Working Paper |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
25 Years of IIF Time Series Forecasting: A Selective Review |
0 |
0 |
0 |
133 |
2 |
4 |
6 |
603 |
25 Years of IIF Time Series Forecasting: A Selective Review |
0 |
1 |
1 |
410 |
0 |
2 |
8 |
950 |
A Brief History of Forecasting Competitions |
0 |
0 |
1 |
84 |
1 |
2 |
4 |
117 |
A Feature-Based Framework for Detecting Technical Outliers in Water-Quality Data from In Situ Sensors |
0 |
0 |
0 |
26 |
0 |
1 |
2 |
47 |
A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data |
0 |
0 |
0 |
37 |
0 |
1 |
1 |
51 |
A Note on the Validity of Cross-Validation for Evaluating Time Series Prediction |
0 |
0 |
1 |
735 |
0 |
3 |
7 |
1,881 |
A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods |
0 |
1 |
8 |
611 |
0 |
3 |
16 |
1,727 |
A comparison of ten principal component methods for forecasting mortality rates |
0 |
0 |
1 |
137 |
0 |
2 |
4 |
326 |
A state space model for exponential smoothing with group seasonality |
0 |
0 |
0 |
205 |
0 |
0 |
2 |
523 |
An Improved Method for Bandwidth Selection when Estimating ROC Curves |
0 |
0 |
0 |
138 |
0 |
1 |
2 |
555 |
Anomaly Detection in High Dimensional Data |
0 |
0 |
0 |
26 |
0 |
1 |
1 |
80 |
Anomaly detection in streaming nonstationary temporal data |
0 |
0 |
1 |
122 |
1 |
2 |
6 |
289 |
Another Look at Measures of Forecast Accuracy |
1 |
1 |
4 |
1,514 |
2 |
5 |
29 |
3,894 |
Automatic time series forecasting: the forecast package for R |
0 |
1 |
3 |
1,600 |
3 |
8 |
34 |
4,702 |
Bagging Exponential Smoothing Methods using STL Decomposition and Box-Cox Transformation |
0 |
1 |
1 |
58 |
2 |
4 |
7 |
202 |
Bandwidth Selection for Kernel Conditional Density Estimation |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
1,529 |
Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC |
0 |
1 |
5 |
1,028 |
0 |
2 |
9 |
3,611 |
Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC |
1 |
1 |
1 |
597 |
1 |
2 |
3 |
2,122 |
Bayesian Rank Selection in Multivariate Regression |
0 |
0 |
0 |
51 |
0 |
1 |
1 |
93 |
Boosting multi-step autoregressive forecasts |
1 |
1 |
2 |
78 |
1 |
3 |
6 |
128 |
Calendar-based Graphics for Visualizing People's Daily Schedules |
0 |
0 |
0 |
4 |
1 |
2 |
4 |
41 |
Coherent Mortality Forecasting The Product-ratio Method with Functional Time Series Models |
0 |
1 |
3 |
54 |
0 |
2 |
6 |
301 |
Coherent Probabilistic Forecasts for Hierarchical Time Series |
0 |
0 |
2 |
85 |
0 |
1 |
8 |
189 |
Coherent mortality forecasting: the product-ratio method with functional time series models |
0 |
0 |
0 |
67 |
1 |
2 |
4 |
187 |
Conditional Normalization in Time Series Analysis |
0 |
1 |
1 |
22 |
1 |
2 |
7 |
21 |
Cross-temporal Probabilistic Forecast Reconciliation |
0 |
0 |
0 |
23 |
0 |
0 |
2 |
14 |
Density forecasting for long-term peak electricity demand |
0 |
0 |
0 |
225 |
0 |
1 |
4 |
595 |
Detecting Distributional Differences between Temporal Granularities for Exploratory Time Series Analysis |
0 |
0 |
0 |
27 |
0 |
1 |
3 |
22 |
Dimension Reduction For Outlier Detection Using DOBIN |
