Testing the no-hair theorem with LIGO and Virgo https://inspirehep.net/files/39c709830d79d3403bf8fa4657796f99
For a complete list of all the waveform models Ref: https://dcc.ligo.org/DocDB/0175/P2100149/001/GW190521-2.pdf
https://textbooks.math.gatech.edu/ila/
【免费书稿《现代统计学入门(第二版)》】《Introduction to Modern Statistics (2nd Ed)》https://openintro-ims2.netlify.app/
How about that Bayes: Bayesian techniques and the simple pendulum https://arxiv.org/pdf/2104.08621.pdf
Hierarchical Bayesian models
https://zhuanlan.zhihu.com/p/267254720 https://blog.csdn.net/lee813/article/details/53446560 https://blog.csdn.net/weixin_30474613/article/details/99835080
A Conceptual Introduction t Hamiltonian Monte Carlo https://arxiv.org/pdf/1701.02434.pdf
https://www.researchgate.net/publication/270450534_A_Note_on_Bound_for_Jensen-Shannon_Divergence_by_Jeffreys https://bigdatascientistblog.wordpress.com/2017/09/11/a-simple-introduction-to-kullback-leibler-divergence-through-python-code/ https://www.cise.ufl.edu/~anand/sp06/jensen-shannon.pdf
http://www.phys.ufl.edu/ireu/reports/2012/AlexMellusFinalPaper.pdf
Mahalanobis Distance – Understanding the math with examples (python) https://www.machinelearningplus.com/statistics/mahalanobis-distance/
https://arxiv.org/pdf/1909.12313.pdf
INTRODUCTION TO MARKOV CHAIN MONTE CARLO (MCMC) SAMPLING, PART 2: GIBBS SAMPLING https://www.tweag.io/blog/2020-01-09-mcmc-intro2/ Understanding Latent Dirichlet Allocation (4) Gibbs Sampling https://naturale0.github.io/2021/02/16/LDA-4-Gibbs-Sampling