Víctor Leiva

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 40

Top Topics

Machine Learning

Regression Model

Solving Optimization Problems

Normal Distribution

Top Venues

J. Multivar. Anal.

Publications

Cecilia Castro, Víctor Leiva, Diego Garrido, Mauricio Huerta, Vinicius Minatogawa
Blockchain in clinical trials: Bibliometric and network studies of applications, challenges, and future prospects based on data analytics. Comput. Methods Programs Biomed. 255 (2024)
Catarina Almeida, Cecilia Castro, Víctor Leiva, Ana Cristina Braga, Ana Freitas
Optimizing Sentiment Analysis Models for Customer Support: Methodology and Case Study in the Portuguese Retail Sector. J. Theor. Appl. Electron. Commer. Res. 19 (2) (2024)
Muhammad Azeem Akbar, Víctor Leiva
A new taxonomy of global software development best practices using prioritization based on a fuzzy system. J. Softw. Evol. Process. 36 (3) (2024)
Helton Saulo, Roberto Vila, Shayane S. Cordeiro, Víctor Leiva
Bivariate symmetric Heckman models and their characterization. J. Multivar. Anal. 193 (2023)
Raydonal Ospina, Samuel G. F. Baltazar, Víctor Leiva, Jorge I. Figueroa-Zúñiga, Cecilia Castro
Robust Semi-Parametric Inference for Two-Stage Production Models: A Beta Regression Approach. Symmetry 15 (7) (2023)
Muhammad Zia Ur Rahman, Muhammad Azeem Akbar, Víctor Leiva, Abdullah Tahir, Muhammad Tanveer Riaz, Carlos Martín-Barreiro
An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients. Comput. Biol. Medicine 154 (2023)
Ramón Giraldo, Víctor Leiva, George Christakos
Leverage and Cook distance in regression with geostatistical data: methodology, simulation, and applications related to geographical information. Int. J. Geogr. Inf. Sci. 37 (3) (2023)
Víctor Leiva, Rafael A. dos Santos, Helton Saulo, Carolina Marchant, Yuhlong Lio
Bootstrap control charts for quantiles based on log-symmetric distributions with applications to the monitoring of reliability data. Qual. Reliab. Eng. Int. 39 (1) (2023)
Josmar Mazucheli, Mustafa Ç. Korkmaz, André Felipe Berdusco Menezes, Víctor Leiva
The unit generalized half-normal quantile regression model: formulation, estimation, diagnostics, and numerical applications. Soft Comput. 27 (1) (2023)
Carlos Manchini, Raydonal Ospina, Víctor Leiva, Carlos Martín-Barreiro
A new approach to data differential privacy based on regression models under heteroscedasticity with applications to machine learning repository data. Inf. Sci. 627 (2023)
Shuangzhe Liu, Víctor Leiva, Dan Zhuang, Tiefeng Ma, Jorge I. Figueroa-Zúñiga
Matrix differential calculus with applications in the multivariate linear model and its diagnostics. J. Multivar. Anal. 188 (2022)
Hélio M. de Oliveira, Raydonal Ospina, Víctor Leiva, Carlos Martín-Barreiro, Christophe Chesneau
A New Wavelet-Based Privatization Mechanism for Probability Distributions. Sensors 22 (10) (2022)
Maheswari Rangasamy, Christophe Chesneau, Carlos Martín-Barreiro, Víctor Leiva
On a Novel Dynamics of SEIR Epidemic Models with a Potential Application to COVID-19. Symmetry 14 (7) (2022)
Emilio Gómez-Déniz, Víctor Leiva, Enrique Calderín-Ojeda, Christophe Chesneau
A novel claim size distribution based on a Birnbaum-Saunders and gamma mixture capturing extreme values in insurance: estimation, regression, and applications. Comput. Appl. Math. 41 (4) (2022)
Lin Ma, Yi Zhang, Víctor Leiva, Shuangzhe Liu, Tiefeng Ma
A new clustering algorithm based on a radar scanning strategy with applications to machine learning data. Expert Syst. Appl. 191 (2022)
Bernardo Lagos-Álvarez, Nixon Jerez-Lillo, Jean P. Navarrete, Jorge I. Figueroa-Zúñiga, Víctor Leiva
A Type I Generalized Logistic Distribution: Solving Its Estimation Problems with a Bayesian Approach and Numerical Applications Based on Simulated and Engineering Data. Symmetry 14 (4) (2022)
