11,977 research outputs found
What is the best management for patients with evidence of asymptomatic ischemia on exercise stress testing?
Patients with intermediate- or high-risk Duke Treadmill Score (DTS) on exercise stress testing (EST) should undergo myocardial perfusion imaging or exercise echocardiography, especially if they have abnormal values of Chronotropic Index or post-EST Heart Rate Recovery. For patients who have a low-risk DTS, the 4-year mortality is less than 1% to 2%; therefore, risk-factor reduction without further investigation is appropriate (strength of recommendation: B, based on cohort studies and consensus guideline)
Automatic estimation of flux distributions of astrophysical source populations
In astrophysics a common goal is to infer the flux distribution of
populations of scientifically interesting objects such as pulsars or
supernovae. In practice, inference for the flux distribution is often conducted
using the cumulative distribution of the number of sources detected at a given
sensitivity. The resulting "-" relationship can be used to
compare and evaluate theoretical models for source populations and their
evolution. Under restrictive assumptions the relationship should be linear. In
practice, however, when simple theoretical models fail, it is common for
astrophysicists to use prespecified piecewise linear models. This paper
proposes a methodology for estimating both the number and locations of
"breakpoints" in astrophysical source populations that extends beyond existing
work in this field. An important component of the proposed methodology is a new
interwoven EM algorithm that computes parameter estimates. It is shown that in
simple settings such estimates are asymptotically consistent despite the
complex nature of the parameter space. Through simulation studies it is
demonstrated that the proposed methodology is capable of accurately detecting
structural breaks in a variety of parameter configurations. This paper
concludes with an application of our methodology to the Chandra Deep Field
North (CDFN) data set.Comment: Published in at http://dx.doi.org/10.1214/14-AOAS750 the Annals of
Applied Statistics (http://www.imstat.org/aoas/) by the Institute of
Mathematical Statistics (http://www.imstat.org
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Formation of the resonant system HD 60532
Among multi-planet planetary systems there are a large fraction of resonant
systems. Studying the dynamics and formation of these systems can provide
valuable informations on processes taking place in protoplanetary disks where
the planets are thought have been formed. The recently discovered resonant
system HD 60532 is the only confirmed case, in which the central star hosts a
pair of giant planets in 3:1 mean motion resonance. We intend to provide a
physical scenario for the formation of HD 60532, which is consistent with the
orbital solutions derived from the radial velocity measurements. Observations
indicate that the system is in an antisymmetric configuration, while previous
theoretical investigations indicate an asymmetric equilibrium state. The paper
aims at answering this discrepancy as well. We performed two-dimensional
hydrodynamical simulations of thin disks with an embedded pair of massive
planets. Additionally, migration and resonant capture are studied by
gravitational N-body simulations that apply properly parametrized
non-conservative forces. Our simulations suggest that the capture into the 3:1
mean motion resonance takes place only for higher planetary masses, thus
favouring orbital solutions having relatively smaller inclination i=20 degrees.
The system formed by numerical simulations qualitatively show the same
behaviour as HD 60532. We also find that the presence of an inner disk (between
the inner planet and the star) plays a very important role in determining the
final configurations of resonant planetary systems. Its damping effect on the
inner planet's eccentricity is responsible for the observed antisymmetric state
of HD 60532.Comment: 7 pages, 7 figures, Accepted for publication in Astronomy &
Astrophysic
A Frequentist Approach to Computer Model Calibration
This paper considers the computer model calibration problem and provides a
general frequentist solution. Under the proposed framework, the data model is
semi-parametric with a nonparametric discrepancy function which accounts for
any discrepancy between the physical reality and the computer model. In an
attempt to solve a fundamentally important (but often ignored) identifiability
issue between the computer model parameters and the discrepancy function, this
paper proposes a new and identifiable parametrization of the calibration
problem. It also develops a two-step procedure for estimating all the relevant
quantities under the new parameterization. This estimation procedure is shown
to enjoy excellent rates of convergence and can be straightforwardly
implemented with existing software. For uncertainty quantification,
bootstrapping is adopted to construct confidence regions for the quantities of
interest. The practical performance of the proposed methodology is illustrated
through simulation examples and an application to a computational fluid
dynamics model.Comment: 21 pages, 2 figure
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