Malgorzata M. O'Reilly

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The presence of clinically detectable areas of decalcification (observable as whitened areas) following the removal of orthodontic appliances is well recognized. The aim of the present study was to determine quantitatively the amount of demineralization and the ability of commercially available products to inhibit or reverse orthodontically related(More)
Stochastic fluid models (SFMs) are stochastic models with a two dimensional state-space, consisting of a continuous level variable X(t) and a finite phase variable φ(t) ∈ S, where S is some finite set. The phase variable φ(t) is often used to describe the state of the environment at time t. The model assumes that the transitions between phases occur(More)
The paper considers the detection of beetle infestations in North American pine forests using high temporal resolution, coarse spatial resolution MODIS remotely sensed satellite images. Two methods are proposed to detect beetle infestation, both applying a triply modulated cosine model. The first method uses an Extended Kalman Filter (EKF) for estimating(More)
To improve statistical approaches for near real-time land cover change detection in nonGaussian time-series data, we propose a supervised land cover change detection framework in which a MODIS NDVI time series is modeled as a triply modulated cosine function using the extended Kalman filter and the trend parameter of the triply modulated cosine function is(More)
OBJECTIVE To determine the correlation between quantitative measurements of antepartum uterine activity and cervical change twin gestations. METHODS Forty women from our Twin Clinic constituted the study group. Participants had a cervical examination each week between 20 and 37 weeks gestation and a cervical score (CS) was calculated as follows: CS =(More)
We introduce loss rates, a novel class of performance measures for Markovian stochastic fluid models and discuss their applications potential. We derive analytical expressions for loss rates and describe efficient methods for their evaluation. Further, we study interesting asymptotic properties of loss rates for large size of the buffer, which are crucial(More)
Suppose that {(φ(t), X(t), Y (t)), t ≥ 0} is a stochastic model driven by a continuous-time Markov Chain {φ(t), t ≥ 0} with a finite, irreducible state space S and generator T. First, we assume that {(φ(t), X(t)), t ≥ 0} is an unbounded stochastic fluid model, with X(t) ∈ (−∞,+∞) and rates ci such that for all i ∈ S, ci is a constant that can be positive,(More)