Julian Stander - researchr alias

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Viewing Publication 1 - 10 from 10

2025

Using the Lehmer Mean to Assess Business Data Protection: Statistical Disclosure Control and the Truncated Moment ProblemMark Stander, Julian Stander. tdp, 18(2):95-112, May 2025. [doi]

2010

Bayesian nonparametric quantile regression using splinesPaul Thompson, Yuzhi Cai, Rana Moyeed, Dominic Reeve, Julian Stander. csda, 54(4):1138-1150, 2010. [doi]

2009

A multi-scale template method for shape detection with bio-medical applicationsFrancesco de Pasquale, Julian Stander. paa, 12(2):179-192, 2009. [doi]

2004

A Bayesian Hierarchical Model Approach to Risk Estimation in Statistical Disclosure LimitationSilvia Polettini, Julian Stander. psd 2004: 247-261 [doi]

2003

Spatial and non-spatial model-based protection procedures for the release of business microdataLuisa Franconi, Julian Stander. sac, 13(4):295-305, 2003. [doi]

A comment on A theoretical basis for perturbation methods by Krishnamurty Muralidhar and Rathindra SarathySilvia Polettini, Julian Stander. sac, 13(4):337-338, 2003. [doi]

2002

Over-relaxation methods and coupled Markov chains for Monte Carlo simulationPiero Barone, Giovanni Sebastiani, Julian Stander. sac, 12(1):17-26, 2002. [doi]

Model Based Disclosure ProtectionSilvia Polettini, Luisa Franconi, Julian Stander. icsd 2002: 83-96 [doi]

1998

On shape detection in noisy images with particular reference to ultrasonographyJian'an Luan, Julian Stander, David Wright. sac, 8(4):377-389, 1998. [doi]

1990

The Specification of Edge Penalties for Regular and Irregular Pixel ImagesBernard W. Silverman, Christopher Jennison, Julian Stander, Timothy C. Brown. pami, 12(10):1017-1024, 1990. [doi]

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