Randomized algorithms for statistical image analysis and site percolation on square lattices

We propose a novel probabilistic method for detection of objects in noisy images. The method uses results from percolation and random graph theories. We present an algorithm that allows to detect objects of unknown shapes in the presence of random noise. The noise density is assumed to be unknown and can be very irregular. The algorithm has linear complexity and exponential accuracy, and is appropriate for real‐time systems. We prove results on consistency and algorithmic complexity of our procedure. © 2013 The Authors. Statistica Neerlandica © 2013 VVS.     

Product variety and technical change

Motivated by growth models based on the variety of capital goods, recent empirical studies have established links between productivity and several trade-based measures of product variety, carrying the implication that these measures may represent technology. We study this implication by explicitly proposing the variety of capital goods available for production as a direct measure of the state of technology. Within a simple growth and development framework, we derive a ‘conditional technological convergence’ hypothesis on how this variety should behave if it were indeed to represent the state of technology. The hypothesis is tested with highly disaggregated trade data, using tools from the income convergence literature. The results suggest that a trade-based count measure of the variety of available capital goods, allowing for product differentiation by country of origin, indeed behaves ‘as if’ it represented technology when change of technology is understood as a learning process, and that there is conditional technological convergence among our panel of mainly OECD and transition economies.     

My Understanding on Chinese Business Culture

Ihave been living and working in China for 24 years, which was not a short time for me to learn Chinese business culture and learn how to adapt to this culture.