collaborators

6 papers

stat.ME2026

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…

astro-ph.IM2024

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…

astro-ph.SR2024

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…

astro-ph.SR2024

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…

astro-ph.IM2024

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…

astro-ph.CO2024

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…