0 |
0 |
1 |
19 |
0 |
1 |
3 |
44 |
Distributed ARIMA Models for Ultra-long Time Series |
0 |
0 |
0 |
115 |
0 |
3 |
4 |
181 |
Efficient Identification of the Pareto Optimal Set |
0 |
0 |
0 |
13 |
1 |
2 |
4 |
93 |
Efficient generation of time series with diverse and controllable characteristics |
1 |
1 |
1 |
68 |
1 |
2 |
2 |
198 |
Empirical Information Criteria for Time Series Forecasting Model Selection |
0 |
0 |
2 |
1,000 |
0 |
1 |
3 |
3,395 |
Exponential Smoothing for Inventory Control: Means and Variances of Lead-Time Demand |
1 |
1 |
1 |
769 |
2 |
2 |
4 |
2,846 |
Exponential smoothing and non-negative data |
0 |
0 |
0 |
85 |
0 |
2 |
4 |
296 |
FFORMA: Feature-based forecast model averaging |
1 |
1 |
2 |
125 |
2 |
4 |
13 |
545 |
Fast Forecast Reconciliation Using Linear Models |
0 |
0 |
2 |
83 |
0 |
1 |
5 |
187 |
Fast computation of reconciled forecasts for hierarchical and grouped time series |
0 |
0 |
1 |
63 |
4 |
6 |
8 |
138 |
Forecast Reconciliation: A Review |
0 |
1 |
3 |
23 |
0 |
1 |
8 |
28 |
Forecast Reconciliation: A geometric View with New Insights on Bias Correction |
0 |
1 |
1 |
29 |
0 |
2 |
2 |
34 |
Forecast Reconciliation: A geometric View with New Insights on Bias Correction |
0 |
0 |
1 |
20 |
0 |
1 |
3 |
50 |
Forecasting Swiss Exports Using Bayesian Forecast Reconciliation |
0 |
0 |
0 |
45 |
0 |
0 |
1 |
50 |
Forecasting Swiss Exports using Bayesian Forecast Reconciliation |
0 |
0 |
0 |
25 |
0 |
0 |
1 |
33 |
Forecasting Time-Series with Correlated Seasonality |
0 |
0 |
0 |
262 |
0 |
1 |
2 |
769 |
Forecasting age-related changes in breast cancer mortality among white and black US women: A functional approach |
0 |
0 |
0 |
36 |
0 |
2 |
2 |
211 |
Forecasting age-specific breast cancer mortality using functional data models |
0 |
0 |
0 |
164 |
0 |
1 |
1 |
985 |
Forecasting for Social Good |
0 |
0 |
1 |
24 |
0 |
1 |
5 |
137 |
Forecasting hierarchical and grouped time series through trace minimization |
1 |
1 |
3 |
89 |
2 |
4 |
11 |
192 |
Forecasting the Old-Age Dependency Ratio to Determine a Sustainable Pension Age |
0 |
0 |
1 |
27 |
0 |
2 |
10 |
276 |
Forecasting time series with complex seasonal patterns using exponential smoothing |
0 |
1 |
4 |
219 |
2 |
4 |
13 |
565 |
Forecasting with Temporal Hierarchies |
0 |
0 |
1 |
51 |
1 |
3 |
5 |
145 |
Forecasting with Temporal Hierarchies |
0 |
0 |
3 |
74 |
2 |
4 |
11 |
245 |
Generalized Additive Modelling of Mixed Distribution Markov Models with Application to Melbourne's Rainfall |
0 |
0 |
1 |
251 |
1 |
2 |
4 |
1,563 |
Grouped functional time series forecasting: An application to age-specific mortality rates |
1 |
1 |
2 |
71 |
2 |
2 |
5 |
117 |
Half-Life Estimation based on the Bias-Corrected Bootstrap: A Highest Density Region Approach |
0 |
0 |
1 |
188 |
0 |
2 |
3 |
904 |
Hierarchical Forecasting |
0 |
0 |
3 |
106 |
3 |
4 |
12 |
220 |
Hierarchical forecasts for Australian domestic tourism |
0 |
0 |
0 |
128 |
0 |
1 |
4 |
383 |
