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Model Selection for Time Series Forecasting: Empirical Analysis of
Different Estimators

v1v2 (latest)

Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators

Neural Processing Letters (NPL), 2021

1 April 2021

Vítor Cerqueira

ArXiv (abs)PDF HTML

Papers citing "Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators"

3 / 3 papers shown

ModelRadar: Aspect-based Forecast Evaluation

ModelRadar: Aspect-based Forecast EvaluationMachine-mediated learning (ML), 2025

Vítor Cerqueira

402

0

0

31 Mar 2025

Forecasting with Deep Learning: Beyond Average of Average of Average
Performance

Forecasting with Deep Learning: Beyond Average of Average of Average Performance

Vítor Cerqueira

206

3

0

24 Jun 2024

Lag Selection for Univariate Time Series Forecasting using Deep
Learning: An Empirical Study

Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical StudyPortuguese Conference on Artificial Intelligence (EPIA), 2024

Vítor Cerqueira

165

9

0

18 May 2024