Paulo C. Rodrigues

Orcid: 0000-0002-1248-9910

Affiliations:
  • New University of Lisbon, Portugal


According to our database1, Paulo C. Rodrigues authored at least 16 papers between 2016 and 2023.

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

Timeline

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Bibliography

2023
Kernel robust singular value decomposition.
Expert Syst. Appl., 2023

2022
Neural Networks for Financial Time Series Forecasting.
Entropy, 2022

2021
Estimation in partial linear model with spline modal function.
Commun. Stat. Simul. Comput., 2021

Prediction intervals for the vector singular spectrum analysis forecasting algorithm in a median-based singular spectrum analysis.
Comput. Math. Methods, 2021

Detection of crossover points in detrended fluctuation analysis: an application to EEG signals of patients with epilepsy.
Bioinform., 2021

2020
The Decomposition and Forecasting of Mutual Investment Funds Using Singular Spectrum Analysis.
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.
Comput. Stat., 2020

A new approach for the vector forecast algorithm in singular spectrum analysis.
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.
Comput. Electron. Agric., 2020

2018
A robust approach to singular spectrum analysis.
Qual. Reliab. Eng. Int., 2018

The benefits of multivariate singular spectrum analysis over the univariate version.
J. Frankl. Inst., 2018

2017
Testing the equality of several linear regression models.
Comput. Stat., 2017

A robust DF-REML framework for variance components estimation in genetic studies.
Bioinform., 2017

2016
Correlation Analysis in Contaminated Data by Singular Spectrum Analysis.
Qual. Reliab. Eng. Int., 2016

Preface.
Commun. Stat. Simul. Comput., 2016

A robust AMMI model for the analysis of genotype-by-environment data.
Bioinform., 2016


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