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Last month |
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12 months |
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25 Years of IIF Time Series Forecasting: A Selective Review |
0 |
0 |
2 |
113 |
2 |
4 |
9 |
449 |

25 Years of IIF Time Series Forecasting: A Selective Review |
0 |
1 |
3 |
380 |
0 |
2 |
12 |
782 |

A Note on the Validity of Cross-Validation for Evaluating Time Series Prediction |
0 |
8 |
67 |
67 |
0 |
15 |
21 |
21 |

A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods |
0 |
0 |
7 |
551 |
2 |
3 |
29 |
1,552 |

A comparison of ten principal component methods for forecasting mortality rates |
0 |
2 |
7 |
118 |
0 |
4 |
22 |
232 |

A state space model for exponential smoothing with group seasonality |
0 |
0 |
1 |
195 |
1 |
3 |
14 |
457 |

An Improved Method for Bandwidth Selection when Estimating ROC Curves |
0 |
0 |
0 |
133 |
0 |
1 |
4 |
506 |

Another Look at Measures of Forecast Accuracy |
0 |
8 |
44 |
1,295 |
0 |
13 |
100 |
3,336 |

Automatic time series forecasting: the forecast package for R |
0 |
4 |
10 |
1,503 |
2 |
12 |
63 |
4,021 |

Bagging Exponential Smoothing Methods using STL Decomposition and Box-Cox Transformation |
0 |
1 |
3 |
34 |
0 |
1 |
14 |
25 |

Bandwidth Selection for Kernel Conditional Density Estimation |
0 |
0 |
0 |
0 |
1 |
4 |
9 |
1,420 |

Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC |
1 |
2 |
9 |
997 |
3 |
8 |
61 |
3,417 |

Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC |
0 |
0 |
2 |
593 |
1 |
7 |
22 |
2,032 |

Boosting multi-step autoregressive forecasts |
0 |
0 |
2 |
58 |
1 |
3 |
11 |
21 |

Coherent Mortality Forecasting The Product-ratio Method with Functional Time Series Models |
0 |
4 |
11 |
28 |
0 |
6 |
41 |
146 |

Coherent mortality forecasting: the product-ratio method with functional time series models |
0 |
0 |
6 |
62 |
0 |
0 |
11 |
108 |

Density forecasting for long-term peak electricity demand |
0 |
1 |
4 |
187 |
1 |
4 |
16 |
445 |

Efficient Identification of the Pareto Optimal Set |
0 |
0 |
2 |
9 |
1 |
3 |
16 |
23 |

Empirical Information Criteria for Time Series Forecasting Model Selection |
0 |
1 |
2 |
986 |
3 |
7 |
12 |
3,322 |

Exponential Smoothing for Inventory Control: Means and Variances of Lead-Time Demand |
0 |
1 |
3 |
761 |
0 |
2 |
12 |
2,774 |

Exponential smoothing and non-negative data |
0 |
0 |
1 |
81 |
4 |
8 |
22 |
250 |

Fast computation of reconciled forecasts for hierarchical and grouped time series |
1 |
3 |
7 |
44 |
1 |
6 |
19 |
26 |

Forecasting Time-Series with Correlated Seasonality |
0 |
0 |
2 |
252 |
0 |
1 |
9 |
691 |

Forecasting age-related changes in breast cancer mortality among white and black US women: A functional approach |
0 |
0 |
0 |
35 |
0 |
2 |
8 |
158 |

Forecasting age-specific breast cancer mortality using functional data models |
0 |
0 |
0 |
157 |
0 |
4 |
7 |
927 |

Forecasting time series with complex seasonal patterns using exponential smoothing |
2 |
4 |
16 |
150 |
2 |
6 |
40 |
358 |

Generalized Additive Modelling of Mixed Distribution Markov Models with Application to Melbourne's Rainfall |
0 |
1 |
3 |
240 |
0 |
3 |
11 |
1,508 |

Half-Life Estimation based on the Bias-Corrected Bootstrap: A Highest Density Region Approach |
0 |
0 |
0 |
183 |
0 |
1 |
11 |
807 |

Hierarchical forecasts for Australian domestic tourism |
0 |
0 |
2 |
110 |
1 |
1 |
8 |
273 |

Improved Interval Estimation of Long Run Response from a Dynamic Linear Model: A Highest Density Region Approach |
0 |
0 |
0 |
2 |
0 |
1 |
6 |
43 |

Improved Interval Estimation of Long Run Response from a Dynamic Linear Model: A Highest Density Region Approach |
0 |
0 |
1 |
13 |
0 |
1 |
2 |
62 |

Invertibility Conditions for Exponential Smoothing Models |
0 |
0 |
1 |
411 |
0 |
0 |
5 |
2,582 |

Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions |
0 |
0 |
0 |
195 |
1 |
2 |
11 |
707 |

