this paper mainly considers a nonstandard risk model with a constant interest rate‎, ‎where both the claim sizes and the inter-arrival times follow some certain dependence structures‎. ‎when the claim sizes are dominatedly varying-tailed‎, ‎asymptotics for the infinite time ruin probability of the above dependent risk model have been given‎.

The Black-Scholes theory, which is the main subject of this course and its sequel, is based on the Efficient Market Hypothesis, that arbitrages (the term will be defined shortly) do not exist in efficient markets. Although this is never completely true in practice, it is a useful basis for pricing theory, and we shall limit our attention (at least for now) to efficient (that is, arbitrage-free)...

Introduction: Today, with development of various industries, the adverse events originated from explosion and emission of toxic and chemical substances have increased. These events may cause serious environmental problems that threaten human health and safety. Therefore, knowledge about the risk of toxic substances from industrial facilities is essential. Although, chlorine is extensively uti...

This study evaluated whether metformin might reduce esophageal cancer risk. Patients with type 2 diabetes mellitus diagnosed during 1999-2005 were recruited from the reimbursement database of Taiwan's National Health Insurance. Those newly treated with metformin (n = 288013, "ever users of metformin") or other antidiabetic drugs (n = 16216, "never users of metformin") were followed until Decemb...

This paper focuses on the effects of commuting time on sickness insurance utilization by applying a generalized propensity score estimator to a large sample of Swedish employees. We analyse the effect of commuting time both on the probability of using sickness insurance at all and on the probability that an individual on sick leave is on so-called partial sick leave rather than being completely...

In this paper, we present a prototype robotic system that captures, processes and fuses speech, vision and laser-depth data to more accurately interpret and perform simple tasks in a domestic environment. We can never assume that any one of these inputs are completely accurate, but by using a combination, a more accurate interpretation could be found. For each speech, gesture recognition and ob...