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Showing 25 course outlines from 722 matches
526
STATS 310
: Introduction to Statistical Inference2021 Semester One (1213)
Estimation, likelihood methods, hypothesis testing, multivariate distributions, linear models.
Prerequisite: STATS 210 or 225, and 15 points from MATHS 208, 250 or equivalent
Restriction: STATS 732
Restriction: STATS 732
527
STATS 320
: Applied Stochastic Modelling2021 Semester One (1213)
Introduction to stochastic modelling, with an emphasis on queues and models used in finance. Behaviour of Poisson processes, queues and continuous time Markov chains will be investigated using theory and simulation.
Prerequisite: 15 points from STATS 125, 210, 225 and 15 points from STATS 201, 207, 208, 220, BIOSCI 209
528
STATS 325
: Stochastic Processes2021 Semester Two (1215)
Introduction to stochastic processes, including generating functions, branching processes, Markov chains, random walks.
Prerequisite: B+ or higher in STATS 125 or B or higher in STATS 210 or 225 or 320, and 15 points from ENGSCI 211, MATHS 208, 250
Restriction: STATS 721
Restriction: STATS 721
529
STATS 326
: Applied Time Series Analysis2021 Semester One (1213)
Components, decompositions, smoothing and filtering, modelling and forecasting. Examples and techniques from a variety of application areas.
Prerequisite: 15 points from BIOSCI 209, ECON 211, STATS 201, 207, 208
Restriction: STATS 727
Restriction: STATS 727
530
STATS 326
: Applied Time Series Analysis2021 Summer School (1210)
Components, decompositions, smoothing and filtering, modelling and forecasting. Examples and techniques from a variety of application areas.
Prerequisite: 15 points from BIOSCI 209, ECON 211, STATS 201, 207, 208
Restriction: STATS 727
Restriction: STATS 727
531
STATS 330
: Statistical Modelling2021 Semester Two (1215)
Application of the generalised linear model and extensions to fit data arising from a range of sources including multiple regression models, logistic regression models, and log-linear models. The graphical exploration of data.
Prerequisite: 15 points from STATS 201, 207, 208, BIOSCI 209
532
STATS 330
: Statistical Modelling2021 Semester One (1213)
Application of the generalised linear model and extensions to fit data arising from a range of sources including multiple regression models, logistic regression models, and log-linear models. The graphical exploration of data.
Prerequisite: 15 points from STATS 201, 207, 208, BIOSCI 209
533
STATS 331
: Introduction to Bayesian Statistics2021 Semester Two (1215)
Introduces Bayesian data analysis using the WinBUGS software package and R. Topics include the Bayesian paradigm, hypothesis testing, point and interval estimates, graphical models, simulation and Bayesian inference, diagnosing MCMC, model checking and selection, ANOVA, regression, GLMs, hierarchical models and time series. Classical and Bayesian methods and interpretations are compared.
Prerequisite: 15 points from STATS 201, 207, 208, BIOSCI 209
534
STATS 369
: Data Science Practice2021 Semester Two (1215)
Modern predictive modelling techniques, with application to realistically large data sets. Case studies will be drawn from business, industrial, and government applications.
Prerequisite: 15 points from BIOSCI 209, ECON 211, STATS 201, 207, 208, and STATS 210 or 225
Restriction: STATS 765
Restriction: STATS 765
535
STATS 380
: Statistical Computing2021 Semester Two (1215)
Statistical programming using the R computing environment. Data structures, numerical computing and graphics.
Prerequisite: 15 points from STATS 201, 207, 208, 220, BIOSCI 209
536
STATS 399
: Capstone: Statistics in Action2021 Semester Two (1215)
Provides opportunities to integrate statistical knowledge and collaborate with others through completion of a group-based project.
Prerequisite: 30 points at Stage III in Statistics
537
STATS 399
: Capstone: Statistics in Action2021 Semester One (1213)
Provides opportunities to integrate statistical knowledge and collaborate with others through completion of a group-based project.
Prerequisite: 30 points at Stage III in Statistics
538
STATS 705
: Topics in Official Statistics2021 Semester Two (1215)
Official statistics, data access, data quality, demographic and health statistics, other social statistics, economic statistics, analysis and presentation, case studies in the use of official statistics.
