61 citations · 315 across the 27 of their papers we have counts for
9 papers · 1 filter
Practical Guidance for Bayesian Inference in Astronomy
Gwendolyn M. Eadie, Joshua S. Speagle, Jessi Cisewski-Kehe +5
In the last two decades, Bayesian inference has become commonplace in astronomy. At the same time, the choice of algorithms, terminology, notation, and interpretation of Bayesian i…
Differentiating small-scale subhalo distributions in CDM and WDM models using persistent homology
Jessi Cisewski-Kehe, Brittany Terese Fasy, Wojciech Hellwing +3
The spatial distribution of galaxies at sufficiently small scales will encode information about the identity of the dark matter. We develop a novel description of the halo distribu…
Trend Filtering -- II. Denoising Astronomical Signals with Varying Degrees of Smoothness
Collin A. Politsch, Jessi Cisewski-Kehe, Rupert A. C. Croft +1
Trend filtering---first introduced into the astronomical literature in Paper I of this series---is a state-of-the-art statistical tool for denoising one-dimensional signals that po…
Realizing the potential of astrostatistics and astroinformatics
Gwendolyn Eadie, Thomas J. Loredo, Ashish A. Mahabal +12
This Astro2020 State of the Profession Consideration White Paper highlights the growth of astrostatistics and astroinformatics in astronomy, identifies key issues hampering the mat…
Trend Filtering -- I. A Modern Statistical Tool for Time-Domain Astronomy and Astronomical Spectroscopy
Collin A. Politsch, Jessi Cisewski-Kehe, Rupert A. C. Croft +1
The problem of denoising a one-dimensional signal possessing varying degrees of smoothness is ubiquitous in time-domain astronomy and astronomical spectroscopy. For example, in the…
A Preferential Attachment Model for the Stellar Initial Mass Function
Jessi Cisewski-Kehe, Grant Weller, Chad Schafer
Accurate specification of a likelihood function is becoming increasingly difficult in many inference problems in astronomy. As sample sizes resulting from astronomical surveys cont…
Modeling the Echelle Spectra Continuum with Alpha Shapes and Local Regression Fitting
Xin Xu, Jessi Cisewski-Kehe, Allen B. Davis +2
Continuum normalization of echelle spectra is an important data analysis step that is difficult to automate. Polynomial fitting requires a reasonably high order model to follow the…
Astro2020 Science White Paper: The Next Decade of Astroinformatics and Astrostatistics
A. Siemiginowska, G. Eadie, I. Czekala +49
Over the past century, major advances in astronomy and astrophysics have been largely driven by improvements in instrumentation and data collection. With the amassing of high quali…
The Role of Machine Learning in the Next Decade of Cosmology
Michelle Ntampaka, Camille Avestruz, Steven Boada +27
In recent years, machine learning (ML) methods have remarkably improved how cosmologists can interpret data. The next decade will bring new opportunities for data-driven cosmologic…