Improved Interval Estimation of Long Run Response from a Dynamic Linear Model: A Highest Density Region Approach |
0 |
0 |
0 |
13 |
0 |
2 |
3 |
115 |
Improved Interval Estimation of Long Run Response from a Dynamic Linear Model: A Highest Density Region Approach |
0 |
0 |
0 |
3 |
0 |
1 |
3 |
97 |
Improving out-of-sample Forecasts of Stock Price Indexes with Forecast Reconciliation and Clustering |
0 |
2 |
3 |
26 |
0 |
4 |
13 |
29 |
Invertibility Conditions for Exponential Smoothing Models |
0 |
0 |
0 |
417 |
0 |
1 |
2 |
2,637 |
Leave-one-out Kernel Density Estimates for Outlier Detection |
0 |
1 |
2 |
17 |
0 |
3 |
5 |
55 |
Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions |
0 |
0 |
1 |
212 |
0 |
1 |
5 |
786 |
Local Linear Forecasts Using Cubic Smoothing Splines |
0 |
0 |
1 |
559 |
0 |
1 |
4 |
1,974 |
Local Linear Multivariate Regression with Variable Bandwidth in the Presence of Heteroscedasticity |
0 |
0 |
0 |
199 |
0 |
1 |
3 |
726 |
Long-term Forecasts of Age-specific Labour Market Participation Rates with Functional Data Models |
0 |
0 |
2 |
24 |
0 |
1 |
4 |
61 |
Long-term forecasts of age-specific participation rates with functional data models |
0 |
0 |
0 |
37 |
1 |
2 |
3 |
75 |
Low-dimensional decomposition, smoothing and forecasting of sparse functional data |
0 |
0 |
0 |
71 |
2 |
3 |
4 |
95 |
Macroeconomic forecasting for Australia using a large number of predictors |
0 |
0 |
0 |
175 |
0 |
2 |
3 |
301 |
Manifold Learning with Approximate Nearest Neighbors |
0 |
0 |
1 |
37 |
0 |
1 |
8 |
80 |
Meta-learning how to forecast time series |
0 |
1 |
8 |
211 |
1 |
4 |
21 |
583 |
Mixed Model-Based Hazard Estimation |
0 |
0 |
0 |
133 |
1 |
2 |
3 |
644 |
Modelling and forecasting Australian domestic tourism |
0 |
0 |
1 |
378 |
1 |
3 |
5 |
927 |
Monitoring Processes with Changing Variances |
0 |
0 |
0 |
60 |
0 |
2 |
3 |
170 |
Non Parametric Confidence Intervals for Receiver Operating Characteristic Curves |
0 |
0 |
0 |
234 |
0 |
1 |
1 |
1,209 |
Non-linear exponential smoothing and positive data |
0 |
0 |
0 |
118 |
0 |
1 |
4 |
528 |
Nonlinear Mixed Effects Models for Time Series Forecasting of Smart Meter Demand |
0 |
0 |
0 |
24 |
0 |
1 |
1 |
41 |
Nonparametric Estimation and Symmetry Tests for Conditional Density Functions |
0 |
0 |
0 |
183 |
0 |
1 |
1 |
1,025 |
Nonparametric autocovariance function estimation |
0 |
0 |
0 |
69 |
0 |
1 |
2 |
1,085 |
Nonparametric estimation and symmetry tests for conditional density functions |
0 |
0 |
0 |
4 |
2 |
3 |
3 |
63 |
Nonparametric time series forecasting with dynamic updating |
0 |
0 |
0 |
160 |
0 |
1 |
1 |
390 |
On normalization and algorithm selection for unsupervised outlier detection |
0 |
0 |
0 |
36 |
0 |
2 |
3 |
86 |
Optimal Non-negative Forecast Reconciliation |
0 |
0 |
0 |
36 |
1 |
3 |
6 |
92 |
Optimal combination forecasts for hierarchical time series |
0 |
0 |
2 |
285 |
0 |
2 |
13 |
676 |
Optimal forecast reconciliation for hierarchical and grouped time series through trace minimization |
1 |
1 |
2 |
60 |
1 |
4 |
10 |
134 |
