Spatio‐Temporal Dependence Measures for Bivariate AR(1) Models with α‐Stable Noise.
- Published in:
- Journal of Time Series Analysis, 2020, v. 41, n. 3, p. 454, doi. 10.1111/jtsa.12517
- By:
- Publication type:
- Article
Works matching IS 01439782 AND DT 2020 AND VI 41 AND IP 3
Results: 9
1
2
A Flexible Univariate Autoregressive Time‐Series Model for Dispersed Count Data.
- Published in:
- Journal of Time Series Analysis, 2020, v. 41, n. 3, p. 436, doi. 10.1111/jtsa.12516
- By:
- Publication type:
- Article
3
Consistency of the Hill Estimator for Time Series Observed with Measurement Errors.
- Published in:
- Journal of Time Series Analysis, 2020, v. 41, n. 3, p. 421, doi. 10.1111/jtsa.12515
- By:
- Publication type:
- Article
4
On the Stationary Marginal Distributions of Subclasses of Multivariate Setar Processes of Order One.
- Published in:
- Journal of Time Series Analysis, 2020, v. 41, n. 3, p. 406, doi. 10.1111/jtsa.12514
- By:
- Publication type:
- Article
5
Location Multiplicative Error Models with Quasi Maximum Likelihood Estimation.
- Published in:
- Journal of Time Series Analysis, 2020, v. 41, n. 3, p. 387, doi. 10.1111/jtsa.12513
- By:
- Publication type:
- Article
6
Nonlinear Factor‐Augmented Predictive Regression Models with Functional Coefficients.
- Published in:
- Journal of Time Series Analysis, 2020, v. 41, n. 3, p. 367, doi. 10.1111/jtsa.12511
- By:
- Publication type:
- Article
7
Time Series: a Data Analysis Approach Using R By Robert H. Shumway and David S. Stoffer. Published by Taylor & Francis Group, LLC, Boca Raton, London, New York, 2019. ISBN: 9780367221096 (Hardback).
- Published in:
- 2020
- By:
- Publication type:
- Book Review
8
The Marginal Density of a TMA(1) Process.
- Published in:
- Journal of Time Series Analysis, 2020, v. 41, n. 3, p. 476, doi. 10.1111/jtsa.12501
- By:
- Publication type:
- Article
9
Issue Information.
- Published in:
- Journal of Time Series Analysis, 2020, v. 41, n. 3, p. 365, doi. 10.1111/jtsa.12484
- Publication type:
- Article