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Social Implications Of Wearable Computing And Augmediated Reality In Every Day Life (Ieee Symposium On Technology And Society, Istas13), Katina Michael
Social Implications Of Wearable Computing And Augmediated Reality In Every Day Life (Ieee Symposium On Technology And Society, Istas13), Katina Michael
Associate Professor Katina Michael
It was in July 2012 that Steve Mann and I corresponded on the possibility of hosting a conference on wearable computing in Toronto, Canada. Steve had just returned home from a family holiday to France and publicly blogged about an unfortunate incident that had happened to him while away. On 17th July 2012 he posted: “Physical assault by McDonald’s for wearing Digital Eye Glass”. We both knew the timing was right for such an event that was not just a technical engineering or applied orientation on the theme of smart worlds, but an event that would grapple with the dichotomies …
Bayesian Density Forecasting Of Intraday Electricity Prices Using Multivariate Skew T Distributions, Anastasios Panagiotelis, Michael Smith
Bayesian Density Forecasting Of Intraday Electricity Prices Using Multivariate Skew T Distributions, Anastasios Panagiotelis, Michael Smith
Michael Stanley Smith
Electricity spot prices exhibit strong time series properties, including substantial periodicity, both inter-day and intraday serial correlation, heavy tails and skewness. In this paper we capture these characteristics using a first order vector autoregressive model with exogenous effects and a skew t distributed disturbance. The vector is longitudinal, in that it comprises observations on the spot price at intervals during a day. A band two inverse scale matrix is employed for the disturbance, as well as a sparse autoregressive coefficient matrix. This corresponds to a parsimonious dependency structure that directly relates an observation to the two immediately prior, and the …