Conditioning as disintegration

Conditional probability distributions seem to have a bad reputation when it comes to rigorous treatment of conditioning. Technical arguments are published as manipulations of Radon–Nikodym derivatives, although we all secretly perform heuristic calculations using elementary definitions of conditional probabilities. In print, measurability and averaging properties substitute for intuitive ideas about random variables behaving like constants given particular conditioning information.
One way to engage in rigorous, guilt-free manipulation of conditional distributions is to treat them as disintegrating measures—families of probability measures concentrating on the level sets of a conditioning statistic. In this paper we present a little theory and a range of examples—from EM algorithms and the Neyman factorization, through Bayes theory and marginalization paradoxes—to suggest that disintegrations have both intuitive appeal and the rigor needed for many problems in mathematical statistics.     

Perceptions of facilitators of a keypad‐based group support system

Organizations are using Group Support Systems (GSSs) to improve the quality of group meetings. Keypad‐based GSSs are a widely used form of this technology, yet there has been little research on their use and effects. This paper reports the findings of a survey of facilitators of a particular keypad GSS. Facilitators indicate that keypad technology improves the quality of meetings for a variety of tasks in a range of group settings and cultures. The findings are in general agreement with field studies of workstation‐based systems.     

Bidding for brains: Intellectual property rights and the international migration of knowledge workers

We introduce international mobility of knowledge workers into a model of Nash equilibrium IPR policy choice among countries. We show that governments have incentives to use IPRs in a bidding war for global talent, resulting in Nash equilibrium IPRs that can be too high, rather than too low, from a global welfare perspective. These incentives become stronger as developing countries grow in size and wealth, thus allowing them to prevent the ‘poaching’ of their ‘brains’ by larger, wealthier markets.     

Business strategy, marketing organization culture, and performance

Drawing on configuration theory, we develop and test a model which posits that overall firm performance will be influenced by how well the marketing organization??s cultural orientation (i.e., market, adhocracy, hierarchy, or clan) complements alternative business strategies (i.e., Prospector, Analyzer, Low-Cost Defender, Differentiated Defender) after controlling for other, key firm-level variables. Responses from a sample of senior marketing managers provide partial support for the model and demonstrate that high-performing businesses of one strategy type have a different cultural orientation than high-performing businesses of the other strategy types. And, contrary to previous research, the results of this study show that each of the cultural orientations may play a role in creating superior performance. We conclude with a discussion of the implications for scholars and for managers.     

没有国界的国家馆

在去参加第53届威尼斯艺术双年展开幕式之前的几天,我受邀出席了在意大利北部城市Bergamo的当代美术馆GAMeC举行的国际年轻策展人论坛,今年论坛的主题是"国际策展人的终结?"围绕着像威尼斯双年展、卡塞尔文献展等全球达几十个之多的国际性展览的策展策略和模式进行反思和讨论。讨论之中也不免提到了威尼斯双年展这个一直以一个策展人为主导选择艺术家的大     

Automatic extraction of 1D barcodes from video scans for drone-assisted inventory management in warehousing applications

The widespread use of barcodes has significantly contributed to accurate, efficient and economic inventory management in warehouses and distribution centres. However, its efficiency has always been limited by the primary method of reading barcodes with a handheld laser scanner. Compared with this reading by line-of-sight at close proximity, vision-based barcode reading algorithms can further improve efficiency, particularly if accompanied by automated data collection platforms such as drones. This paper introduces algorithms that are able to automatically extract barcodes from video data, and verifies their feasibility and promise for inventory management in warehousing applications. Three key techniques corresponding to different recognition levels are proposed: For a known barcode region, a Harris corner detector and Hough transform-based algorithm is applied to quickly estimate the angle by which the frame area needs to rotate to orient the bars vertically for information extraction. Then, the idea of exploiting connectivity and geometry property of barcode areas is proposed to directly recognise multiple barcode regions in a single video frame to eliminate reading difficulties resulting from interactive influence of multiple juxtaposed barcodes, and to save computation time by only processing frame areas of interest for valid barcodes. In addition, a histogram difference-based fast extraction strategy is designed to further improve efficiency by reducing duplicate information processing. Finally, the performance of each technique is evaluated by analysing video data from a large logistics warehouse, demonstrating satisfactory performance in inventory management applications.