Melbourne's Islamic Museum of Australia: The “White-Washed ‘I’” as an Apollonian Celebration of Liberal Myths

Abstract

This paper examines how the Melbourne's Islamic Museum of Australia tells a story of an “Australian Islam” through its use of material and artistic objects; how it symbolizes and synthesizes the assumed binary of East and West, through spatial expressions that narrate a religious community's “growing up” in a changing urban and Australian context. Furthermore, it looks at how the curators, intentionally or otherwise, deal politically with the Muslim community's affective relationships that are shaped by their experiences as a minority that endures a persistent Islamophobia in the community. By examining the role the Museum's material artefacts play in intercultural relations within a multicultural Australia the paper draws from Nietzsche's The Birth of Tragedy, to argue that the Museum reflects an Apollonian sense of art that attempts to regulate and control the wilder excesses of a Dionysian and communal spirit. The Apollonian view translates to an expressive and abstract celebration of liberal myths about progress and individuality that purposely relegates the more dangerous struggles of Muslim immigrants dealing with the conditions of a Dionysian post-colony to the shadows.     

Nonparametric beta kernel estimator for long and short memory time series

In this article we introduce a nonparametric estimator of the spectral density by smoothing the periodogram using beta kernel density. The estimator is proved to be bounded for short memory data and diverges at the origin for long memory data. The convergence in probability of the relative error and Monte Carlo simulations show that the proposed estimator automatically adapts to the long- and the short-range dependency of the process. A cross-validation procedure is studied in order to select the nuisance parameter of the estimator. Illustrations on historical as well as most recent returns and absolute returns of the S&P500 index show the performance of the beta kernel estimator. The Canadian Journal of Statistics 48: 582–595; 2020 © 2020 Statistical Society of Canada     

On Threshold Choice in Hypothesis Testing for Dynamical Systems with Small Noise

We considered the problem of testing a simple hypothesis against composite one-sided alternative by the continuous time observations of diffusion process with small noise. Moreover, we propose a test which is asymptotically equivalent to the Neyman-Pearson test for local alternatives. The special choice of the threshold allows us to improve the rate of convergence of the first type error to the given value. The calculation of this threshold is based on the stochastic expansion of the test statistics and on the Edgeworth expansion of its distribution function.