Lista de obras - Rob J. Hyndman - Dominio Público Uruguay

25 Years of IIF Time Series Forecasting: A Selective Review

article

25 years of time series forecasting

A Bayesian approach to bandwidth selection for multivariate kernel density estimation

A change of editors

A framework for automated anomaly detection in high frequency water-quality data from in situ sensors

artículo científico publicado en 2019

A multivariate innovations state space Beveridge–Nelson decomposition

article

A robust approach for phenological change detection within satellite image time series

A state space framework for automatic forecasting using exponential smoothing methods

Another look at measures of forecast accuracy

article by Rob J. Hyndman & Anne B. Koehler published October 2006 in International Journal of Forecasting

Approximations and boundary conditions for continuous-time threshold autoregressive processes

Associations between outdoor fungal spores and childhood and adolescent asthma hospitalizations

artículo científico publicado en 2016

Bandwidth selection for kernel conditional density estimation

Changing of the guard

scholarly article

Characteristic-Based Clustering for Time Series Data

article by Xiaozhe Wang et al published 16 May 2006 in Data Mining and Knowledge Discovery

Coherent mortality forecasting: the product-ratio method with functional time series models

artículo científico publicado en 2013

Computing and Graphing Highest Density Regions

article published in 1996

Cycles and synchrony in the Collared Lemming (Dicrostonyx groenlandicus) in Arctic North America

artículo científico publicado en 2001

Density Forecasting for Long-Term Peak Electricity Demand

Detecting trend and seasonal changes in satellite image time series

scientific article published in 2010

Do human rhinovirus infections and food allergy modify grass pollen-induced asthma hospital admissions in children?

artículo científico publicado en 2015

Do levels of airborne grass pollen influence asthma hospital admissions?

artículo científico publicado en 2007

Dynamic algorithm selection for pareto optimal set approximation

artículo científico publicado en 2016

EXPONENTIAL SMOOTHING AND NON-NEGATIVE DATA

Early classification of spatio-temporal events using partial information

artículo científico publicado en 2020

Editorial

Efficient Identification of the Pareto Optimal Set

artículo científico publicado en 2014

Empirical information criteria for time series forecasting model selection

Encouraging replication and reproducible research

Exploring the influence of short-term temperature patterns on temperature-related mortality: a case-study of Melbourne, Australia

artículo científico publicado en 2016

Exponential smoothing models: Means and variances for lead-time demand

Fast computation of reconciled forecasts for hierarchical and grouped time series

artículo científico publicado en 2016

Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing

article published in 2011

Forecasting age-related changes in breast cancer mortality among white and black US women: a functional data approach

artículo científico publicado en 2010

Forecasting age-specific breast cancer mortality using functional data models

artículo científico publicado en 2007

Forecasting electricity demand in Australian National Electricity Market

Forecasting functional time series

article published in 2009

Forecasting time series with multiple seasonal patterns

article published in 2008

Forecasts of COPD mortality in Australia: 2006-2025.

artículo científico publicado en 2012

Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling

Half-life estimation based on the bias-corrected bootstrap: A highest density region approach

article

Handgun Acquisitions in California After Two Mass Shootings

artículo científico publicado en 2017

Hierarchical forecasts for Australian domestic tourism

article

Hospital characteristics, rather than surgical volume, predict length of stay following colorectal cancer surgery

scientific article published on 16 October 2019

Improved interval estimation of long run response from a dynamic linear model: A highest density region approach

Improved methods for bandwidth selection when estimating ROC curves

article

Investigating the influence of synoptic-scale meteorology on air quality using self-organizing maps and generalized additive modelling

scholarly article by John L. Pearce published in January 2011

Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions

article published in 2006

Measurement of changes in antihypertensive drug utilisation following primary care educational interventions

artículo científico publicado en 2007

Measuring change in prescription drug utilization in Australia

artículo científico publicado en 2006

Method for optimizing coating properties based on an evolutionary algorithm approach

artículo científico publicado en 2011

Mixed Model-Based Hazard Estimation

article

Modelling and forecasting Australian domestic tourism

article

Monitoring processes with changing variances

Nonparametric Estimation and Symmetry Tests for Conditional Density Functions

article published in 2002

Normative data for the Rosner Test of Visual Analysis Skills on an Australian population

artículo científico publicado en 2003

On Sampling Methods for Costly Multi-Objective Black-Box Optimization

artículo científico publicado en 2016

Optimal combination forecasts for hierarchical time series

article published in 2011

Phenological change detection while accounting for abrupt and gradual trends in satellite image time series

article

Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods

Predicting sediment and nutrient concentrations from high-frequency water-quality data

scientific article published on 30 August 2019

Prediction intervals for exponential smoothing using two new classes of state space models

article published in 2005

Quantifying the influence of local meteorology on air quality using generalized additive models

article

Rainbow Plots, Bagplots, and Boxplots for Functional Data

article by Rob J. Hyndman & Han Lin Shang published January 2010 in Journal of Computational and Graphical Statistics

Rejoinder: Forecasting functional time series

Robust forecasting of mortality and fertility rates: A functional data approach

article by Rob J. Hyndman & Md. Shahid Ullah published June 2007 in Computational Statistics & Data Analysis

Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series

Sample Quantiles in Statistical Packages

Sensitivity of the estimated air pollution-respiratory admissions relationship to statistical model choice

artículo científico publicado en 2005

Short-Term Load Forecasting Based on a Semi-Parametric Additive Model

article

Short-term load forecasting using semi-parametric additive models

Smoothing non-Gaussian time series with autoregressive structure

Stochastic models underlying Croston's method for intermittent demand forecasting

