Markov chain Monte Carlo in practice

GL Jones, Q Qin - Annual Review of Statistics and Its Application, 2022 - annualreviews.org
Markov chain Monte Carlo (MCMC) is an essential set of tools for estimating features of
probability distributions commonly encountered in modern applications. For MCMC …

Binary black hole population properties inferred from the first and second observing runs of Advanced LIGO and Advanced Virgo

BP Abbott, R Abbott, TD Abbott… - The Astrophysical …, 2019 - iopscience.iop.org
The second LIGO/Virgo observing run (O2) spanned 9 months between 2016 November
and 2017 August, building on the first, 4-month run (O1) in 2015. The LIGO/Virgo …

Data analysis recipes: Using markov chain monte carlo

DW Hogg, D Foreman-Mackey - The Astrophysical Journal …, 2018 - iopscience.iop.org
Abstract Markov Chain Monte Carlo (MCMC) methods for sampling probability density
functions (combined with abundant computational resources) have transformed the …

The Mass of the Milky Way from the H3 Survey

J Shen, GM Eadie, N Murray, D Zaritsky… - The Astrophysical …, 2022 - iopscience.iop.org
The mass of the Milky Way is a critical quantity that, despite decades of research, remains
uncertain within a factor of two. Until recently, most studies have used dynamical tracers in …

Galaxy And Mass Assembly (GAMA): bulge-disc decomposition of KiDS data in the nearby Universe

S Casura, J Liske, ASG Robotham… - Monthly Notices of …, 2022 - academic.oup.com
We derive single Sérsic fits and bulge-disc decompositions for 13 096 galaxies at redshifts
z< 0.08 in the GAMA II equatorial survey regions in the Kilo-Degree Survey (KiDS) g, r, and i …

Clearing the hurdle: The mass of globular cluster systems as a function of host galaxy mass

GM Eadie, WE Harris, A Springford - The Astrophysical Journal, 2022 - iopscience.iop.org
Current observational evidence suggests that all large galaxies contain globular clusters
(GCs), while the smallest galaxies do not. Over what galaxy mass range does the transition …

[PDF][PDF] Logistic regression.

JM Hilbe - International encyclopedia of statistical science, 2011 - encyclopediaofmath.org
Logistic regression is the most common method used to model binary response data. When
the response is binary, it typically takes the form of 1/0, with 1 generally indicating a success …

Blueprint for nanoscale NMR

I Schwartz, J Rosskopf, S Schmitt, B Tratzmiller… - Scientific reports, 2019 - nature.com
Nitrogen vacancy (NV) centers in diamond have been used as ultrasensitive magnetometers
to perform nuclear magnetic resonance (NMR) spectroscopy of statistically polarized …

[HTML][HTML] A Bayesian approach for predicting food and beverage sales in staff canteens and restaurants

K Posch, C Truden, P Hungerländer, J Pilz - International Journal of …, 2022 - Elsevier
Accurate demand forecasting is one of the key aspects for successfully managing
restaurants and staff canteens. In particular, properly predicting future sales of menu items …

The HERBAL model: A hierarchical errors-in-variables Bayesian lognormal hurdle model for galactic globular cluster populations

SC Berek, GM Eadie, JS Speagle… - The Astrophysical …, 2023 - iopscience.iop.org
Galaxy stellar mass is known to be monotonically related to the size of the galaxy's globular
cluster (GC) population for Milky Way sized and larger galaxies. However, the relation …