Local Linear Forecasts Using Cubic Smoothing Splines |
0 |
0 |
3 |
538 |
1 |
6 |
36 |
1,861 |

Local Linear Multivariate Regression with Variable Bandwidth in the Presence of Heteroscedasticity |
0 |
0 |
0 |
190 |
0 |
2 |
7 |
620 |

Low-dimensional decomposition, smoothing and forecasting of sparse functional data |
0 |
0 |
3 |
53 |
0 |
5 |
15 |
21 |

Mixed Model-Based Hazard Estimation |
0 |
0 |
0 |
132 |
0 |
8 |
12 |
611 |

Modelling and forecasting Australian domestic tourism |
0 |
0 |
2 |
350 |
0 |
3 |
15 |
826 |

Monitoring Processes with Changing Variances |
0 |
0 |
1 |
55 |
0 |
2 |
7 |
129 |

Non Parametric Confidence Intervals for Receiver Operating Characteristic Curves |
0 |
0 |
0 |
232 |
0 |
2 |
5 |
1,162 |

Non-linear exponential smoothing and positive data |
0 |
0 |
1 |
117 |
0 |
1 |
6 |
455 |

Nonparametric Estimation and Symmetry Tests for Conditional Density Functions |
0 |
0 |
0 |
177 |
1 |
3 |
5 |
963 |

Nonparametric autocovariance function estimation |
0 |
0 |
0 |
69 |
0 |
0 |
0 |
1,046 |

Nonparametric estimation and symmetry tests for conditional density functions |
0 |
0 |
1 |
1 |
1 |
3 |
6 |
13 |

Nonparametric time series forecasting with dynamic updating |
0 |
0 |
6 |
153 |
0 |
12 |
27 |
322 |

Optimal combination forecasts for hierarchical time series |
0 |
1 |
9 |
240 |
0 |
3 |
21 |
515 |

Prediction Intervals for Exponential Smoothing State Space Models |
0 |
1 |
10 |
574 |
0 |
2 |
29 |
1,951 |

Probabilistic time series forecasting with boosted additive models: an application to smart meter data |
0 |
39 |
39 |
39 |
0 |
7 |
7 |
7 |

Rainbow plots, Bagplots and Boxplots for Functional Data |
0 |
2 |
3 |
69 |
0 |
5 |
17 |
255 |

Rating Forecasts for Television Programs |
0 |
1 |
6 |
209 |
0 |
5 |
23 |
564 |

Recursive and direct multi-step forecasting: the best of both worlds |
0 |
1 |
10 |
23 |
1 |
5 |
18 |
59 |

Residual Diagnostic Plots for Checking for model Mis-Specification in Time Series Regression |
0 |
0 |
0 |
0 |
0 |
7 |
23 |
1,636 |

Robust forecasting of mortality and fertility rates: a functional data approach |
0 |
0 |
5 |
365 |
2 |
5 |
24 |
1,037 |

STR: A Seasonal-Trend Decomposition Procedure Based on Regression |
2 |
48 |
48 |
48 |
1 |
11 |
11 |
11 |

Short-term load forecasting based on a semi-parametric additive model |
0 |
1 |
3 |
64 |
0 |
4 |
8 |
136 |

Some Nonlinear Exponential Smoothing Models are Unstable |
0 |
0 |
1 |
207 |
0 |
3 |
9 |
989 |

Statistical Methodological Issues in Studies of Air Pollution and Respiratory Disease |
0 |
0 |
0 |
205 |
0 |
3 |
11 |
1,007 |

Stochastic models underlying Croston's method for intermittent demand forecasting |
0 |
3 |
18 |
2,158 |
0 |
14 |
102 |
6,546 |

Stochastic population forecasts using functional data models for mortality, fertility and migration |
0 |
1 |
10 |
243 |
0 |
6 |
29 |
747 |

The price elasticity of electricity demand in South Australia |
0 |
3 |
11 |
121 |
0 |
3 |
25 |
262 |

The tourism forecasting competition |
0 |
0 |
1 |
140 |
2 |
3 |
19 |
333 |

The value of feedback in forecasting competitions |
0 |
1 |
5 |
53 |
0 |
6 |
13 |
114 |

The vector innovation structural time series framework: a simple approach to multivariate forecasting |
0 |
1 |
1 |
173 |
0 |
1 |
7 |
425 |

Time Series Forecasting: The Case for the Single Source of Error State Space |
0 |
0 |
2 |
309 |
0 |
4 |
16 |
1,186 |

Two-dimensional smoothing of mortality rates |
0 |
0 |
4 |
22 |
0 |
1 |
12 |
23 |

Unmasking the Theta Method |
0 |
0 |
0 |
291 |
0 |
1 |
6 |
1,121 |

Using R to Teach Econometrics |
0 |
4 |
16 |
2,122 |
0 |
9 |
36 |
4,240 |

Total Working Papers |
6 |
148 |
437 |
19,685 |
36 |
293 |
1,265 |
64,674 |