# Search Course Outline

### Showing 25 course outlines from 3703 matches

2826

#### STATS 709

: Predictive Modelling
2024 Semester Two (1245)
Predictive modelling forecasts likely future outcomes based on historical and current data. Following an advanced introduction to statistics and data analysis, the course will discuss concepts for modern predictive modelling and machine learning.
Subject: Statistics
Prerequisite: COMPSCI 130, MATHS 108, and 15 points from STATS 101, 108, or equivalent
Restriction: STATS 201, 207, 208, 210, 225, 707, 765
2827

#### STATS 710

: Probability Theory
2024 Semester Two (1245)
Fundamental ideas in probability theory; sigma-fields, laws of large numbers, characteristic functions, the Central Limit Theorem.
Subject: Statistics
Prerequisite: B+ or higher in STATS 225 or 15 points from STATS 310, 320, 325
2828

#### STATS 710

: Probability Theory
2022 Semester Two (1225)
Fundamental ideas in probability theory; sigma-fields, laws of large numbers, characteristic functions, the Central Limit Theorem.
Subject: Statistics
Prerequisite: B+ or higher in STATS 225 or 15 points from STATS 310, 320, 325
2829

#### STATS 710

: Probability Theory
2021 Semester Two (1215)
Fundamental ideas in probability theory; sigma-fields, laws of large numbers, characteristic functions, the Central Limit Theorem.
Subject: Statistics
Prerequisite: B+ or higher in STATS 225 or 15 points from STATS 310, 320, 325
2830

#### STATS 710

: Probability Theory
2020 Semester Two (1205)
Fundamental ideas in probability theory; sigma-fields, laws of large numbers, characteristic functions, the Central Limit Theorem.
Subject: Statistics
Prerequisite: STATS 310, 320 or 325
2831

#### STATS 720

: Stochastic Processes
2024 Semester One (1243)
Stochastic models and their applications. Discrete and continuous-time jump Markov processes. A selection of topics from point processes, renewal theory, Markov decision processes, stochastic networks, inference for stochastic processes, simulation of stochastic processes, and computational methods using R.
Subject: Statistics
Prerequisite: STATS 320 or 325
2832

#### STATS 720

: Stochastic Processes
2023 Semester One (1233)
Continuous-time jump Markov processes. A selection of topics from: point processes, renewal theory, martingales, Brownian motion, Gaussian processes and inference for stochastic processes.
Subject: Statistics
Prerequisite: STATS 320 or 325
2833

#### STATS 720

: Stochastic Processes
2022 Semester One (1223)
Continuous-time jump Markov processes. A selection of topics from: point processes, renewal theory, martingales, Brownian motion, Gaussian processes and inference for stochastic processes.
Subject: Statistics
Prerequisite: STATS 320 or 325
2834

#### STATS 720

: Stochastic Processes
2021 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.
Subject: Statistics
Prerequisite: STATS 320 or 325
2835

#### STATS 720

: Stochastic Processes
2020 Semester One (1203)
Continuous-time jump Markov processes. A selection of topics from: point processes, renewal theory, martingales, Brownian motion, Gaussian processes and inference for stochastic processes.
Subject: Statistics
Prerequisite: STATS 320 or 325
2836

#### STATS 721

: Foundations of Stochastic Processes
2024 Semester Two (1245)
Fundamentals of stochastic processes. Topics include: generating functions, branching processes, Markov chains, and random walks.
Subject: Statistics
Prerequisite: 15 points from STATS 125, 210, 225, 320 with at least a B+ and 15 points from MATHS 208, 250, 253
Restriction: STATS 325
2837

#### STATS 721

: Foundations of Stochastic Processes
2023 Semester Two (1235)
Fundamentals of stochastic processes. Topics include: generating functions, branching processes, Markov chains, and random walks.
Subject: Statistics
Restriction: STATS 325
2838

#### STATS 721

: Foundations of Stochastic Processes
2022 Semester Two (1225)
Fundamentals of stochastic processes. Topics include: generating functions, branching processes, Markov chains, and random walks.
Subject: Statistics
Restriction: STATS 325
2839

#### STATS 721

: Foundations of Stochastic Processes
2021 Semester Two (1215)
Fundamentals of stochastic processes. Topics include: generating functions, branching processes, Markov chains, and random walks.
Subject: Statistics
Restriction: STATS 325
2840

#### STATS 721

: Foundations of Stochastic Processes
2020 Semester Two (1205)
Fundamentals of stochastic processes. Topics include: generating functions, branching processes, Markov chains, and random walks.
Subject: Statistics
Restriction: STATS 325
2841

#### STATS 722

: Foundations of Financial Mathematics
2020 Semester Two (1205)
Fundamentals of financial mathematics. Topics include: mean-variance portfolio theory; options, arbitrage and put-call relationships; introduction of binomial and Black-Scholes option pricing models; compound interest, annuities, capital redemption policies, valuation of securities, sinking funds; varying rates of interest, taxation; duration and immunisation; introduction to life annuities and life insurance mathematics.
Subject: Statistics
Prerequisite: 15 points at Stage II in Statistics or BIOSCI 209, and 15 points at Stage II in Mathematics
Restriction: STATS 370
2842

#### STATS 723

: Stochastic Methods in Finance
2022 Semester One (1223)
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.
Subject: Statistics
Prerequisite: STATS 125 and 370, or 15 points from STATS 210, 225, 325
2843

#### STATS 723

: Stochastic Methods in Finance
2021 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.
Subject: Statistics
Prerequisite: STATS 125 and 370, or 15 points from STATS 210, 225, 325
2844

#### STATS 723

: Stochastic Methods in Finance
2020 Semester One (1203)
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.
Subject: Statistics
Prerequisite: STATS 125 and 370, or 15 points from STATS 210, 225, 325
2845

#### STATS 726

: Time Series
2024 Semester Two (1245)
Stationary processes, modelling and estimation in the time domain, forecasting and spectral analysis.
Subject: Statistics
Prerequisite: STATS 210, and 15 points from STATS 326, 786
2846

#### STATS 726

: Time Series
2023 Semester Two (1235)
Stationary processes, modelling and estimation in the time domain, forecasting and spectral analysis.
Subject: Statistics
Prerequisite: STATS 210, and 320 or 325
2847

#### STATS 726

: Time Series
2022 Semester Two (1225)
Stationary processes, modelling and estimation in the time domain, forecasting and spectral analysis.
Subject: Statistics
Prerequisite: STATS 210, and 320 or 325
2848

#### STATS 726

: Time Series
2021 Semester Two (1215)
Stationary processes, modelling and estimation in the time domain, forecasting and spectral analysis.
Subject: Statistics
Prerequisite: STATS 210, and 320 or 325
2849

#### STATS 726

: Time Series
2020 Semester Two (1205)
Stationary processes, modelling and estimation in the time domain, forecasting and spectral analysis.
Subject: Statistics
No pre-requisites or restrictions
2850

#### STATS 727

: Foundations of Applied Time Series Analysis
2021 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.
Subject: Statistics
Prerequisite: 15 points from BIOSCI 209, ECON 221, STATS 201, 207, 208, 707
Restriction: STATS 326