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13.4.1 Event Engine and Auras and Objects Engine The event engine supports the de nition and evaluation of distributed events. It takes into account the current position of all objects involved in the event. This holds true also for the auras de ned for those events. This evaluation scheme may interfere with the privacy needs of the relevant users. The users are in full control over their data and thus they might have decided to be invisible, that is, nobody may see their current position. From the viewpoint of the event engine, this means that the current position of the user is unknown. In order to allow a proper de nition and evaluation of events, we de ned an event-de nition language based on tri-state logic. 13.4.1.1 De ning and Processing User Events Any user may register with the platform to be noti ed at certain events, say, when he/she or another user reaches a certain location or a certain object. As outlined below, this kind of interaction between the platform and the client utilizes the implemented event management. Often, a running mobile client generates sightings, consisting of information on its identity and its current location. That location information must be reported to the platform,

SAQ 1.4 Consider the symmetrical bending vibration of CO2 , as shown in Figure 1.12. Will this vibration be active in the infrared

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income. Basically, weighting is designed to reduce bias, by making the estimation procedure for known population totals unbiased. Under certain conditions, such as in a random sample in which the data satisfy a well-specified model, weighting may also result in variance reduction. The clearest expression of this view is the wellknown regression estimator, which is an implicit procedure to weight the data. Let v=(X0 X) 1t, then v is the vector of weight components, i.e. the vector of weights wi can be written as w Xv; or wi X

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of conventional quantitative nancial risk management His main contention is that things have got way out of hand when it comes to using mathematical and statistical techniques in the markets Very precise measurements are assigned to risks about which we may truly know very little through the use of complex computations that purport to understand the probability distributions governing the human-driven markets But, most interesting, Rebonato also touches upon how quanty types inside banks, consulting rms, and software companies prefer more complexity to less complexity when it comes to dealing with risk The more dif cult risk taming is made to look, the more indispensable the inputs of those with PhDs in physics, math, and computer science appear.

JNI is a powerful tool. But, like any tool it has some limitations. One major limitation in current JVMs is that making JNI calls can require a fair amount of overhead. This overhead takes the form of time within the method call. For example, while calling a Java method might take 1 millisecond, calling a native method might take 2 milliseconds. The actual times are highly dependent on the virtual machine. But in most cases, the native code is actually inducing a performance cost.

Too many people simply have too many vested (and very material) interests in convincing the rest of us that nancial risk management is exclusively about extremely sophisticated quantitative techniques, which they just happen to uniquely master In other words, the intimidating peddling would go, if you want to control your risks you better hire quants, grant contracts to specialist consultants, and buy the software packages incorporating the latest statistical gizmos As Rebonato says, whether quantitative risk management is a pure or an applied science has ceased to be the relevant debate What it truly has become is big business, with tasty monetary and professional gains for all those purported as experts It seems only logical that the quant lobby would work very hard at trying to perpetuate the notion (now almost conventional wisdom) that nancial risk is about equations and highpowered computational models.

where 0 a m 1, 0 b n 1, 0 m A 1, 0 n B 1. Using the IDFT of size A B, the reconstructed image inside the region R becomes h m M1 ; n N1

In other words, about measurement rst and foremost The problem with all this is that it is expected that many peddlers of the quantitative snake oil would be perfectly aware of the unworldliness of some of the solutions Of their meaninglessness Perhaps even of the danger that they pose (nothing could be more dangerous than operating in the markets under faulty radars, and VaR has already caused more than its share of trouble, essentially helping increase, not tame, risk) By continuing to sell their wares, they would be incurring an intellectual fraud For people endowed with prestigious doctorates from the world s leading universities, and who might have previously dreamed of academic glory and yearned for the pure discovery of knowledge, the moral dilemma may prove taxing They would be corrupting their beloved and sacred scienti c methodologies in the pursuit of material comfort They would be.

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