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12 months |
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Last month |
3 months |
12 months |
Total |

25 Years of IIF Time Series Forecasting: A Selective Review |
0 |
0 |
1 |
126 |
2 |
2 |
8 |
514 |

25 Years of IIF Time Series Forecasting: A Selective Review |
2 |
3 |
4 |
403 |
2 |
4 |
12 |
854 |

A Brief History of Forecasting Competitions |
0 |
3 |
62 |
62 |
3 |
14 |
33 |
33 |

A Feature-Based Framework for Detecting Technical Outliers in Water-Quality Data from In Situ Sensors |
0 |
6 |
19 |
19 |
0 |
8 |
11 |
11 |

A Note on the Validity of Cross-Validation for Evaluating Time Series Prediction |
7 |
11 |
46 |
567 |
10 |
30 |
150 |
1,407 |

A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods |
1 |
4 |
8 |
578 |
1 |
6 |
15 |
1,626 |

A comparison of ten principal component methods for forecasting mortality rates |
0 |
0 |
3 |
125 |
0 |
1 |
7 |
277 |

A state space model for exponential smoothing with group seasonality |
0 |
0 |
1 |
202 |
0 |
0 |
2 |
489 |

An Improved Method for Bandwidth Selection when Estimating ROC Curves |
0 |
0 |
0 |
134 |
0 |
1 |
3 |
536 |

Anomaly detection in streaming nonstationary temporal data |
2 |
7 |
22 |
72 |
5 |
22 |
90 |
109 |

Another Look at Measures of Forecast Accuracy |
1 |
5 |
12 |
1,451 |
3 |
13 |
47 |
3,703 |

Automatic time series forecasting: the forecast package for R |
2 |
4 |
11 |
1,542 |
9 |
21 |
75 |
4,265 |

Bagging Exponential Smoothing Methods using STL Decomposition and Box-Cox Transformation |
0 |
0 |
2 |
49 |
0 |
4 |
19 |
111 |

Bandwidth Selection for Kernel Conditional Density Estimation |
0 |
0 |
0 |
0 |
0 |
7 |
22 |
1,489 |

Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC |
1 |
1 |
1 |
1,008 |
1 |
2 |
11 |
3,503 |

Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC |
0 |
0 |
0 |
593 |
0 |
2 |
5 |
2,079 |

Bayesian Rank Selection in Multivariate Regression |
0 |
0 |
1 |
49 |
2 |
2 |
9 |
64 |

Boosting multi-step autoregressive forecasts |
1 |
1 |
1 |
75 |
3 |
4 |
6 |
89 |

Coherent Mortality Forecasting The Product-ratio Method with Functional Time Series Models |
0 |
1 |
1 |
45 |
3 |
7 |
12 |
228 |

Coherent Probabilistic Forecasts for Hierarchical Time Series |
0 |
0 |
3 |
65 |
1 |
1 |
20 |
73 |

Coherent mortality forecasting: the product-ratio method with functional time series models |
0 |
0 |
0 |
66 |
0 |
2 |
5 |
158 |

Density forecasting for long-term peak electricity demand |
0 |
0 |
5 |
208 |
0 |
1 |
13 |
509 |

Efficient Identification of the Pareto Optimal Set |
0 |
0 |
0 |
11 |
0 |
1 |
4 |
58 |

Efficient generation of time series with diverse and controllable characteristics |
1 |
1 |
41 |
41 |
6 |
14 |
40 |
40 |

Empirical Information Criteria for Time Series Forecasting Model Selection |
0 |
0 |
1 |
990 |
0 |
1 |
6 |
3,364 |

Exponential Smoothing for Inventory Control: Means and Variances of Lead-Time Demand |
0 |
0 |
0 |
763 |
0 |
0 |
1 |
2,815 |

Exponential smoothing and non-negative data |
0 |
0 |
0 |
85 |
0 |
2 |
5 |
282 |

FFORMA: Feature-based forecast model averaging |
2 |
6 |
39 |
39 |
6 |
29 |
65 |
65 |

Fast computation of reconciled forecasts for hierarchical and grouped time series |
0 |
1 |
2 |
57 |
0 |
3 |
10 |
78 |

Forecasting Time-Series with Correlated Seasonality |
0 |
0 |
0 |
258 |
0 |
1 |
5 |
737 |

