| 2009 |
|---|
| 8 | EE | Xiaozhe Wang,
Kate Amanda Smith-Miles,
Rob J. Hyndman:
Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series.
Neurocomputing 72(10-12): 2581-2594 (2009) |
| 2008 |
|---|
| 7 | EE | Phillip G. Gould,
Anne B. Koehler,
J. Keith Ord,
Ralph D. Snyder,
Rob J. Hyndman,
Farshid Vahid-Araghi:
Forecasting time series with multiple seasonal patterns.
European Journal of Operational Research 191(1): 207-222 (2008) |
| 2007 |
|---|
| 6 | EE | Rob J. Hyndman,
Md. Shahid Ullah:
Robust forecasting of mortality and fertility rates: A functional data approach.
Computational Statistics & Data Analysis 51(10): 4942-4956 (2007) |
| 5 | EE | Jae H. Kim,
Param Silvapulle,
Rob J. Hyndman:
Half-life estimation based on the bias-corrected bootstrap: A highest density region approach.
Computational Statistics & Data Analysis 51(7): 3418-3432 (2007) |
| 2006 |
|---|
| 4 | EE | Xibin Zhang,
Maxwell L. King,
Rob J. Hyndman:
A Bayesian approach to bandwidth selection for multivariate kernel density estimation.
Computational Statistics & Data Analysis 50(11): 3009-3031 (2006) |
| 3 | EE | Xiaozhe Wang,
Kate A. Smith,
Rob J. Hyndman:
Characteristic-Based Clustering for Time Series Data.
Data Min. Knowl. Discov. 13(3): 335-364 (2006) |
| 2005 |
|---|
| 2 | EE | Xiaozhe Wang,
Kate A. Smith,
Rob J. Hyndman:
Dimension Reduction for Clustering Time Series Using Global Characteristics.
International Conference on Computational Science (3) 2005: 792-795 |
| 2004 |
|---|
| 1 | EE | Ralph D. Snyder,
Anne B. Koehler,
Rob J. Hyndman,
J. Keith Ord:
Exponential smoothing models: Means and variances for lead-time demand.
European Journal of Operational Research 158(2): 444-455 (2004) |
