Javier Linkolk López-Gonzales

Orcid: 0000-0003-0847-0552

According to our database1, Javier Linkolk López-Gonzales authored at least 14 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A new class of median estimators using auxiliary information under PPS sampling: theoretical properties and empirical evaluation.
Comput. Stat., April, 2026

Machine Learning Models for Predicting Professional Disqualification in Peruvian Association Members.
Data, 2026

2025
Time series forecasting via integrating a filtering method: an application to electricity consumption.
Comput. Stat., December, 2025

A novel hybrid framework for forecasting stock indices based on the nonlinear time series models.
Comput. Stat., November, 2025

A hybrid AI approach for predicting academic performance in RBE students.
Frontiers Artif. Intell., 2025

A Novel Family of CDF Estimators Under PPS Sampling: Computational, Theoretical, and Applied Perspectives.
Axioms, 2025

Daily Crude Oil Prices Forecasting Using a Novel Hybrid Time Series Technique.
IEEE Access, 2025

Performance of Classification Algorithms Under Class Imbalance: Simulation and Real-World Evidence.
IEEE Access, 2025

2024
Modeling and Analysis of Monkeypox Outbreak Using a New Time Series Ensemble Technique.
Axioms, August, 2024

Bayesian Spatio-Temporal Modeling of the Dynamics of COVID-19 Deaths in Peru.
Entropy, June, 2024

Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks.
Entropy, 2024

Electricity Demand Forecasting Using a Novel Time Series Ensemble Technique.
IEEE Access, 2024

A Flat-Hierarchical Approach Based on Machine Learning Model for e-Commerce Product Classification.
IEEE Access, 2024

2020
A Systematic Review of the Application of Maturity Models in Universities.
Inf., 2020


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