SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Kaggle forecasting competitions: An overlooked learning opportunity · Study

ArticleShelves

ArticleKaggle forecasting competitions: An overlooked learning opportunity

Casper Solheim Bojer2020

OA

Articlegreen2020

Kaggle forecasting competitions: An overlooked learning opportunity

Casper Solheim Bojer · Jens Peder Meldgaard

266 citations·0/0 files stored·International Journal of Forecasting

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Forecasting Techniques and Applications Stock Market Forecasting Methods Time Series Analysis and Forecasting

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 266 citations exist upstream.

References

2006Another look at measures of forecast accuracy 1969The Combination of Forecasts 2019DeepAR: Probabilistic forecasting with autoregressive recurrent networks 2000The M3-Competition: results, conclusions and implications 2019The M4 Competition: 100,000 time series and 61 forecasting methods 2019A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting 2019Retail forecasting: Research and practice 2019FFORMA: Feature-based forecast model averaging

Cited by

2021The M5 competition: Background, organization, and implementation 2022Statistical, machine learning and deep learning forecasting methods: Comparisons and ways forward 2021Forecasting with trees 2020Comparison of statistical and machine learning methods for daily SKU demand forecasting 2021The M5 uncertainty competition: Results, findings and conclusions 2021Global models for time series forecasting: A Simulation study

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2022Statistical, machine learning and deep learning forecasting methods: Comparisons and ways forwardarticle · 7 shared references 2022Data augmentation for univariate time series forecasting with neural networksarticle · 7 shared references 2020Investigating the accuracy of cross-learning time series forecasting methodsarticle · 7 shared references 2023Simplifying tree-based methods for retail sales forecasting with explanatory variablesarticle · 7 shared references 2019Forecasting in social settings: The state of the artarticle · 6 shared references 2019The value added by machine learning approaches in forecastingarticle · 6 shared references

Details

Year2020

Typearticle

Published2020-09-01

VenueInternational Journal of Forecasting

ISSN-L0169-2070

Languageen

Citations266

Files0 public / 0

ShelfForecasting Techniques and Applications

Identifiers

doi10.1016/j.ijforecast.2020.07.007

openalex_workW3082548640

Links

Imported from OpenAlex (CC0) — nothing here is generated.

2021Web Traffic Time Series Forecasting Using LSTM Neural Networks with Distributed Asynchronous Training

2022Time Series and Regression Methods for Univariate Environmental Forecasting: An Empirical Evaluation