Rob J. Hyndman

Jae H. Kim, Iain Fraser, Rob J. Hyndman: Improved interval estimation of long run response from a dynamic linear model: A highest density region approach. Computational Statistics & Data Analysis 55(8): 2477-2489 (2011)

Rob J. Hyndman, Roman A. Ahmed, George Athanasopoulos, Han Lin Shang: Optimal combination forecasts for hierarchical time series. Computational Statistics & Data Analysis 55(9): 2579-2589 (2011)

Han Lin Shang, Rob J. Hyndman: Nonparametric time series forecasting with dynamic updating. Mathematics and Computers in Simulation 81(7): 1310-1324 (2011)

Laura Villanova, Paolo Falcaro, Davide Carta, Irene Poli, Rob J. Hyndman, Kate Smith-Miles: Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling. IEEE Congress on Evolutionary Computation 2010: 1-8

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)

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)

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)

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)

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)

Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman: Characteristic-Based Clustering for Time Series Data. Data Min. Knowl. Discov. 13(3): 335-364 (2006)

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

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)