Josmar Mazucheli, Bruna Alves, André Felipe Berdusco Menezes, Víctor Leiva
An overview on parametric quantile regression models and their computational implementation with applications to biomedical problems including COVID-19 data. Comput. Methods Programs Biomed. 221 (2022)
Muhammad Azeem Akbar, Víctor Leiva, Saima Rafi, Syed Furqan Qadri, Sajjad Mahmood, Ahmed Alsanad
Towards roadmap to implement blockchain in healthcare systems based on a maturity model. J. Softw. Evol. Process. 34 (12) (2022)
Manuel Ayala, Hanns de la Fuente Mella, Víctor Leiva, Ana María Vallina-Hernandez
Trade Gravity Models for the Factors Affecting Foreign Trade in the Political-Administrative Regions of Chile. AHFE (15) (2021)
Ahmad Kamal Bin Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad, Víctor Leiva
Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Sensors 21 (23) (2021)
Karime Chahuán-Jiménez, Rolando Rubilar-Torrealba, Hanns de la Fuente Mella, Víctor Leiva
Breakpoint Analysis for the COVID-19 Pandemic and Its Effect on the Stock Markets. Entropy 23 (1) (2021)
Carlos A. Palacios, José A. Reyes-Suárez, Lorena A. Bearzotti, Víctor Leiva, Carolina Marchant
Knowledge Discovery for Higher Education Student Retention Based on Data Mining: Machine Learning Algorithms and Case Study in Chile. Entropy 23 (4) (2021)
Sajjad Amiri Doumari, Hadi Givi, Mohammad Dehghani, Zeinab Montazeri, Víctor Leiva, Josep M. Guerrero
A New Two-Stage Algorithm for Solving Optimization Problems. Entropy 23 (4) (2021)
Fernando Rojas, Víctor Leiva, Mauricio Huerta, Carlos Martín-Barreiro
Lot-Size Models with Uncertain Demand Considering Its Skewness/Kurtosis and Stochastic Programming Applied to Hospital Pharmacy with Sensor-Related COVID-19 Data. Sensors 21 (15) (2021)
Helton Saulo, Rubens Souza, Roberto Vila, Víctor Leiva, Robert G. Aykroyd
Modeling Mortality Based on Pollution and Temperature Using a New Birnbaum-Saunders Autoregressive Moving Average Structure with Regressors and Related-Sensors Data. Sensors 21 (19) (2021)
Josmar Mazucheli, Víctor Leiva, Bruna Alves, André Felipe Berdusco Menezes
A New Quantile Regression for Modeling Bounded Data under a Unit Birnbaum-Saunders Distribution with Applications in Medicine and Politics. Symmetry 13 (4) (2021)
Esam Mahdi, Víctor Leiva, Saed Mara'Beh, Carlos Martin-Barreiro
A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data. Sensors 21 (18) (2021)
Eliardo Costa, Manoel Santos-Neto, Víctor Leiva
Optimal Sample Size for the Birnbaum-Saunders Distribution under Decision Theory with Symmetric and Asymmetric Loss Functions. Symmetry 13 (6) (2021)
Antonio Seijas-Macías, Amílcar Oliveira, Teresa A. Oliveira, Víctor Leiva
Approximating the Distribution of the Product of Two Normally Distributed Random Variables. Symmetry 12 (8) (2020)
Hanns de la Fuente Mella, José Luis Rojas Fuentes, Víctor Leiva
Econometric modeling of productivity and technical efficiency in the Chilean manufacturing industry. Comput. Ind. Eng. 139 (2020)
Guillermo Martínez-Flórez, Víctor Leiva, Emilio Gómez-Déniz, Carolina Marchant
A Family of Skew-Normal Distributions for Modeling Proportions and Rates with Zeros/Ones Excess. Symmetry 12 (9) (2020)
Raúl Fierro, Víctor Leiva, Jean Paul Maidana
Cumulative damage and times of occurrence for a multicomponent system: A discrete time approach. J. Multivar. Anal. 168 (2018)
Víctor Leiva, Fabrizio Ruggeri, Helton Saulo, Juan F. Vivanco
A methodology based on the Birnbaum-Saunders distribution for reliability analysis applied to nano-materials. Reliab. Eng. Syst. Saf. 157 (2017)
Víctor Leiva, Ana Freire
Towards Suicide Prevention: Early Detection of Depression on Social Media. INSCI (2017)
Shuangzhe Liu, Víctor Leiva, Tie-Feng Ma, Alan H. Welsh
Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions. Stat. Methods Appl. 25 (2) (2016)
