Paulo C. Rodrigues

According to our database, Paulo C. Rodrigues authored at least 35 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Advanced data analysis with gretl.

A. Talha Yalta, Allin Cottrell, Paulo Canas Rodrigues

Comput. Stat., June, 2026

A new class of median estimators using auxiliary information under PPS sampling: theoretical properties and empirical evaluation.

Salman Shah, Eisa Mahmoudi, Moiz Qureshi, Hasnain Iftikhar, Paulo Canas Rodrigues, Ronny Ivan Gonzales Medina, Javier Linkolk López-Gonzales

Comput. Stat., April, 2026

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

Manuel Pretel Pretel, Yeny Chávez Llempén, Abel Angel Sullon Macalupu, Paulo Canas Rodrigues, Javier Linkolk López-Gonzales, Esteban Tocto-Cano

Data, 2026

A Novel Hybrid Decomposition-Based Wind Speed Prediction Model: Application to Lahore, Pakistan.

Malaika Noor, Hafiza Mamona Nazir, Moiz Qureshi, Hasnain Iftikhar, Paulo Canas Rodrigues, Atef F. Hashem

IEEE Access, 2026

2025

Time series forecasting via integrating a filtering method: an application to electricity consumption.

Felipe Leite Coelho da Silva, Josiane da Silva Cordeiro, Kleyton da Costa, Nemias Saboya, Paulo Canas Rodrigues, Javier Linkolk López-Gonzales

Comput. Stat., December, 2025

A novel hybrid framework for forecasting stock indices based on the nonlinear time series models.

Hasnain Iftikhar, Faridoon Khan, Elías A. Torres Armas, Paulo Canas Rodrigues, Javier Linkolk López-Gonzales

Comput. Stat., November, 2025

Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting.

Mohammad Kazemi, Paulo Canas Rodrigues

Comput. Stat., July, 2025

A Hybrid STL-Based Ensemble Model for PM2.5 Forecasting in Pakistani Cities.

Moiz Qureshi, Atef F. Hashem, Hasnain Iftikhar, Paulo Canas Rodrigues

Symmetry, 2025

Bootstrap prediction intervals for the long short term memory (LSTM) recurrent neural network.

Josué Nguinabé, Rockefeller Rockefeller, Naushad Mamode Khan, Paulo Canas Rodrigues

Expert Syst. Appl., 2025

A robust-weighted AMMI modeling approach with generalized weighting schemes.

Marcelo B. Fonsêca, Vanda M. Lourenço, Paulo C. Rodrigues

Ecol. Informatics, 2025

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

Salman Shah, Eisa Mahmoudi, Hasnain Iftikhar, Paulo Canas Rodrigues, Ronny Ivan Gonzales Medina, Javier Linkolk López-Gonzales

Axioms, 2025

Hybrid Prophet-NAR Model for Short-Term Electricity Load Forecasting.

Winita Sulandari, Yudho Yudhanto, Etik Zukhronah, Isnandar Slamet, Hilman Ferdinandus Pardede, Paulo Canas Rodrigues, Muhammad Hisyam Lee

IEEE Access, 2025

Advancing Economic Forecasting With Hybrid Time Series and Functional Models: Evidence From Electricity Demand Data.

Faheem Jan, Hasnain Iftikhar, Naveed Gul, Paulo Canas Rodrigues, Sahar Shah, Mohd Ziaur Rehman

IEEE Access, 2025

Daily Crude Oil Prices Forecasting Using a Novel Hybrid Time Series Technique.

Hasnain Iftikhar, Moiz Qureshi, Paulo Canas Rodrigues, Muhammad Usman Iftikhar, Javier Linkolk López-Gonzales

IEEE Access, 2025

Performance of Classification Algorithms Under Class Imbalance: Simulation and Real-World Evidence.

Iqra Arshad, Muhammad Umair, Faheem Jan, Hasnain Iftikhar, Paulo Canas Rodrigues, Ronny Ivan Gonzales Medina, Javier Linkolk López-Gonzales

IEEE Access, 2025

2024

Computational econometrics with gretl.