Prediction Intervals for Exponential Smoothing State Space Models |
0 |
1 |
1 |
637 |
0 |
2 |
6 |
2,142 |
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality |
0 |
0 |
1 |
52 |
2 |
3 |
9 |
42 |
Probabilisitic forecasts in hierarchical time series |
0 |
0 |
0 |
61 |
1 |
2 |
4 |
132 |
Probabilistic Forecast Reconciliation: Properties, Evaluation and Score Optimisation |
0 |
0 |
0 |
53 |
0 |
2 |
11 |
104 |
Probabilistic time series forecasting with boosted additive models: an application to smart meter data |
0 |
0 |
0 |
78 |
1 |
3 |
7 |
176 |
Rainbow plots, Bagplots and Boxplots for Functional Data |
0 |
0 |
1 |
84 |
0 |
1 |
3 |
359 |
Rating Forecasts for Television Programs |
0 |
0 |
0 |
223 |
1 |
2 |
2 |
638 |
Recursive and direct multi-step forecasting: the best of both worlds |
2 |
4 |
39 |
438 |
8 |
21 |
148 |
1,289 |
Residual Diagnostic Plots for Checking for model Mis-Specification in Time Series Regression |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1,724 |
Robust forecasting of mortality and fertility rates: a functional data approach |
0 |
0 |
3 |
429 |
0 |
1 |
7 |
1,225 |
STR: A Seasonal-Trend Decomposition Procedure Based on Regression |
1 |
1 |
2 |
154 |
1 |
5 |
24 |
438 |
Seasonal Functional Autoregressive Models |
0 |
0 |
0 |
41 |
1 |
2 |
3 |
69 |
Short-term load forecasting based on a semi-parametric additive model |
0 |
1 |
2 |
74 |
1 |
3 |
6 |
225 |
Some Nonlinear Exponential Smoothing Models are Unstable |
0 |
0 |
1 |
217 |
0 |
1 |
4 |
1,052 |
Spatial modelling of the two-party preferred vote in Australian federal elections: 2001-2016 |
1 |
1 |
1 |
43 |
3 |
4 |
6 |
131 |
Statistical Methodological Issues in Studies of Air Pollution and Respiratory Disease |
0 |
0 |
0 |
209 |
0 |
1 |
1 |
1,049 |
Stochastic models underlying Croston's method for intermittent demand forecasting |
0 |
0 |
0 |
2,171 |
0 |
1 |
3 |
6,634 |
Stochastic population forecasts using functional data models for mortality, fertility and migration |
0 |
1 |
4 |
263 |
0 |
2 |
12 |
863 |
The Australian Macro Database: An online resource for macroeconomic research in Australia |
0 |
0 |
0 |
20 |
0 |
1 |
3 |
59 |
The Australian Macro Database: An online resource for macroeconomic research in Australia |
0 |
0 |
0 |
38 |
1 |
2 |
3 |
82 |
The Road to Recovery from COVID-19 for Australian Tourism |
0 |
0 |
0 |
64 |
0 |
2 |
7 |
141 |
The price elasticity of electricity demand in South Australia |
0 |
0 |
0 |
186 |
0 |
1 |
3 |
474 |
The tourism forecasting competition |
0 |
1 |
2 |
156 |
0 |
2 |
3 |
483 |
The value of feedback in forecasting competitions |
0 |
0 |
0 |
59 |
0 |
1 |
2 |
196 |
The vector innovation structural time series framework: a simple approach to multivariate forecasting |
0 |
0 |
0 |
180 |
1 |
3 |
3 |
496 |
Time Series Forecasting: The Case for the Single Source of Error State Space |
0 |
0 |
1 |
335 |
0 |
2 |
5 |
1,301 |
Two-dimensional smoothing of mortality rates |
0 |
0 |
0 |
33 |
0 |
1 |
1 |
98 |
Unmasking the Theta Method |
0 |
1 |
1 |
310 |
1 |
2 |
3 |
1,219 |
