The Net Advance of Physics:
BAYESIAN METHODS
BAYESIAN METHODS:
General:
D'Agostini 2003/04;
Topics in statistical data analysis for high-energy physics
by G. Cowan [2009/06]
How to Use Experimental Data to Compute the Probability of Your Theory
by Georgios Choudalakis [2011/10]
Measurement Error Models in Astronomy
by Brandon C. Kelly [2011/06]
Understanding better (some) astronomical data using Bayesian methods
by Stefano Andreon [2011/12]
Frequentism and Bayesianism: A Python-driven Primer
by Jake VanderPlas [2014/11]
Bayesian Statistics in Software Engineering: Practical Guide and Case Studies
by Carlo A. Furia [2016/08]
Three Lectures on Probability and Statistics
by Carlos Mana [2016/10]
To Bayes or not to Bayes? That's no longer the question!
by Ernest Fokoue [2018/05]
Type: QUANTUM:
An Introduction to Quantum Bayesian Networks for Mixed States
by Robert R. Tucci [2012/04]
Re: ASTROPHYSICS:
Bayesian Model Averaging in Astrophysics: A Review
by David Parkinson and Andrew R. Liddle [
Statistical Analysis and Data Mining 6
, 3 (2013)]
Bayesian Coronal Seismology
by Iñigo Arregui [2017/09]
Bayesian Methods for Exoplanet Science
by Hannu Parviainen [2017/11]
Re: BIOSCIENCES:
Approximation and inference methods for stochastic biochemical kinetics - a tutorial review
by David Schnoerr et al. [
Journal of Physics A 50
, 093001 (2017)]
Re: COMPUTER SCIENCE:
Naive Bayes and Text Classification I - Introduction and Theory
by Sebastian Raschka [2014/10]
Bayesian Statistics in Software Engineering: Practical Guide and Case Studies
by Carlo A. Furia [2016/08]
Re:
COSMOLOGY:
Bayes in the sky: Bayesian inference and model selection in cosmology
by Roberto Trotta [2008/03]
Bayesian Methods in Cosmology
by Roberto Trotta [2014/03]
Re: FISHER INFORMATION:
A Tutorial on Fisher Information
by Alexander Ly et al. [2017/05]
Re: OPTIMISATION:
A Tutorial on Bayesian Optimization
by Peter I. Frazier [2018/07]
THE NET ADVANCE OF PHYSICS