Forecasting age-related changes in breast cancer mortality among white and black US women: A functional approach |
0 |
0 |
0 |
35 |
1 |
1 |
3 |
190 |

Forecasting age-specific breast cancer mortality using functional data models |
0 |
0 |
0 |
161 |
1 |
1 |
3 |
961 |

Forecasting hierarchical and grouped time series through trace minimization |
0 |
0 |
1 |
74 |
0 |
2 |
14 |
129 |

Forecasting time series with complex seasonal patterns using exponential smoothing |
1 |
3 |
5 |
189 |
1 |
6 |
15 |
458 |

Forecasting with Temporal Hierarchies |
0 |
0 |
0 |
61 |
0 |
1 |
7 |
46 |

Forecasting with Temporal Hierarchies |
0 |
1 |
2 |
45 |
0 |
1 |
8 |
63 |

Generalized Additive Modelling of Mixed Distribution Markov Models with Application to Melbourne's Rainfall |
0 |
0 |
2 |
247 |
0 |
0 |
5 |
1,536 |

Grouped functional time series forecasting: An application to age-specific mortality rates |
0 |
0 |
0 |
65 |
0 |
2 |
14 |
75 |

Half-Life Estimation based on the Bias-Corrected Bootstrap: A Highest Density Region Approach |
0 |
0 |
1 |
187 |
0 |
2 |
4 |
874 |

Hierarchical Forecasting |
6 |
10 |
45 |
45 |
16 |
26 |
42 |
42 |

Hierarchical forecasts for Australian domestic tourism |
0 |
0 |
1 |
121 |
0 |
2 |
9 |
333 |

Improved Interval Estimation of Long Run Response from a Dynamic Linear Model: A Highest Density Region Approach |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
75 |

Improved Interval Estimation of Long Run Response from a Dynamic Linear Model: A Highest Density Region Approach |
0 |
0 |
0 |
13 |
0 |
0 |
1 |
99 |

Invertibility Conditions for Exponential Smoothing Models |
0 |
1 |
1 |
414 |
0 |
1 |
2 |
2,607 |

Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions |
0 |
0 |
0 |
199 |
0 |
0 |
5 |
751 |

Local Linear Forecasts Using Cubic Smoothing Splines |
1 |
1 |
3 |
548 |
1 |
2 |
6 |
1,928 |

Local Linear Multivariate Regression with Variable Bandwidth in the Presence of Heteroscedasticity |
0 |
0 |
1 |
195 |
0 |
1 |
9 |
692 |

Long-term Forecasts of Age-specific Labour Market Participation Rates with Functional Data Models |
0 |
0 |
1 |
18 |
0 |
1 |
5 |
39 |

Long-term forecasts of age-specific participation rates with functional data models |
1 |
1 |
3 |
35 |
1 |
2 |
11 |
49 |

Low-dimensional decomposition, smoothing and forecasting of sparse functional data |
0 |
1 |
4 |
63 |
0 |
2 |
9 |
59 |

Macroeconomic forecasting for Australia using a large number of predictors |
0 |
1 |
5 |
169 |
0 |
2 |
14 |
242 |

Meta-learning how to forecast time series |
2 |
11 |
59 |
106 |
14 |
39 |
141 |
160 |

Mixed Model-Based Hazard Estimation |
0 |
0 |
0 |
133 |
0 |
2 |
4 |
628 |

Modelling and forecasting Australian domestic tourism |
0 |
0 |
3 |
361 |
1 |
3 |
11 |
873 |

Monitoring Processes with Changing Variances |
0 |
1 |
1 |
58 |
0 |
3 |
3 |
155 |

Non Parametric Confidence Intervals for Receiver Operating Characteristic Curves |
0 |
0 |
0 |
234 |
0 |
3 |
4 |
1,190 |

Non-linear exponential smoothing and positive data |
0 |
0 |
0 |
117 |
2 |
4 |
8 |
499 |

Nonparametric Estimation and Symmetry Tests for Conditional Density Functions |
0 |
0 |
0 |
181 |
0 |
0 |
4 |
994 |

Nonparametric autocovariance function estimation |
0 |
0 |
0 |
69 |
1 |
1 |
2 |
1,066 |

Nonparametric estimation and symmetry tests for conditional density functions |
0 |
0 |
0 |
3 |
0 |
1 |
3 |
40 |