Using R to Teach Econometrics |
0 |
1 |
3 |
2,176 |
1 |
3 |
10 |
4,406 |
Visualising forecasting Algorithm Performance using Time Series Instance Spaces |
0 |
0 |
0 |
107 |
0 |
2 |
4 |
139 |
Visualizing Probability Distributions across Bivariate Cyclic Temporal Granularities |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
7 |
Total Working Papers |
13 |
35 |
155 |
24,941 |
72 |
253 |
783 |
81,707 |
Journal Article |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
25 years of time series forecasting |
0 |
2 |
10 |
258 |
0 |
8 |
40 |
942 |
A Bayesian approach to bandwidth selection for multivariate kernel density estimation |
0 |
0 |
1 |
107 |
0 |
1 |
3 |
320 |
A brief history of forecasting competitions |
0 |
0 |
4 |
31 |
2 |
4 |
22 |
131 |
A change of editors |
0 |
0 |
0 |
7 |
0 |
1 |
1 |
65 |
A gradient boosting approach to the Kaggle load forecasting competition |
1 |
1 |
2 |
55 |
1 |
3 |
9 |
305 |
A multivariate innovations state space Beveridge-Nelson decomposition |
0 |
0 |
0 |
33 |
1 |
2 |
3 |
165 |
A note on the categorization of demand patterns |
0 |
0 |
1 |
5 |
0 |
1 |
3 |
26 |
A note on the validity of cross-validation for evaluating autoregressive time series prediction |
1 |
3 |
27 |
254 |
5 |
14 |
88 |
674 |
A note on upper bounds for forecast-value-added relative to naïve forecasts |
0 |
0 |
0 |
2 |
1 |
2 |
3 |
42 |
A state space framework for automatic forecasting using exponential smoothing methods |
2 |
4 |
19 |
258 |
4 |
12 |
51 |
881 |
Another Look at Forecast Accuracy Metrics for Intermittent Demand |
1 |
2 |
5 |
397 |
5 |
14 |
43 |
1,458 |
Another look at measures of forecast accuracy |
3 |
7 |
31 |
436 |
11 |
19 |
123 |
1,540 |
Assessing mortality inequality in the U.S.: What can be said about the future? |
0 |
0 |
0 |
3 |
0 |
1 |
2 |
10 |
Automatic Time Series Forecasting: The forecast Package for R |
1 |
1 |
2 |
481 |
5 |
9 |
35 |
2,262 |
Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation |
0 |
0 |
4 |
45 |
1 |
3 |
17 |
188 |
Bandwidth selection for kernel conditional density estimation |
0 |
1 |
3 |
112 |
1 |
3 |
7 |
333 |
Call for Papers: Special issue of the International Journal of Forecasting on tourism forecasting |
0 |
0 |
0 |
28 |
1 |
1 |
1 |
237 |
Changing of the guard |
0 |
0 |
0 |
3 |
0 |
1 |
1 |
41 |
Coherent Mortality Forecasting: The Product-Ratio Method With Functional Time Series Models |
0 |
0 |
0 |
20 |
0 |
2 |
6 |
137 |
Cross-temporal probabilistic forecast reconciliation: Methodological and practical issues |
0 |
0 |
1 |
1 |
0 |
0 |
2 |
2 |
Crude oil price forecasting based on internet concern using an extreme learning machine |
0 |
0 |
2 |
22 |
1 |
3 |
6 |
89 |
Distributed ARIMA models for ultra-long time series |
0 |
0 |
0 |
4 |
0 |
1 |
8 |
17 |
Dynamic algorithm selection for pareto optimal set approximation |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
26 |
Early classification of spatio-temporal events using partial information |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
