6
Two-sided exponential–geometric distribution: inference and volatility modeling.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1215, doi. 10.1007/s00180-019-00873-3
- By:
- Publication type:
- Article
7
Bayesian model-based clustering for longitudinal ordinal data.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1015, doi. 10.1007/s00180-019-00872-4
- By:
- Publication type:
- Article
8
An enhanced genetic algorithm with new mutation for cluster analysis.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1355, doi. 10.1007/s00180-019-00871-5
- By:
- Publication type:
- Article
9
Mixtures of multivariate restricted skew-normal factor analyzer models in a Bayesian framework.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1039, doi. 10.1007/s00180-019-00870-6
- By:
- Publication type:
- Article
10
Probability of misclassification in model-based clustering.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1427, doi. 10.1007/s00180-019-00868-0
- By:
- Publication type:
- Article
11
Some new statistical methods for a class of zero-truncated discrete distributions with applications.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1393, doi. 10.1007/s00180-018-00860-0
- By:
- Publication type:
- Article
12
On the robustness of an epsilon skew extension for Burr III distribution on the real line.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1247, doi. 10.1007/s00180-018-0859-y
- By:
- Publication type:
- Article
13
Robust Bayesian seemingly unrelated regression model.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1135, doi. 10.1007/s00180-018-0854-3
- By:
- Publication type:
- Article
14
Objective Bayesian tests for Fieller–Creasy problem.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1159, doi. 10.1007/s00180-018-0853-4
- By:
- Publication type:
- Article
15
A skew-normal dynamic linear model and Bayesian forecasting.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1055, doi. 10.1007/s00180-018-0848-1
- By:
- Publication type:
- Article
16
Robust estimation for spatial autoregressive processes based on bounded innovation propagation representations.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1315, doi. 10.1007/s00180-018-0845-4
- By:
- Publication type:
- Article
17
Investigating GQL-based inferential approaches for non-stationary BINAR(1) model under different quantum of over-dispersion with application.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 1275, doi. 10.1007/s00180-018-0836-5
- By:
- Publication type:
- Article
18
Sparse kernel deep stacking networks.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 993, doi. 10.1007/s00180-018-0832-9
- By:
- Publication type:
- Article
19
Time series anomaly detection based on shapelet learning.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 945, doi. 10.1007/s00180-018-0824-9
- By:
- Publication type:
- Article
20
OpenML: An R package to connect to the machine learning platform OpenML.
- Published in:
- Computational Statistics, 2019, v. 34, n. 3, p. 977, doi. 10.1007/s00180-017-0742-2
- By:
- Publication type:
- Article