Hyndman, Rob J.
Rob J. Hyndman Australian statistician
Hyndman, R.J.
Hyndman, Rob J., 1967-
VIAF ID: 93711086 (Personal)
Permalink: http://viaf.org/viaf/93711086
Preferred Forms
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100 1 _ ‡a Hyndman, Rob J.
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100 1 _ ‡a Hyndman, Rob J.
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100 1 _ ‡a Hyndman, Rob J.
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100 1 0 ‡a Hyndman, Rob J.
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100 1 _ ‡a Hyndman, Rob J.
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100 0 _ ‡a Rob J. Hyndman ‡c Australian statistician
4xx's: Alternate Name Forms (9)
5xx's: Related Names (5)
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ARC Centre of Excellence for Mathematics and Statistical Frontiers
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https://d-nb.info/standards/elementset/gnd#affiliation
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Affiliation
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Monash University / Faculty of Business and Economics / Department of Econometrics and Business Statistics
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Monash University
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Department of Econometrics and Business Statistics
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Monash University
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Department of Econometrics and Business Statistics
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https://d-nb.info/standards/elementset/gnd#affiliation
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Affiliation
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University of Melbourne
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https://d-nb.info/standards/elementset/gnd#affiliation
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Affiliation
Works
Title | Sources |
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25 Years of IIF Time Series Forecasting: A Selective Review |
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The admissible parameter space for exponential smoothing models |
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Algorithmes de bandits stochastiques pour la gestion de la demande électrique. |
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Another look at measures of forecast accuracy |
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Approximations and boundary conditions for continuous-time threshold autoregressive processes |
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Associations between outdoor fungal spores and childhood and adolescent asthma hospitalizations |
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A Bayesian approach to bandwidth selection for multivariate kernel density estimation |
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A change of editors |
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Changing of the guard |
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Computing and Graphing Highest Density Regions |
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Cycles and synchrony in the Collared Lemming (Dicrostonyx groenlandicus) in Arctic North America. |
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Density Forecasting for Long-Term Peak Electricity Demand |
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Do levels of airborne grass pollen influence asthma hospital admissions? |
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Dynamic algorithm selection for pareto optimal set approximation |
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Early classification of spatio-temporal events using partial information |
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Editorial |
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Efficient Identification of the Pareto Optimal Set |
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Empirical information criteria for time series forecasting model selection |
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Encouraging replication and reproducible research |
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Exploring the influence of short-term temperature patterns on temperature-related mortality: a case-study of Melbourne, Australia |
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EXPONENTIAL SMOOTHING AND NON-NEGATIVE DATA |
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Forecasting, 1998: |
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Forecasting : principles and practice : a comprehensive introduction to the latest forecasting methods using R : learn to improve your forecast accuracy using dozens of real data examples |
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Forecasting time series with multiple seasonal patterns |
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Forecasting with exponential smoothing : the state space approach |
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Forecasts of COPD mortality in Australia: 2006-2025. |
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A framework for automated anomaly detection in high frequency water-quality data from in situ sensors |
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Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling |
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Half-life estimation based on the bias-corrected bootstrap: A highest density region approach |
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Handgun Acquisitions in California After Two Mass Shootings |
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Hospital characteristics, rather than surgical volume, predict length of stay following colorectal cancer surgery |
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Improved interval estimation of long run response from a dynamic linear model: A highest density region approach |
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Improved methods for bandwidth selection when estimating ROC curves |
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The interaction between trend and seasonality |
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ITSM : an interactive time series modelling package for the PC |
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ITSM for windows : a user's guide to time series modelling and forecasting |
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Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions |
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Measurement of changes in antihypertensive drug utilisation following primary care educational interventions |
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Measuring change in prescription drug utilization in Australia |
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Method for optimizing coating properties based on an evolutionary algorithm approach |
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Mixed Model-Based Hazard Estimation |
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Modelling and forecasting Australian domestic tourism |
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Monitoring processes with changing variances |
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A multivariate innovations state space Beveridge–Nelson decomposition |
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Nonparametric Estimation and Symmetry Tests for Conditional Density Functions |
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Normative data for the Rosner Test of Visual Analysis Skills on an Australian population |
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On Sampling Methods for Costly Multi-Objective Black-Box Optimization |
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Optimal combination forecasts for hierarchical time series |
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Phenological change detection while accounting for abrupt and gradual trends in satellite image time series |
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Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods |
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Predicting sediment and nutrient concentrations from high-frequency water-quality data |
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The price elasticity of electricity demand in South Australia |
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Quantifying the influence of local meteorology on air quality using generalized additive models |
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Rainbow Plots, Bagplots, and Boxplots for Functional Data |
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Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series |
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Sample Quantiles in Statistical Packages |
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Sensitivity of the estimated air pollution-respiratory admissions relationship to statistical model choice |
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Short-term load forecasting using semi-parametric additive models |
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Smoothing non-Gaussian time series with autoregressive structure |
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Stochastic bandit algorithms for demand side management |
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Stochastic models underlying Croston's method for intermittent demand forecasting |
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Stochastic population forecasts using functional data models for mortality, fertility and migration |
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Unmasking the Theta method |
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Using functional data analysis models to estimate future time trends in age-specific breast cancer mortality for the United States and England-Wales |
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Using R to teach econometrics |
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The vector innovations structural time series framework |
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Visualising forecasting algorithm performance using time series instance spaces |
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Visualizing Big Energy Data: Solutions for This Crucial Component of Data Analysis |
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সম্পাদকীয় |
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