Important Dates for ECSSC 2021
Welcome to the Early Career & Student Statisticians Conference 2021! We look forward to seeing you this year with our presentations and workshops. Please check the important dates as below:Read More
Conference ScheduleFor detailed schedule please find from https://docs.google.com/spreadsheets/d/11soDs5ebkngW-H8kDvP2_y4cQCKzj14lJ62Vdku4Cyw/edit?usp=sharing.
It’s the end of the work week, but not quite the end of our conference. Unwind and join us in watching Moneyball, a film about using the power of statistics to gain the advantage in baseball. We’ll be using the platform Scener where we can all watch along and chat together. BYO popcorn! Please view the Scener […]
Speaker: Anqi Fu Optimisation plays an important role in fitting many statistical models. In this workshop, Dr Anqi Fu will introduce convex optimization using examples from ordinary least squares and penalized regression. This will be followed by a high-level description of CVXR, how it differs from other packages, and a discussion of the domain specific language that CVXR implements. We will […]
Speaker: Assistant Professor Chul Moon As modern data applications become complex in size and structure, identifying the underlying shape and structure has become of fundamental importance. The classical approaches such as dimension reduction are challenging for handling these applications. Topological data analysis (TDA) is a rapidly developing collection of methods that focuses on the “shape” of data. […]
Data visualisation can reveal exposure misclassification in case-crossover studies of medication safety Speaker: Michael James Leach (20 min) Understanding the role of causal inference from observational datasets in developing government policy Speaker: Elena Tartaglia (20 min) Social media intervention for raising awareness of cardiovascular diseases in the female population of Australia Speaker: Atousa Ghahramani (5 min) […]
In 2009 the pseudononymous Satoshi Nakamoto published a short paper on the Internet, together with accompanying software, that proposed an `electronic equivalent of cash’ called Bitcoin. At its most basic level, Bitcoin is a payment system where transactions are verified and stored in a distributed data structure called the blockchain. The Bitcoin system allows electronic […]
On the Estimation of the Resource Selection Probability Functions from Presence Background Data Speaker: Chathuri Lakshika Samarasekara (20 min) Comparison of Spatial Models for Analysing On-farm Strip Experiments based on Geographically-Weighted Regression and Kriging Speaker: Shih Ching Fu (20 min) Multivariate Spatial-Dependence Modelling of Satellite Data Speaker: Josh Jacobson (5 min) Exploiting scientific publication trends for […]
When designing auto-classification systems we often trust standard metrics in-built in Machine Learning models. How much do you trust them? Or in other words, to which extent do these scores reflect the success of your algorithm? Knowing your data, the decisions that your model will influence, and the role that scoring plays in enhancing or […]
Penalised Quasi-Likelihood Asymptotics in Generalised Linear Mixed Models Speaker: Xu Ning (20 min) Estimation of the Cure Rate for Distributions in the Gumbel Maximum Domain of Attraction Under Insufficient Follow-up Speaker: Muzhi Zhao (20 min) A new two-parameter distribution: Properties, Regression Modelling and Applications to COVID 19 data Speaker: Phillip Oluwatobi Awodutire (5 min) Joint Mean and […]
Join us for our virtual conference dinner. Attendees will move through tables at regular intervals, meeting a new group of delegates every time. Haven’t used your Menulog voucher yet? Why not order something to eat (or drink) to get that true conference feel.
Bayesian inference has been increasingly used in statistics and related areas as a principled and convenient tool for reasoning with uncertainty. Bayesian computation is often a challenging task and modern applications of Bayesian inference, such as Bayesian deep learning, have been called for more scalable Bayesian computation techniques. In this talk, we will give a […]
Lessons learned from the development and implementation of a Bayesian MIMIC model to predict hearing aid benefit Speaker: David Allen (20 min) Bayesian Within-host Modelling of Red Blood Cell Dynamics and Primaquine-induced Haemolysis in G6PD Deficiency Speaker: Parinaz Mehipour (20 min) Sport-related Eye Trauma Study (SETS): Five-year audit of sports-related eye injuries at a tertiary eye […]
Enjoy an evening of trivia with a twist. Come along to the games night and form a team with your new found colleagues to answer a series of questions and puzzles. Not only will the winnings have bragging rights, there will be prizes. Points will be awarded to the best team name, so start thinking […]
Enhancing Markov-chain spatial simulation with web mapping technology Speaker: Chun Fung Kwok (20 min) Manifold Learning with Approximate Nearest Neighbors Speaker: Fan Cheng (20 min) Deep learning for glycaemic control in the ICU Speaker: Oisin Fitzgerald (5 min) Modelling of Anisotropic Spatial Random Fields Using Mixture Copulas Speaker: Mohomed Amsar Mohomed Abraj (5 min) Comparing statistical methods […]
The art and science of applying machine learning techniques inside a for profit company is a world away from pursuing algorithm improvement and fundamental in a research setting. I will talk about the end to end process of building smart products within a SaaS company today.
Educational survey assessments are used in measuring and monitoring learning and educational progress for youth as a group, rather than as individuals. This talk offers an overview of how practitioners applying methodologies in statistics, psychometrics and data analytics in the design of educational survey assessments, as well as in the estimation of group scores nationally […]