6 |
Editorial |
0 |
0 |
0 |
9 |
0 |
1 |
1 |
116 |
Encouraging replication and reproducible research |
0 |
0 |
0 |
16 |
0 |
1 |
1 |
79 |
Exploring the sources of uncertainty: Why does bagging for time series forecasting work? |
0 |
0 |
3 |
21 |
1 |
2 |
9 |
85 |
Exponential smoothing models: Means and variances for lead-time demand |
0 |
0 |
0 |
27 |
0 |
2 |
4 |
162 |
FFORMA: Feature-based forecast model averaging |
0 |
1 |
5 |
39 |
0 |
5 |
30 |
204 |
Fast computation of reconciled forecasts for hierarchical and grouped time series |
0 |
0 |
0 |
6 |
0 |
3 |
4 |
58 |
Forecast combinations: An over 50-year review |
0 |
3 |
11 |
22 |
3 |
10 |
32 |
48 |
Forecast reconciliation: A geometric view with new insights on bias correction |
0 |
0 |
1 |
10 |
1 |
4 |
8 |
48 |
Forecast reconciliation: A review |
0 |
0 |
5 |
5 |
2 |
4 |
18 |
18 |
Forecasting Swiss exports using Bayesian forecast reconciliation |
0 |
0 |
0 |
5 |
0 |
0 |
0 |
22 |
Forecasting for social good |
0 |
0 |
0 |
2 |
0 |
2 |
2 |
9 |
Forecasting in social settings: The state of the art |
0 |
0 |
0 |
15 |
1 |
5 |
13 |
96 |
Forecasting time series with multiple seasonal patterns |
0 |
0 |
0 |
187 |
1 |
2 |
4 |
663 |
Forecasting with temporal hierarchies |
1 |
5 |
9 |
20 |
5 |
11 |
23 |
90 |
Forecasting, causality and feedback |
1 |
1 |
2 |
9 |
2 |
5 |
8 |
21 |
Free Open-Source Forecasting Using R |
0 |
1 |
2 |
167 |
0 |
3 |
5 |
490 |
Half-life estimation based on the bias-corrected bootstrap: A highest density region approach |
0 |
0 |
0 |
41 |
0 |
2 |
5 |
222 |
Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data |
0 |
1 |
1 |
5 |
0 |
2 |
5 |
21 |
Hierarchical forecasts for Australian domestic tourism |
0 |
0 |
5 |
99 |
0 |
2 |
9 |
397 |
Improved interval estimation of long run response from a dynamic linear model: A highest density region approach |
0 |
0 |
0 |
11 |
1 |
2 |
2 |
125 |
Improved methods for bandwidth selection when estimating ROC curves |
0 |
0 |
0 |
11 |
0 |
2 |
2 |
83 |
Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions |
0 |
0 |
0 |
70 |
1 |
2 |
2 |
457 |
LoMEF: A framework to produce local explanations for global model time series forecasts |
0 |
0 |
0 |
1 |
1 |
1 |
7 |
9 |
Macroeconomic forecasting for Australia using a large number of predictors |
0 |
0 |
0 |
6 |
1 |
3 |
5 |
38 |
Minimum Sample Size requirements for Seasonal Forecasting Models |
0 |
0 |
4 |
214 |
2 |
4 |
34 |
1,082 |
Modern Strategies for Time Series Regression |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
10 |
Monitoring processes with changing variances |
0 |
0 |
0 |
20 |
0 |
1 |
3 |
121 |
Nonparametric time series forecasting with dynamic updating |
0 |
0 |
0 |
3 |
0 |
1 |
2 |
55 |
Non‐linear mixed‐effects models for time series forecasting of smart meter demand |
0 |
0 |
1 |
3 |
1 |
2 |
3 |
12 |
On continuous-time threshold autoregression |
0 |
0 |
0 |
51 |
0 |
1 |
2 |
174 |
Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization |
1 |
1 |
9 |
19 |
4 |
6 |
22 |
88 |