No pre-requisites or restrictions
539
STATS 707
: Computational Introduction to Statistics2021 Semester One (1213)
An advanced introduction to statistics and data analysis, including testing, estimation, and linear regression.
Prerequisite: 15 points from STATS 101, 108 and 15 points from COMPSCI 101, MATHS 162
Restriction: BIOSCI 209, STATS 201, 207, 208, 210, 225
Restriction: BIOSCI 209, STATS 201, 207, 208, 210, 225
540
STATS 708
: Topics in Statistical Education2021 Semester One (1213)
Covers a wide range of research in statistics education at the school and tertiary level. There will be a consideration of, and an examination of, the issues involved in statistics education in the curriculum, teaching, learning, technology and assessment areas.
No pre-requisites or restrictions
541
STATS 710
: Probability Theory2021 Semester Two (1215)
Fundamental ideas in probability theory; sigma-fields, laws of large numbers, characteristic functions, the Central Limit Theorem.
Prerequisite: B+ or higher in STATS 225 or 15 points from STATS 310, 320, 325
542
STATS 720
: Stochastic Processes2021 Semester One (1213)
Continuous-time jump Markov processes. A selection of topics from: point processes, renewal theory, martingales, Brownian motion, Gaussian processes and inference for stochastic processes.
Prerequisite: STATS 320 or 325
543
STATS 721
: Foundations of Stochastic Processes2021 Semester Two (1215)
Fundamentals of stochastic processes. Topics include: generating functions, branching processes, Markov chains, and random walks.
Restriction: STATS 325
544
STATS 723
: Stochastic Methods in Finance2021 Semester One (1213)
Contingent claims theory in discrete and continuous time. Risk-neutral option pricing, Cox-Ross-Rubinstein and Black-Scholes models, stochastic calculus, hedging and risk management.
Prerequisite: STATS 125 and 370, or 15 points from STATS 210, 225, 325
545
STATS 726
: Time Series2021 Semester Two (1215)
Stationary processes, modelling and estimation in the time domain, forecasting and spectral analysis.
Prerequisite: STATS 210, and 320 or 325
546
STATS 727
: Foundations of Applied Time Series Analysis2021 Semester One (1213)
Fundamentals of applied time series analysis. Topics include: components, decompositions, smoothing and filtering, modelling and forecasting. Examples and techniques from a variety of application areas are presented.
Prerequisite: 15 points from BIOSCI 209, ECON 221, STATS 201, 207, 208, 707
Restriction: STATS 326
Restriction: STATS 326
547
STATS 730
: Statistical Inference2021 Semester Two (1215)
Fundamentals of likelihood-based inference, including sufficiency, conditioning, likelihood principle, statistical paradoxes. Theory and practice of maximum likelihood. Examples covered may include survival analysis, GLM's, nonlinear models, random effects and empirical Bayes models, and quasi-likelihood.
Prerequisite: STATS 310 or 732
548
STATS 731
: Bayesian Inference2021 Semester Two (1215)
A course in practical Bayesian statistical inference covering: the Bayesian approach specification of prior distributions, decision-theoretic foundations, the likelihood principle, asymptotic approximations, simulation methods, Markov Chain Monte Carlo methods, the BUGS and CODA software, model assessment, hierarchical models, application in data analysis.
Prerequisite: STATS 210 or 225
549
STATS 732
: Foundations of Statistical Inference2021 Semester One (1213)
Fundamentals of statistical inference including estimation, hypothesis testing, likelihood methods, multivariate distributions, joint, marginal, and conditional distributions, vector random variables, and an introduction to decision theory and Bayesian inference.
Prerequisite: STATS 210 or 225, and 15 points from MATHS 208, 250
Restriction: STATS 310
Restriction: STATS 310
550
STATS 740
: Sample Surveys2021 Semester Two (1215)
The design, management and analysis of sample surveys. Topics such as the following are studied. Types of Survey. Revision of statistical aspects of sampling. Preparing surveys. Research entry: problem selection, sponsorship and collaboration. Research design: methodology and data collection; Issues of sample design and sample selection. Conducting surveys: Questionnaires and questions; Non-sampling issues; Project management; Maintaining data quality. Concluding surveys: Analysis; Dissemination.
Prerequisite: 15 points from STATS 240, 330, 340, and 15 points from Stage II Mathematics