FOS Research Newsletter

My Zellner Award is featured in the third FOS Research Newsletter!

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My PhD Project

Regression modelling using priors depending on Fisher information covariance kernels (I-priors)

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Statistical Tables

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UBD Rises in Rank

UBD ranks 254 (world) in the 2021 QS University rankings; 60th in Asia in the 2020 Times HE World University rankings

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UBD Postdoc Scheme

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FOS (Maths) DY Website

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Haziq Jamil

Assistant Professor in Statistics

Mathematical Sciences, Faculty of Science (FOS), Universiti Brunei Darussalam (UBD)

Biography

I am an Assistant Professor in Statistics at Universiti Brunei Darussalam, the leading higher education institution in Brunei. My research interests lie in statistical theory, methods and computation, with a special inclination towards social science applications.

I obtained my PhD in Statistics from the London School of Economics and Political Science (LSE) in October 2018. My PhD project explored the use of Fisher information-dependent priors in a vector space framework for regression, classification, and variable selection. My supervisors were Dr. Wicher Bergsma and Prof. Irini Moustaki. I also obtained an MSc in Statistics from LSE in 2014.

I graduated from Warwick University, completing the 4-year MMORSE degree in 2010. As my final year project, I used Bradley-Terry models applied to English Premier League football data. This project was supervised by Prof. David Firth.

Previously, I was a Research Officer at the Centre of Science & Technology, Research & Development (CSTRAD), Ministry of Defence, Brunei. My primary task was to provide data analysis and decision support to strategic acquisition projects, and assist in statistical analyses for defence-related research.

Interests

Gaussian processes
Variational inference
EM algorithms
Random effects models
Binary and multinomial probit models
Truncated normal distribution
Latent variable models

Education

PhD in Statistics, 2018
London School of Economics and Political Science
MSc in Statistics, 2014
London School of Economics and Political Science
BSc & Master in Mathematics, Statistics, Operational Research and Economics, 2010
University of Warwick

Skills

R

95%

Statistics

95%

Tender Evaluation

75%

Experience

Assistant Professor in Statistics

Universiti Brunei Darussalam (UBD)

Sep 2019 – Present Brunei

Teaching:

CU-0304 Sciences for University Study
SM-1402 Basic Statistics
SM-2401 Geometry
SM-4331 Advanced Statistics
SR-5101 Advanced Research Skills

Appointments:

Discovery Year Advisor (Mathematics, FOS)
Research Associate, Institute of Applied Data Analytics (IADA)

Graduate Teaching Assistant

London School of Economics and Political Science

Jan 2014 – Sep 2018 London

I held various teaching roles ranging from secondary teaching to marking for masters (ST416 Multilevel Modelling, ST421 Development in Statistical Methods) and undergraduate level courses (ST312 Applied Statistics Project) at the LSE. In addition, I also held assistant invigilator and examiner roles for both the LSE and the University of London International Examinations respectively.

Research Officer

Centre for Science and Technology, Research and Development (CSTRAD), Ministry of Defence

Oct 2010 – Sep 2019 Brunei

I provided analytical insight into matters arising from the development and activities of strategic procurement projects for the Royal Brunei Armed Forces (RBAF). This entailed market research, cost-benefit analyses, and writing technical reports. I was a project team member for the procurement and delivery of 12 Sikorsky S-70i helicopters (US$325M), and also the focal point for the development of tender evaluation criteria using the Analytic Hierarchy Process (AHP). After completing my PhD, I conducted various research into defence-related activities.

Honours & Awards

Arnold Zellner Thesis Award in Econometrics and Statistics (honourable mention)

American Statistical Association (Business and Economic Statistics Section) Jun 2020

The Zellner award is given for the best PhD thesis dealing with an applied problem in Business and Economic Statistics. It is intended to recognize outstanding work by promising young researchers in the field.

In-Service Training Scheme Scholarship

Public Service Commission, Prime Minister’s Office, Brunei Oct 2013 – Sep 2018

Supreme Commander of the Royal Brunei Armed Forces Scholarship

Ministry of Defence, Brunei Oct 2006 – Jul 2010

Best Student Award 2005

Persekutuan Guru-Guru Melayu Brunei (PGGMB) Jun 2006

Awarded for excellence in Brunei-Cambridge GCE A Level examinations.

Papers

Artemis Koukounari, Haziq Jamil, Elena Erosheva, Clive Shiff, Irini Moustaki (2020). Latent Class Analysis: Insights about design and analysis of schistosomiasis diagnostic studies. PLOS Neglected Tropical Diseases (to appear).

Project Supplementary Results

Haziq Jamil, Wicher Bergsma (2020). Bayesian variable selection for linear models using I-priors. In: Theoretical, Modelling and Numerical Simulations Toward Industry 4.0, pp. 107–132. Ed. by Samsul Ariffin Abdul Karim. Singapore: Springer. ISBN: 978-981-15-8986-7.

DOI

Haziq Jamil, Ayesha Salleh, Le Thieng Chan (2020). Investigating the effect of load carriage on soldiers’ performances using Bayesian structural equation models. Manuscript in submission.

Wicher Bergsma, Haziq Jamil (2020). Regression modelling with I-priors: Applications to functional, multilevel and longitudinal data. Manuscript in submission.

Project arXiv

Stefan Gӧdeke, Haziq Jamil, Mario Schirmer, Anja Bretzler, Norazanita Shamsuddin, Nur Hakimah Mansor (2020). Increase in iron and manganese due to reducing conditions at a tropical catchment in South East Asia. Manuscript in submission.

Fadzilah Jali, Elvynna Leong, Haziq Jamil (2020). Factors Affecting Readmission to the Drug Rehabilitation Centre in Brunei Darussalam. Manuscript in submission.

Haziq Jamil (2018). Regression modelling using priors depending on Fisher information covariance kernels (I-priors). PhD thesis, LSE.

PDF Project Slides Source Document Errata Ch. 1 Ch. 2 Ch. 3 Ch. 4 Ch. 5 Ch. 6 Ch. 7 Apx. Supp. Data & Code