Nonparametric time series forecasting with dynamic updating |
0 |
1 |
1 |
156 |
0 |
2 |
3 |
363 |

On normalization and algorithm selection for unsupervised outlier detection |
0 |
0 |
24 |
24 |
0 |
1 |
19 |
19 |

Optimal combination forecasts for hierarchical time series |
0 |
0 |
2 |
270 |
2 |
3 |
21 |
606 |

Optimal forecast reconciliation for hierarchical and grouped time series through trace minimization |
0 |
0 |
1 |
32 |
0 |
1 |
8 |
23 |

Prediction Intervals for Exponential Smoothing State Space Models |
1 |
1 |
7 |
601 |
3 |
4 |
20 |
2,041 |

Probabilisitic forecasts in hierarchical time series |
0 |
0 |
37 |
37 |
0 |
8 |
30 |
30 |

Probabilistic time series forecasting with boosted additive models: an application to smart meter data |
0 |
1 |
3 |
64 |
1 |
7 |
24 |
117 |

Rainbow plots, Bagplots and Boxplots for Functional Data |
0 |
1 |
3 |
75 |
0 |
1 |
6 |
313 |

Rating Forecasts for Television Programs |
0 |
0 |
0 |
218 |
0 |
1 |
3 |
617 |

Recursive and direct multi-step forecasting: the best of both worlds |
6 |
15 |
39 |
80 |
17 |
43 |
111 |
245 |

Residual Diagnostic Plots for Checking for model Mis-Specification in Time Series Regression |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
1,696 |

Robust forecasting of mortality and fertility rates: a functional data approach |
0 |
1 |
5 |
386 |
1 |
2 |
10 |
1,106 |

STR: A Seasonal-Trend Decomposition Procedure Based on Regression |
1 |
3 |
6 |
94 |
4 |
10 |
27 |
161 |

Short-term load forecasting based on a semi-parametric additive model |
0 |
0 |
0 |
65 |
0 |
2 |
11 |
182 |

Some Nonlinear Exponential Smoothing Models are Unstable |
0 |
1 |
3 |
212 |
1 |
3 |
8 |
1,021 |

Spatial modelling of the two-party preferred vote in Australian federal elections: 2001-2016 |
3 |
18 |
18 |
18 |
16 |
39 |
39 |
39 |

Statistical Methodological Issues in Studies of Air Pollution and Respiratory Disease |
0 |
0 |
0 |
207 |
0 |
0 |
1 |
1,033 |

Stochastic models underlying Croston's method for intermittent demand forecasting |
0 |
1 |
1 |
2,168 |
0 |
3 |
5 |
6,600 |

Stochastic population forecasts using functional data models for mortality, fertility and migration |
0 |
0 |
1 |
252 |
0 |
2 |
8 |
815 |

The Australian Macro Database: An online resource for macroeconomic research in Australia |
0 |
0 |
1 |
19 |
1 |
1 |
3 |
27 |

The Australian Macro Database: An online resource for macroeconomic research in Australia |
0 |
0 |
0 |
36 |
0 |
0 |
1 |
50 |

The price elasticity of electricity demand in South Australia |
0 |
3 |
12 |
173 |
2 |
6 |
38 |
394 |

The tourism forecasting competition |
0 |
0 |
1 |
151 |
0 |
3 |
10 |
410 |

The value of feedback in forecasting competitions |
0 |
0 |
1 |
57 |
0 |
0 |
12 |
156 |

The vector innovation structural time series framework: a simple approach to multivariate forecasting |
0 |
0 |
0 |
176 |
0 |
2 |
6 |
465 |

Time Series Forecasting: The Case for the Single Source of Error State Space |
0 |
0 |
1 |
322 |
0 |
1 |
5 |
1,240 |

Two-dimensional smoothing of mortality rates |
0 |
0 |
1 |
26 |
0 |
0 |
4 |
58 |

Unmasking the Theta Method |
0 |
0 |
2 |
296 |
1 |
3 |
12 |
1,166 |

Using R to Teach Econometrics |
1 |
1 |
6 |
2,162 |
4 |
9 |
20 |
4,347 |

Visualising forecasting Algorithm Performance using Time Series Instance Spaces |
0 |
0 |
1 |
103 |
0 |
0 |
6 |
89 |

Total Working Papers |
43 |
132 |
601 |
22,312 |
149 |
473 |
1,554 |
71,848 |