Nader Ebrahimi

Orcid: 0000-0003-1687-2412

Affiliations:
  • Northern Illinois University, Department of Statistics, DeKalb, USA


According to our database1, Nader Ebrahimi authored at least 34 papers between 1996 and 2022.

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

2022
New approximate Bayesian computation algorithm for censored data.
Comput. Stat., 2022

2021
Improved approximate Bayesian computation methods via empirical likelihood.
Comput. Stat., 2021

2020
MR plot: A big data tool for distinguishing distributions.
Stat. Anal. Data Min., 2020

Probability Link Models with Symmetric Information Divergence.
CoRR, 2020

2019
Mixture Models, Bayes Fisher Information, and Divergence Measures.
IEEE Trans. Inf. Theory, 2019

The alpha-mixture of survival functions.
J. Appl. Probab., 2019

2018
Optimal hazard models based on partial information.
Eur. J. Oper. Res., 2018

2017
Connections of Gini, Fisher, and Shannon by Bayes risk under proportional hazards.
J. Appl. Probab., 2017

2016
Jensen-Shannon information of the coherent system lifetime.
Reliab. Eng. Syst. Saf., 2016

Semiparametric Estimation of a Change-point for Recurrent Events Data.
Commun. Stat. Simul. Comput., 2016

2015
Assessing the reliability of components with micro- and nano-structures when they are part a multi-scale system.
Reliab. Eng. Syst. Saf., 2015

A unified statistical approach to non-negative matrix factorization and probabilistic latent semantic indexing.
Mach. Learn., 2015

A hybrid algorithm for non-negative matrix factorization based on symmetric information divergence.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Comparison, utility, and partition of dependence under absolutely continuous and singular distributions.
J. Multivar. Anal., 2014

2013
Reliability of Sensors Based on Nanowire Networks Operating in a Dynamic Environment.
IEEE Trans. Reliab., 2013

Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model.
J. Stat. Theory Appl., 2013

2012
Predicting the Type of Nanostructure Using Data Mining Techniques and Multinomial Logistic Regression.
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

2011
A semi-parametric generalization of the Cox proportional hazards regression model: Inference and applications.
Comput. Stat. Data Anal., 2011

2010
Assessing 2-Dimensional Nanocomponent's Limiting Reliability.
IEEE Trans. Reliab., 2010

A class of models for uncorrelated random variables.
J. Multivar. Anal., 2010

A Supervised Approach for Predicting Patient Survival with Gene Expression Data.
Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

2009
Bayesian framework for prediction of future number of failures from a single group of units in the field.
Reliab. Eng. Syst. Saf., 2009

Parametric estimation of change-points for actual event data in recurrent events models.
Comput. Stat. Data Anal., 2009

2004
Information properties of order statistics and spacings.
IEEE Trans. Inf. Theory, 2004

2003
Indirect assessment of system reliability.
IEEE Trans. Reliab., 2003

Bayesian Software Reliability Models Based on Martingale Processes.
Technometrics, 2003

Frailty Model and its Application to Seizure Data.
Proceedings of the Advances in Survival Analysis, 2003

2001
Families of distributions characterized by entropy.
IEEE Trans. Inf. Theory, 2001

1999
How to Improve the Calibration of Cost Models.
IEEE Trans. Software Eng., 1999

1998
Information theoretic framework for process control.
Eur. J. Oper. Res., 1998

Estimating the number of undetected errors: Bayesian model selection.
Proceedings of the Ninth International Symposium on Software Reliability Engineering, 1998

1997
On the Statistical Analysis of the Number of Errors Remaining in a Software Design Document after Inspection.
IEEE Trans. Software Eng., 1997

1996
Engineering notion of mean-residual-life and hazard-rate for finite populations with known distributions.
IEEE Trans. Reliab., 1996

How to model reliability-growth when times of design modifications are known.
IEEE Trans. Reliab., 1996


  Loading...