338 citations · 1.3k across the 43 of their papers we have counts for
47 papers
Combining Multiple Incomplete Astronomical Surveys to Estimate Galaxy Flux Distributions
Maximilian Autenrieth, David A. van Dyk, Vinay Kashyap +3
In astrophysics, the distributions of fluxes or intensities of populations of sources provide insight into the structure and evolution of the universe. We propose a science-driven…
IR extremality and UV softness in string bootstrap
Shi-Lin Wan, Ji-Yang Wang, Shuang-Yong Zhou
Whether string amplitudes can be characterized by extremality within the space of consistent S-matrices is an intriguing question. We address this question within the framework of…
Bayesian Modeling and Prediction of Generalized Contact Matrices
Shozen Dan, David A. van Dyk, Zhi Ling +2
Social contact matrices are essential tools in infectious disease epidemiology as they quantify close-range human contact patterns which directly drive the transmission of airborne…
Six Maxims of Statistical Acumen for Astronomical Data Analysis
Hyungsuk Tak, Yang Chen, Vinay L. Kashyap +4
The production of complex astronomical data is accelerating, especially with newer telescopes producing ever more large-scale surveys. The increased quantity, complexity, and varie…
Separating States in Astronomical Sources Using Hidden Markov Models: With a Case Study of Flaring and Quiescence on EV Lac
Robert Zimmerman, David A. van Dyk, Vinay L. Kashyap +1
We present a new method to distinguish between different states (e.g., high and low, quiescent and flaring) in astronomical sources with count data. The method models the underlyin…
Effect of Systematic Uncertainties on Density and Temperature Estimates in Coronae of Capella
Xixi Yu, Vinay L. Kashyap, Giulio Del Zanna +4
We estimate the coronal density of Capella using the O VII and Fe XVII line systems in the soft X-ray regime that have been observed over the course of the Chandra mission. Our ana…
Joint Deconvolution of Astronomical Images in the Presence of Poisson Noise
Axel Donath, Aneta Siemiginowska, Vinay L. Kashyap +2
We present a new method for joint likelihood deconvolution (Jolideco) of a set of astronomical observations of the same sky region in the presence of Poisson noise. The observation…
Improved Weak Lensing Photometric Redshift Calibration via StratLearn and Hierarchical Modeling
Maximilian Autenrieth, Angus H. Wright, Roberto Trotta +3
Discrepancies between cosmological parameter estimates from cosmic shear surveys and from recent Planck cosmic microwave background measurements challenge the ability of the highly…
How to Incorporate Systematic Effects into Parameter Determination
David van Dyk, Louis Lyons
We describe two different approaches for incorporating systematics into analyses for parameter determination in the physical sciences. We refer to these as the Pragmatic and the Fu…
Identifying diffuse spatial structures in high-energy photon lists
Minjie Fan, Jue Wang, Vinay L. Kashyap +3
Data from high-energy observations are usually obtained as lists of photon events. A common analysis task for such data is to identify whether diffuse emission exists, and to estim…
Concordance: In-flight Calibration of X-ray Telescopes without Absolute References
Herman L. Marshall, Yang Chen, Jeremy J. Drake +7
We describe a process for cross-calibrating the effective areas of X-ray telescopes that observe common targets. The targets are not assumed to be "standard candles" in the classic…
New Constraints on Anisotropic Expansion from Supernovae Type Ia
W. Rahman, R. Trotta, S. S. Boruah +2
We re-examine the contentious question of constraints on anisotropic expansion from Type Ia supernovae (SNIa) in the light of a novel determination of peculiar velocities, which ar…
Stratified Learning: A General-Purpose Statistical Method for Improved Learning under Covariate Shift
Maximilian Autenrieth, David A. van Dyk, Roberto Trotta +1
We propose a simple, statistically principled, and theoretically justified method to improve supervised learning when the training set is not representative, a situation known as c…
Bayesian model selection in additive partial linear models via locally adaptive splines
Seonghyun Jeong, Taeyoung Park, David A. van Dyk
We provide a flexible framework for selecting among a class of additive partial linear models that allows both linear and nonlinear additive components. In practice, it is challeng…
Testing One Hypothesis Multiple Times: The Multidimensional Case
Sara Algeri, David A. van Dyk
The identification of new rare signals in data, the detection of a sudden change in a trend, and the selection of competing models, are among the most challenging problems in stati…
Calibration Concordance for Astronomical Instruments via Multiplicative Shrinkage
Yang Chen, Xiao-Li Meng, Xufei Wang +3
Calibration data are often obtained by observing several well-understood objects simultaneously with multiple instruments, such as satellites for measuring astronomical sources. An…
STACCATO: A Novel Solution to Supernova Photometric Classification with Biased Training Sets
Esben A. Revsbech, Roberto Trotta, David A. van Dyk
We present a new solution to the problem of classifying Type Ia supernovae from their light curves alone given a spectroscopically confirmed but biased training set, circumventing…
A Hierarchical Model for the Ages of Galactic Halo White Dwarfs
Shijing Si, David A. van Dyk, Ted von Hippel +3
In astrophysics, we often aim to estimate one or more parameters for each member object in a population and study the distribution of the fitted parameters across the population. I…
Testing One Hypothesis Multiple times
Sara Algeri, David A. van Dyk
In applied settings, tests of hypothesis where a nuisance parameter is only identifiable under the alternative often reduces into one of Testing One Hypothesis Multiple times (TOHM…
Projected distances to host galaxy reduce SNIa dispersion
R. Hill, H. Shariff, R. Trotta +8
We use multi-band imagery data from the Sloan Digital Sky Survey (SDSS) to measure projected distances of 302 supernova type Ia (SNIa) from the centre of their host galaxies, norma…
A Bayesian Analysis of the Ages of Four Open Clusters
Elizabeth J. Jeffery, Ted von Hippel, David A. van Dyk +4
In this paper we apply a Bayesian technique to determine the best fit of stellar evolution models to find the main sequence turn off age and other cluster parameters of four interm…
Detecting Relativistic X-ray Jets in High-Redshift Quasars
Kathryn McKeough, Aneta Siemiginowska, C. C. Cheung +12
We analyze Chandra X-ray images of a sample of 11 quasars that are known to contain kiloparsec scale radio jets. The sample consists of five high-redshift (z >= 3.6) flat-spectrum…
Bayesian Analysis of Two Stellar Populations in Galactic Globular Clusters III: Analysis of 30 Clusters
R. Wagner-Kaiser, D. C. Stenning, A. Sarajedini +5
We use Cycle 21 Hubble Space Telescope (HST) observations and HST archival ACS Treasury observations of 30 Galactic Globular Clusters to characterize two distinct stellar populatio…
Standardizing Type Ia supernovae using Near Infrared rebrightening time
Hikmatali Shariff, Suhail Dhawan, Xiyun Jiao +3
Accurate standardisation of Type Ia supernovae (SNIa) is instrumental to the usage of SNIa as distance indicators. We analyse a homogeneous sample of 22 low-z SNIa, observed by the…