... The unified setting, based on the definition of a pre-Hilbert space, successfully gathers the existing detection schemes for continuous-time stochastic dynamical systems [2, 4].. The qu[r] ...
... Abstract The valuation of real assets is a complex problem which influences the strategic decision making in companies, such as decisions to differing or selling a project. Uncertainty takes over the manager when ...
... no continuoustime model are not accurate enough to explain the behavior that describes the pesodollar exchange rate, however, considering some continuoustime models with Poisson jumps is ...
... In a similar way, we perform prediction for the system maintainability when peaked priors are used for the failure and repair rates, based on (7). In Figure 6a, we have plotted system maintainability when the initial OFF ...
... We will consider that both schemes can measure the system state space variables, although Scheme 1 will only employ the second component X2(t) as seen below. When any of the mean estima[r] ...
... The scheme proposed here represents a natural extension of the fault detection method presented in Castillo and Zufiria (2009), by means of applying on the residual several hypothesis [r] ...
... The residual known statistics under the no-fault hypothesis, do change when a fault occurs; hence, these schemes rely on the detection of statistical changes in such residual stochastic[r] ...
... The main differences with the previous literature are: we only model the behavior of the CB and the inflation tax is the only source of financing, the objective of the CB is not to maximize social welfare but to minimize ...
... of continuoustime uncertainty, part IV presents the tools required to work with uncertainty in continuoustime ...with continuoustime uncertainty without having studied ...
... This paper has proposed valuing strategic assets using real option theory making adjustments that allow us to abandon the assumption of normal returns in continuoustime. This technique permits the ...
... In this paper we introduce a financial market model based on continuoustime random motions with alternating constant velocities and with jumps occurring when the velocity switches. If jump directions are ...
... Neural networks have been used in previous research to perform pattern clas- sification in many applications. Specially, we are interested in previous works in gesture recognition [MT91, BBS94, LB00] as some of our ...
... A trajectory set is implicit in a stochastic process model; making trajectory sets a central object of interest is of relevance, in particular, when there is insuffi- cient information to assign a probability ...
... in continuoustime to describe how spatial diffusion processes unfold over time (Schluter et ...in continuous space; in par- ticular, the inferred locations of common ancestors can ...
... with time [7,8,21 – 23], our feedback mechanism allows us to analyze the effect of the VDVs number, since it is kept within narrow ...clogging time diverges and the system is said to be in a clogged state ...
... Remark 2.5. As regards Definitions 2.1, 2.2 and 2.4, we identify the functions which lay in the same set and only differ on a negligible subset of R 1+N . The con- straint about belonging to the same set is crucial. ...
... The paper is organized as follows: In Section 2, we introduce some basic concepts and results in the existing literature related to discrete time Fourier transforms and operator- valued multiplier theorems that ...
... The important variables to measure are the number of steps the system makes to reach the goal during learning that measures the convergences in learning, the action function learned by t[r] ...
... Epicuticular waxes form a continuous layer with a thickness of 0.35 – 0.4 m m. (E) Cuticle of grape berry of 1-cm transversal diameter. The cuticle appears formed by a 2.5- m m thick layer. It is differentiated in ...