Stochastic population forecasts using functional data models for mortality, fertility and migration

article

The admissible parameter space for exponential smoothing models

The interaction between trend and seasonality

The price elasticity of electricity demand in South Australia

article

The tourism forecasting competition

article

The value of feedback in forecasting competitions

article

The vector innovations structural time series framework

article

Tourism forecasting: An introduction

scholarly article by Haiyan Song & Rob J. Hyndman published July 2011 in International Journal of Forecasting

Twenty-five years of forecasting

Unmasking the Theta method

Using R to teach econometrics

Using functional data analysis models to estimate future time trends in age-specific breast cancer mortality for the United States and England-Wales

artículo científico publicado en 2010

Visualising forecasting algorithm performance using time series instance spaces

artículo científico publicado en 2017

Visualizing Big Energy Data: Solutions for This Crucial Component of Data Analysis

scholarly article by Rob J. Hyndman et al published May 2018 in IEEE Power & Energy Magazine

Lista de obras de Rob J. Hyndman

25 Years of IIF Time Series Forecasting: A Selective Review

25 years of time series forecasting

A Bayesian approach to bandwidth selection for multivariate kernel density estimation

A change of editors

A framework for automated anomaly detection in high frequency water-quality data from in situ sensors

A multivariate innovations state space Beveridge–Nelson decomposition

A robust approach for phenological change detection within satellite image time series

A state space framework for automatic forecasting using exponential smoothing methods

Another look at measures of forecast accuracy

Approximations and boundary conditions for continuous-time threshold autoregressive processes

Associations between outdoor fungal spores and childhood and adolescent asthma hospitalizations

Bandwidth selection for kernel conditional density estimation

Changing of the guard

Characteristic-Based Clustering for Time Series Data

Coherent mortality forecasting: the product-ratio method with functional time series models

Computing and Graphing Highest Density Regions

Computing and Graphing Highest Density Regions

Cycles and synchrony in the Collared Lemming (Dicrostonyx groenlandicus) in Arctic North America

Density Forecasting for Long-Term Peak Electricity Demand

Detecting trend and seasonal changes in satellite image time series

Do human rhinovirus infections and food allergy modify grass pollen-induced asthma hospital admissions in children?

Do levels of airborne grass pollen influence asthma hospital admissions?

Dynamic algorithm selection for pareto optimal set approximation

EXPONENTIAL SMOOTHING AND NON-NEGATIVE DATA

Early classification of spatio-temporal events using partial information

Editorial

Efficient Identification of the Pareto Optimal Set

Empirical information criteria for time series forecasting model selection

Encouraging replication and reproducible research

Exploring the influence of short-term temperature patterns on temperature-related mortality: a case-study of Melbourne, Australia

Exponential smoothing models: Means and variances for lead-time demand

Fast computation of reconciled forecasts for hierarchical and grouped time series

Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing

Forecasting age-related changes in breast cancer mortality among white and black US women: a functional data approach

Forecasting age-specific breast cancer mortality using functional data models

Forecasting electricity demand in Australian National Electricity Market

Forecasting functional time series

Forecasting time series with multiple seasonal patterns

Forecasts of COPD mortality in Australia: 2006-2025.

Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling

Half-life estimation based on the bias-corrected bootstrap: A highest density region approach

Handgun Acquisitions in California After Two Mass Shootings

Hierarchical forecasts for Australian domestic tourism

Hospital characteristics, rather than surgical volume, predict length of stay following colorectal cancer surgery

Improved interval estimation of long run response from a dynamic linear model: A highest density region approach

Improved methods for bandwidth selection when estimating ROC curves

Investigating the influence of synoptic-scale meteorology on air quality using self-organizing maps and generalized additive modelling

Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions

Measurement of changes in antihypertensive drug utilisation following primary care educational interventions

Measuring change in prescription drug utilization in Australia

Method for optimizing coating properties based on an evolutionary algorithm approach

Mixed Model-Based Hazard Estimation

Modelling and forecasting Australian domestic tourism

Monitoring processes with changing variances

Nonparametric Estimation and Symmetry Tests for Conditional Density Functions

Normative data for the Rosner Test of Visual Analysis Skills on an Australian population

On Sampling Methods for Costly Multi-Objective Black-Box Optimization

Optimal combination forecasts for hierarchical time series

Phenological change detection while accounting for abrupt and gradual trends in satellite image time series

Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods

Predicting sediment and nutrient concentrations from high-frequency water-quality data

Prediction intervals for exponential smoothing using two new classes of state space models

Quantifying the influence of local meteorology on air quality using generalized additive models

Rainbow Plots, Bagplots, and Boxplots for Functional Data

Rejoinder: Forecasting functional time series

Robust forecasting of mortality and fertility rates: A functional data approach

Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series

Sample Quantiles in Statistical Packages

Sample Quantiles in Statistical Packages

Sensitivity of the estimated air pollution-respiratory admissions relationship to statistical model choice

Short-Term Load Forecasting Based on a Semi-Parametric Additive Model

Short-term load forecasting using semi-parametric additive models

Smoothing non-Gaussian time series with autoregressive structure

Stochastic models underlying Croston's method for intermittent demand forecasting

Stochastic population forecasts using functional data models for mortality, fertility and migration

The admissible parameter space for exponential smoothing models

The interaction between trend and seasonality

The price elasticity of electricity demand in South Australia

The tourism forecasting competition