Carolina Marchant, Víctor Leiva, Francisco José de A. Cysneiros
A Multivariate Log-Linear Model for Birnbaum-Saunders Distributions. IEEE Trans. Reliab. 65 (2) (2016)
Peter Fernandes Wanke, Henrique Ewbank, Víctor Leiva, Fernando Rojas
Inventory management for new products with triangularly distributed demand and lead-time. Comput. Oper. Res. 69 (2016)
Raúl Fierro, Víctor Leiva, Narayanaswamy Balakrishnan
Statistical Inference on a Stochastic Epidemic Model. Commun. Stat. Simul. Comput. 44 (9) (2015)
Víctor Leiva, Mauricio Tejo, Pierre Guiraud, Oliver Schmachtenberg, Patricio Orio, Fernando Marmolejo-Ramos
Modeling neural activity with cumulative damage distributions. Biol. Cybern. 109 (4-5) (2015)
Raúl Fierro, Víctor Leiva, Jesper Møller
The Hawkes Process with Different Exciting Functions and its Asymptotic Behavior. J. Appl. Probab. 52 (1) (2015)
Víctor Leiva, Helton Saulo, Jeremias Leão, Carolina Marchant
A family of autoregressive conditional duration models applied to financial data. Comput. Stat. Data Anal. 79 (2014)
Michelli Barros, Víctor Leiva, Raydonal Ospina, Aline Tsuyuguchi
Goodness-of-Fit Tests for the Birnbaum-Saunders Distribution With Censored Reliability Data. IEEE Trans. Reliab. 63 (2) (2014)
Carolina Marchant, Karine Bertin, Víctor Leiva, Helton Saulo
Generalized Birnbaum-Saunders kernel density estimators and an analysis of financial data. Comput. Stat. Data Anal. 63 (2013)
Cecilia Azevedo, Víctor Leiva, Emilia Athayde, Narayanaswamy Balakrishnan
Shape and change point analyses of the Birnbaum-Saunders-t hazard rate and associated estimation. Comput. Stat. Data Anal. 56 (12) (2012)
Francisco J. Caro-Lopera, Víctor Leiva, Narayanaswamy Balakrishnan
Connection between the Hadamard and matrix products with an application to matrix-variate Birnbaum-Saunders distributions. J. Multivar. Anal. 104 (1) (2012)
Filidor V. Vilca, Lucia Santana, Víctor Leiva, Narayanaswamy Balakrishnan
Estimation of extreme percentiles in Birnbaum-Saunders distributions. Comput. Stat. Data Anal. 55 (4) (2011)
Nabor O. Castillo, Héctor W. Gómez, Víctor Leiva, Antonio Sanhueza
On the Fernández-Steel distribution: Inference and application. Comput. Stat. Data Anal. 55 (11) (2011)
Cristian Villegas, Gilberto A. Paula, Víctor Leiva
Birnbaum-Saunders Mixed Models for Censored Reliability Data Analysis. IEEE Trans. Reliab. 60 (4) (2011)
Michelli Barros, Manuel Galea, Manuel González, Víctor Leiva
Influence diagnostics in the tobit censored response model. Stat. Methods Appl. 19 (3) (2010)
Víctor Leiva, Antonio Sanhueza, Diana M. Kelmansky, Elena J. Martínez
On the glog-normal distribution and its application to the gene expression problem. Comput. Stat. Data Anal. 53 (5) (2009)
Claudia Castro-Kuriss, Diana M. Kelmansky, Víctor Leiva, Elena J. Martínez
A New Goodness-of-Fit Test for Censored Data with an Application in Monitoring Processes. Commun. Stat. Simul. Comput. 38 (6) (2009)
Pierre Guiraud, Víctor Leiva, Raúl Fierro
A Non-Central Version of the Birnbaum-Saunders Distribution for Reliability Analysis. IEEE Trans. Reliab. 58 (1) (2009)
Michelli Barros, Gilberto A. Paula, Víctor Leiva
An R implementation for generalized Birnbaum-Saunders distributions. Comput. Stat. Data Anal. 53 (4) (2009)
Víctor Leiva, Marco Riquelme, Narayanaswamy Balakrishnan, Antonio Sanhueza
Lifetime analysis based on the generalized Birnbaum-Saunders distribution. Comput. Stat. Data Anal. 52 (4) (2008)
Víctor Leiva, Michelli Barros, Gilberto A. Paula, Manuel Galea
Influence diagnostics in log-Birnbaum-Saunders regression models with censored data. Comput. Stat. Data Anal. 51 (12) (2007)
Narayanaswamy Balakrishnan, Víctor Leiva, Jorge López
Acceptance Sampling Plans from Truncated Life Tests Based on the Generalized Birnbaum-Saunders Distribution. Commun. Stat. Simul. Comput. 36 (3) (2007)