Dr Shovanur Haque

IMAG1742

Qualification

PhD in Statistics, Queensland University of Technology, 2018.

BSc (Hons) in Statistics, University of Queensland, 2014.

PhD Supervisors

  • Distinguished Professor Kerrie Mengersen (QUT)
  • Associate Professor James McGree (QUT)

Scholarship

Research Training Program (RTP) Stipend

ACEMS (ARC Centre of Excellence for Mathematical & Statistical Frontiers ) top- up scholarship

PhD Project

Title: Assessing the accuracy of record matching algorithms in data linkage

The main focus of the project is to find various techniques to assess the accuracy of record matching algorithms in data linkage. My research work is on assessing the likelihood that records matched from different sources represent the same entity.

Research Interests

  • Probabilistic Record Linkage
  • Markov Chain Monte Carlo
  • Bayesian Statistical Modelling
  • Mixture Models
  • Spatial Data Analysis

Conferences

  • Haque, Shovanur and Mengersen, Kerrie. Assessing record linkage accuracy using similarity weight matrix with Markov Chain based Monte Carlo simulation approach. Bayes on the Beach is a biennial conference, organised by the Bayesian Research & Applications Group (BRAG) in collaboration with ARC Centre of Excellence for Mathematical & Statistical Frontiers  (ACEMS); the Australasian chapter of the International Society for Bayesian Analysis (ISBA); the Statistical Society of Australia, Inc. (SSAI) Bayesian Statistics Section; and Queensland University of Technology (QUT) – Bayes on the Beach, Surfers Paradise, Gold Coast, Australia, 13th-15th November 2017. URL  https://botb2017.files.wordpress.com/2017/11/haque.pdf
  • Haque, Shovanur, Stern, Steven and Mengersen, Kerrie. Assessing the accuracy of individual matched record in record linkages with Markov Chain based Monte Carlo simulation approach. Australian Statistical Conference 2016 in conjunction with the Australasian Data Mining Conference (AusDM) and the 19th Australian Conference on Teaching Statistics (OZCOTS).
  • Haque, Shovanur and Stern, Steven. Assessing the accuracy of record linkages with Markov Chain based simulation approach. The annual conference, 2015, organised by the Bayesian Research & Applications Group (BRAG) in collaboration with ARC Centre of Excellence for Mathematical & Statistical Frontiers  (ACEMS); the Australasian chapter of the International Society for Bayesian Analysis (ISBA); the Statistical Society of Australia, Inc. (SSAI) Bayesian Statistics Section; and Queensland University of Technology (QUT) – Bayes on the Beach, Gold Coast, Australia 7-9 December 2015. URL https://botb2015.files.wordpress.com/2015/07/conference-program-bob-2015-final4.pdf, page 36.
  • Haque, Shovanur, Mengersen, Kerrie, 2019. Bias Estimation and Correction Using Bootstrap Simulation of the Linking Process, accepted for publication in a book of the series Springer Proceedings in Mathematics & Statistics (with ISSN)

Contact Details

Advertisements

7 thoughts on “Dr Shovanur Haque

  1. Pingback: BRAG students and their posters at the Australian Statistical Conference 2016 | Bayesian Research & Applications Group

  2. Pingback: Brag Meeting 19th January 2017 | Bayesian Research & Applications Group

  3. Pingback: Brag Meeting 2nd February 2017 | Bayesian Research & Applications Group

  4. Pingback: Brag Meeting 16th February 2017 | Bayesian Research & Applications Group

  5. Pingback: Brag Meeting 2nd March 2017 | Bayesian Research & Applications Group

  6. Pingback: Brag Meeting 12th October 2017 | Bayesian Research & Applications Group

  7. Pingback: Congratulations Dr Shovanur Haque, Dr Marcela Cespedes and Dr Aleysha Thomas | Bayesian Research & Applications Group

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s