Adriano K. Suzuki

Orcid: 0000-0002-4256-4694

According to our database1, Adriano K. Suzuki authored at least 14 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Construction of New Bivariate Semilinear Copulas Based on the Ali-Mikhail-Haq, Farlie-Gumbel-Morgenstern and Plackett Families.
Adv. Data Sci. Adapt. Anal., 2024

2022
A multivariate survival model induced by discrete frailty.
Commun. Stat. Simul. Comput., 2022

2021
On three-parameter exponential distribution: properties, Bayesian and non-Bayesian estimation based on complete and censored samples.
Commun. Stat. Simul. Comput., 2021

A New Class of Cure Rate Survival Models: Properties, Inference and Applications.
Adv. Data Sci. Adapt. Anal., 2021

Determining the Probability Distribution of Execution Times.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

2020
Power series cure rate model for spatially correlated interval-censored data based on generalized extreme value distribution.
J. Comput. Appl. Math., 2020

Bayesian superposition of pure-birth destructive cure processes for tumor latency.
Commun. Stat. Simul. Comput., 2020

2019
The odd Lomax generator of distributions: Properties, estimation and applications.
J. Comput. Appl. Math., 2019

An Integrated Approach for Making Inference on the Number of Clusters in a Mixture Model.
Entropy, 2019

The Odd Log-Logistic Geometric Normal Regression Model with Applications.
Adv. Data Sci. Adapt. Anal., 2019

Semi-Parametric Cure Rate Proportional Odds Models with Spatial Frailties for Interval-Censored Data.
Adv. Data Sci. Adapt. Anal., 2019

D-Measure: A Bayesian Model Selection Criterion for Survival Data.
Adv. Data Sci. Adapt. Anal., 2019

2018
Bayesian Computational Methods for Sampling from the Posterior Distribution of a Bivariate Survival Model, Based on AMH Copula in the Presence of Right-Censored Data.
Entropy, 2018

2010
A Bayesian approach for predicting match outcomes: The 2006 (Association) Football World Cup.
J. Oper. Res. Soc., 2010


  Loading...