Publications

(2019). Logistic regression models for aggregated data. Submitted.

Preprint DOI

(2019). Composite likelihood methods for histogram-valued random variables. Submitted.

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(2019). High-dimensional inference using the extremal skew-t process. Submitted.

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(2019). New models for symbolic data analysis. Submitted.

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(2019). Estimation and uncertainty quantification for extreme quantile regions. In Extremes.

Preprint Code DOI

(2019). Constructing likelihood functions for interval-valued random variables. In Scandinavian Journal of Statistics.

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(2019). Extremal properties of the multivariate extended skew-normal distribution, Part B. In Statistics and Probability Letters.

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(2019). Extremal properties of the univariate extended skew-normal distribution, Part A. In Statistics and Probability Letters.

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(2019). Tail density estimation for exploratory data analysis using kernel methods. In Journal of Nonparametric Statistics.

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(2017). Models for Extremal Dependence Derived from Skew-symmetric Families. In Scandinavian Journal of Statistics.

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(2015). Extreme Dependence Models. In Extreme Value Modelling and Risk Analysis: Methods and Applications. Eds. D. Dey and J. Yan. Chapman & Hall/CRC Press.

Preprint PDF

Recent & Upcoming Talks

The ever increasing speed at which technological innovations appear in our day to day life has led to a data-centric era. Huge amounts …
Oct 22, 2019 2:00 PM Sydney, Australia
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Symbolic data analysis (SDA) is an emerging area of statistics based on aggregating individual level data into group-based …
Feb 28, 2019 2:00 PM Canberra, Australia
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Environmental phenomena are spatial processes by nature as a single extreme event (heat waves, floods, storms, etc.) often has …
Dec 14, 2018 5:15 PM Pisa, Italy
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Symbolic data analysis (SDA) is an underdeveloped statistical method in which the individual ‘data points’ for analysis are …
Oct 4, 2017 2:00 PM Melbourne, Australia
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The analysis of Spatial Extremes has been given a growing interest over the last decade in a broad range of areas and especially in …
Jun 26, 2017 2:00 PM Delft, Netherlands
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Teaching

Taught courses:

Tutorials:

Experience

 
 
 
 
 

Lecturer

UNSW Sydney

January 2020 – Present Sydney, Australia
 
 
 
 
 

Research Associate

UNSW Sydney

February 2016 – December 2019 Sydney, Australia
 
 
 
 
 

PhD Student

University Pierre and Marie Curie, Paris 6 UNSW Sydney

February 2012 – January 2016 Paris / Sydney
PhD (cotuelle) supervised by Prof. Michel Broniatowski and Prof Scott Sisson. Co-supervised by Dr. Simone Padoan

Supervision

PhD students:

  • Current

    • Thomas Whitaker [UNSW], Feb 2016. Jointly supervised with Scott Sisson.
    • Prosha Rahman [UNSW], Jun 2019. Jointly supervised with Scott Sisson.

Master/Honours students:

  • Current

    • Max Fisher [Honours, UNSW], 2019. Jointly supervised with Scott Sisson.
    • Lewis Wright [Honours, UNSW], 2019. Jointly supervised with Scott Sisson.
    • Bowen Wang [Master, UNSW], 2019. Jointly supervised with Scott Sisson.

  • Past

    • Yangfan (Fiona) Xu [Master, UNSW], On the extremes of extended skew-normal random variables, Semester 2, 2017. Jointly supervised with Scott Sisson.

Awards

Outreach Participation Award

ARC Centre of Excellence for Mathematical and Statistical Frontiers Nov 2019
Involvement in the `Work experience in Data Science’ program between 2017 and 2019.

J.B Douglas Award

Statistical Society of Australia, New South Wales Branch Nov 2014
Excellence in postgraduate research

Grants

Research Support Scheme (RSS)

ARC Centre of Excellence for Mathematical and Statistical Frontiers Feb 2018
Received $7,600 to setup a collaboration with Alec Stephenson (CSIRO, Data61)

Contact