Justin Rory Wishart

General Information

Mr Justin Rory Wishart School of Mathematics and Statistics F07 The University of Sydney, NSW 2006 Australia   Office: Carslaw Building Room 807 Phone: +61 2 9114 1283 Fax: +61 2 9351 4534 Email: justin.wishart@sydney.edu.au I am a Research Associate in the School of Mathematics and Statistics at the University of Sydney.

Curriculum Vitae

• Curriculum Vitæ (Updated: August, 2011)

Research Interests

• I am a member of the Statistics Research Group.
• Areas of interest:
• Nonparametric regression
• Random design
• Kernel smoothing
• Wavelets
• Long-range dependence

Publications (with co-author links)

• Wishart, J.R. (2011). Minimax lower bound for kink location estimators in a nonparametric regression model with long-range dependence. Statist. Probab. Lett. (to appear) http://dx.doi.org/10.1016/j.spl.2011.07.019
• Wishart, J and Kulik, R (2010). Kink estimation in stochastic regression with dependent errors and predictors. Electron. J. Statist. 4 875-913. http://dx.doi.org/10.1214/10-EJS571
• Wishart, J. (2009). Kink estimation with correlated noise. J. Korean Statist. Soc. 38 131-143. http://dx.doi.org/10.1016/j.jkss.2008.08.001

Current Teaching

MATH2070/2970
• Graphical Method Exercise - Lecture 3 (Week 1)
• Graphical Method Exercise - Lecture 4 (Week 2)
• Board Notes: Algebraic edge, min/max interchange - Lecture 6 (Week 2 )
• Board Notes: Negative and unrestricted variables - Lecture 7 (Week 3)
• Board Notes: Equality constraints, Unbounded solutions and LP summary - Lecture 8 (Week 3)
• Board Notes: 3-dimensional example with Hessian - Lecture 13 (Week 5)
• Board Notes: 3-dimensional walkthrough with some proofs of the Convex Theorems - Lecture 15 (Week 5)
• Board Notes: Sufficient conditions for Hessian, Quadratic subspace and Bordered Hessian Example - Lectures 18-19 (Weeks 6-7)
• Dual of the Dual is the Primal (Standard LP problems) - Tutorial Question

Recent Teaching History

2011

• Semester 1: Tutor
• STAT1015: Biostatistics
• PHAR1811: Foundations of Pharmacy (Introduction to statistics component)
• PHAR2813: Therapeutic Principles (Statistics Component).
• Summer School: Lecturer - MATH2070 - Optimisation.

2010

• Semester 1: Lecturer
• PHAR1811: Foundations of Pharmacy (Introduction to statistics component).
• Semester 1: Tutor
• STAT3911: Stochastic Processes and Time Series (Advanced)
• MATH1902: Linear Algebra (Advanced)
• PHAR2821: Drug Discovery and Design B (Intro ODE's and Statistical tests).
• Semester 2: Tutor
• STAT3913: Statistical Inference (Advanced)
• STAT2012 : Statistical Tests
• MATH1005: Intro Statistics
• PHAR2821: Drug Discovery and Design B (Intro ODE's and Statistical tests).

2009

• Semester 1: Tutor
• STAT1021: General Statistical Methods.
• STAT2011 : Statistical Models
• Semester 2: Tutor
• STAT3913: Statistical Inference (Advanced)
• STAT2012 : Statistical Tests
• MATH1905: Intro Statistics (Advanced)
• PHAR2821: Drug Discovery and Design B (Intro ODE's and Statistical tests).