A. Talha Yalta, Allin Cottrell, Paulo C. Rodrigues

Comput. Stat., December, 2024

Bayesian Spatio-Temporal Modeling of the Dynamics of COVID-19 Deaths in Peru.

César Raúl Castro Galarza, Omar Nolberto Díaz Sánchez, Jonatha Sousa Pimentel, Rodrigo Bulhões, Javier Linkolk López-Gonzales, Paulo Canas Rodrigues

Entropy, June, 2024

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

Javier Linkolk López-Gonzales, Rodrigo Salas, Daira Velandia, Paulo Canas Rodrigues

Entropy, 2024

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

Harold Cotacallapa, Nemias Saboya, Paulo Canas Rodrigues, Rodrigo Salas, Javier Linkolk López-Gonzales

IEEE Access, 2024

2023

Kernel robust singular value decomposition.

Eufrásio de Andrade Lima Neto, Paulo C. Rodrigues

Expert Syst. Appl., 2023

2022

Neural Networks for Financial Time Series Forecasting.

Kady Sako, Berthine Nyunga Mpinda, Paulo Canas Rodrigues

Entropy, 2022

2021

Estimation in partial linear model with spline modal function.

Mohammad Kazemi, Davood Shahsavani, Mohammad Arashi, Paulo C. Rodrigues

Commun. Stat. Simul. Comput., 2021

Prediction intervals for the vector singular spectrum analysis forecasting algorithm in a median-based singular spectrum analysis.

Rahim Mahmoudvand, Paulo Canas Rodrigues

Comput. Math. Methods, 2021

Detection of crossover points in detrended fluctuation analysis: an application to EEG signals of patients with epilepsy.

Victor Barreto Mesquita, Florêncio Mendes Oliveira Filho, Paulo Canas Rodrigues

Bioinform., 2021

2020

The Decomposition and Forecasting of Mutual Investment Funds Using Singular Spectrum Analysis.

Paulo Canas Rodrigues, Jonatha Sousa Pimentel, Patrick Messala, Mohammad Kazemi

Entropy, 2020

Comments on: Hierarchical Inference for genome-wide association studies: a view on methodology with software by Paulo C. Rodrigues and Vanda M. Lourenço.

Paulo C. Rodrigues, Vanda M. Lourenço

Comput. Stat., 2020

A new approach for the vector forecast algorithm in singular spectrum analysis.

Paulo Canas Rodrigues, Rahim Mahmoudvand

Commun. Stat. Simul. Comput., 2020

New multiple imputation methods for genotype-by-environment data that combine singular value decomposition and Jackknife resampling or weighting schemes.

Sergio Arciniegas-Alarcón, Marisol García-Peña, Paulo Canas Rodrigues

Comput. Electron. Agric., 2020

2018

A robust approach to singular spectrum analysis.

Paulo Canas Rodrigues, Vanda M. Lourenço, Rahim Mahmoudvand

Qual. Reliab. Eng. Int., 2018

The benefits of multivariate singular spectrum analysis over the univariate version.

Paulo Canas Rodrigues, Rahim Mahmoudvand

J. Frankl. Inst., 2018

2017

Testing the equality of several linear regression models.

Filipe J. Marques, Carlos A. Coelho, Paulo C. Rodrigues

Comput. Stat., 2017

A robust DF-REML framework for variance components estimation in genetic studies.

Vanda M. Lourenço, Paulo C. Rodrigues, Ana M. Pires, Hans-Peter Piepho

Bioinform., 2017

2016

Correlation Analysis in Contaminated Data by Singular Spectrum Analysis.

Paulo C. Rodrigues, Rahim Mahmoudvand

Qual. Reliab. Eng. Int., 2016

Preface.

Paulo C. Rodrigues, Eric B. Laber

Commun. Stat. Simul. Comput., 2016

A robust AMMI model for the analysis of genotype-by-environment data.

Paulo C. Rodrigues, Andreia Monteiro, Vanda M. Lourenço

Bioinform., 2016