Senior Lecturer in Analytics, RMIT University

Dr Haydar Demirhan is a senior lecturer of analytics at RMIT University, Melbourne, Australia.

His research interests are mainly related to Bayesian inference, categorical data analysis, time series analysis, and environmental modelling. Specifically, he is interested in the specification of prior distributions for Bayesian modelling with categorical data.

His main contribution to this area is to introduce the Generalised Multivariate Log-Gamma prior and its use with different complex models.

In the area of environmental modelling, he is particularly interested in the prediction of solar radiation using statistical and artificial intelligence techniques. In this area, he highlighted the impact of the models with multicollinearity problem and introduced promising models for the prediction of horizontal solar radiation that do not suffer from various violations of assumptions including multicollinearity.

In addition to these main areas of research, he has contributions to the areas of extinction modelling, missing value imputation in time series data, cryptographic randomness, and development of research software using R.

Experience

  • –present
    Senior Lecturer in Analytics, RMIT University
  • 2013–2016
    Associate professor, Hacettepe University

Education

  • 2009 
    Hacettepe University, PhD / Statistics

Publications

  • 2020
    Using survival theory models to quantify extinctions, Biological Conservation
  • 2020
    dLagM: An R package for distributed lag models and ARDL bounds testing, PLoS ONE
  • 2020
    Incorporation of expert knowledge in the statistical detection of Diagnosis Related Group misclassification, International Journal of Medical Informatics
  • 2019
    A new rank sensitivity metric for decision support, Statistics and Its Interface
  • 2019
    Bayesian updating to estimate extinction from sequential observation data, Biological Conservation
  • 2019
    Bayesian updating to estimate extinction from sequential observation data, Biological Conservation
  • 2019
    A bagging algorithm for the imputation of missing values in time series, Expert Systems with Applications
  • 2018
    Bayesian logistic regression approaches to predict incorrect DRG assignment, Health Care Management Science
  • 2018
    Inferring about the extinction of a species using certain and uncertain sightings, Journal of Theoretical Biology
  • 2018
    Missing value imputation for short to mid-term horizontal solar irradiance data, Applied Energy
  • 2018
    Weighted inter-rater agreement measures for ordinal outcomes, Communications in Statistics - Simulation and Computation
  • 2018
    A generalized Gumbel distribution and its parameter estimation, Communications in Statistics - Simulation and Computation

Professional Memberships

  • International Society for Bayesian Analysis - ISBA
  • Institute of Mathematical Statistics

Research Areas

  • Statistics (0104)
  • Biostatistics (010402)
  • Applied Statistics (010401)
  • Speciation And Extinction (060311)
  • Artificial Intelligence And Image Processing (0801)
  • Neural, Evolutionary And Fuzzy Computation (080108)
  • Knowledge Representation And Machine Learning (170203)