Optimal combination forecasts for hierarchical time series |
0 |
0 |
5 |
84 |
0 |
5 |
19 |
368 |
Optimally Reconciling Forecasts in a Hierarchy |
1 |
1 |
6 |
171 |
2 |
3 |
13 |
427 |
Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods |
0 |
0 |
0 |
20 |
0 |
1 |
1 |
136 |
Predicting sediment and nutrient concentrations from high-frequency water-quality data |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
6 |
Prediction intervals for exponential smoothing using two new classes of state space models |
0 |
1 |
1 |
150 |
0 |
3 |
11 |
580 |
Principles and algorithms for forecasting groups of time series: Locality and globality |
0 |
0 |
1 |
6 |
1 |
2 |
10 |
45 |
Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond |
2 |
5 |
19 |
139 |
2 |
13 |
55 |
537 |
Probabilistic forecast reconciliation: Properties, evaluation and score optimisation |
0 |
2 |
5 |
7 |
1 |
7 |
17 |
23 |
Reconstructing Missing and Anomalous Data Collected from High-Frequency In-Situ Sensors in Fresh Waters |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
Robust forecasting of mortality and fertility rates: A functional data approach |
0 |
1 |
16 |
361 |
0 |
6 |
42 |
978 |
STR: Seasonal-Trend Decomposition Using Regression |
0 |
0 |
7 |
10 |
0 |
2 |
44 |
59 |
Seasonal functional autoregressive models |
0 |
0 |
0 |
4 |
0 |
1 |
4 |
18 |
Smoothing non-Gaussian time series with autoregressive structure |
0 |
0 |
0 |
29 |
0 |
1 |
2 |
182 |
Some Properties and Generalizations of Non‐negative Bayesian Time Series Models |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
7 |
Stochastic models underlying Croston's method for intermittent demand forecasting |
1 |
2 |
2 |
503 |
1 |
3 |
6 |
1,877 |
Stochastic population forecasts using functional data models for mortality, fertility and migration |
0 |
0 |
10 |
141 |
0 |
3 |
29 |
403 |
The admissible parameter space for exponential smoothing models |
0 |
0 |
0 |
89 |
0 |
3 |
3 |
244 |
The interaction between trend and seasonality |
0 |
0 |
1 |
84 |
42 |
43 |
48 |
335 |
The price elasticity of electricity demand in South Australia |
0 |
0 |
4 |
115 |
1 |
3 |
18 |
424 |
The tourism forecasting competition |
0 |
0 |
1 |
54 |
2 |
4 |
10 |
418 |
The tourism forecasting competition |
0 |
0 |
4 |
26 |
1 |
4 |
14 |
188 |
The value of feedback in forecasting competitions |
0 |
0 |
0 |
5 |
0 |
1 |
2 |
75 |
The value of feedback in forecasting competitions |
0 |
0 |
0 |
12 |
1 |
2 |
2 |
131 |
Tourism forecasting: An introduction |
0 |
0 |
0 |
49 |
1 |
2 |
2 |
153 |
Twenty-five years of forecasting |
0 |
0 |
1 |
64 |
0 |
0 |
1 |
180 |
Unmasking the Theta method |
1 |
2 |
7 |
81 |
1 |
4 |
13 |
418 |
Using R to teach econometrics |
0 |
0 |
4 |
1,488 |
0 |
2 |
9 |
3,476 |
Visualising forecasting algorithm performance using time series instance spaces |
0 |
1 |
1 |
30 |
0 |
3 |
6 |
146 |
YULE‐WALKER ESTIMATES FOR CONTINUOUS‐TIME AUTOREGRESSIVE MODELS |
0 |
1 |
1 |
6 |
1 |
3 |
5 |
18 |
Total Journal Articles |
17 |
50 |
266 |
7,410 |
123 |
325 |
1,132 |
26,854 |