3,076 research outputs found
Seeing Isn\u27t Believing: Ahlquist v. City of Cranston and the Constitutionality of Religious Displays Under the Establishment Clause
Law, Economics, and Politics: The Untold History of the Due Process Limitation on Punitive Damages
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The impact of aggressive case management service in reducing the frequencies of acute episodes of the chronically mentally ill
Inferring probabilistic stellar rotation periods using Gaussian processes
Variability in the light curves of spotted, rotating stars is often
non-sinusoidal and quasi-periodic --- spots move on the stellar surface and
have finite lifetimes, causing stellar flux variations to slowly shift in
phase. A strictly periodic sinusoid therefore cannot accurately model a
rotationally modulated stellar light curve. Physical models of stellar surfaces
have many drawbacks preventing effective inference, such as highly degenerate
or high-dimensional parameter spaces. In this work, we test an appropriate
effective model: a Gaussian Process with a quasi-periodic covariance kernel
function. This highly flexible model allows sampling of the posterior
probability density function of the periodic parameter, marginalising over the
other kernel hyperparameters using a Markov Chain Monte Carlo approach. To test
the effectiveness of this method, we infer rotation periods from 333 simulated
stellar light curves, demonstrating that the Gaussian process method produces
periods that are more accurate than both a sine-fitting periodogram and an
autocorrelation function method. We also demonstrate that it works well on real
data, by inferring rotation periods for 275 Kepler stars with previously
measured periods. We provide a table of rotation periods for these 1132 Kepler
objects of interest and their posterior probability density function samples.
Because this method delivers posterior probability density functions, it will
enable hierarchical studies involving stellar rotation, particularly those
involving population modelling, such as inferring stellar ages, obliquities in
exoplanet systems, or characterising star-planet interactions. The code used to
implement this method is available online.Comment: Submitted to MNRAS. Replaced 27/06/2017: corrections made to
koi_periods.cs
The Rowley Enigma: How Much Weight is Due to IDEA State Administrative Proceedings in Federal Court?
In this article, I argue that the phrase due weight incorporates a deferential review standard equivalent to the clear error or substantial evidence standard, a conclusion reached by a minority of the circuit courts of appeal. I further argue that, consistent with Rowley, federal courts must afford due weight to administrative officers\u27 substantive or educational conclusions, but no weight to their procedural or non-educational conclusions. Part II offers a general outline of the IDEA, giving special attention to its judicial review provisions. In Part III, I provide a general discussion of judicial review of administrative adjudication. Part IV is devoted to a discussion of Rowley and the First Circuit\u27s seminal opinion in Town of Burlington v. Dep \u27t of Ed. of Com. Of Mass (Burlington II). Part V discusses the majority and minority approaches adopted by the circuit courts of appeal following Rowley. Part VI recommends a deference standard that is consistent with Rowley and employed by a minority of circuit courts. Part VII offers a brief conclusion
Is a Paid IDEA Tuition Reimbursement Case Moot? The Intersection of Pendency, Tuition Reimbursement, and Mootness
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