The Net Advance of Physics:
STATISTICAL METHODS
General: Introductory:
Schmittmann and Zia 99/05;
General: Textbooks:
Statistics: Methods and Applications
by T. Hill and P. Lewicki [Tulsa: StatSoft, 2007]
Statistical Inference
by Konstantin Zuev [2016/03] ACM lecture notes, 145 pp.
General:
NIST/SEMATECH e-Handbook of Statistical Methods
[2006/07]
Probability and Statistics WWW Resources
from Zombeck's
Handbook of Space Astronomy and Astrophysics
[Cambridge University Press]
Probability and Statistical Inference
by Harrison B. Prosper [2005/03]
Introduction to Randomness and Statistics
by Alexander K. Hartmann [2009/10] 95pp.
Probability and Statistics for Particle Physicists
by José Ocariz [2014/05]
Practical Statistics for Particle Physicists
by Harrison B. Prosper [2015/04]
Statistical sensitiveness for science
by Jose D. Perezgonzalez [2016/04]
Practical Statistics for Particle Physics
by Luca Lista [2016/09]
Types:
BAYESIAN;
MONTE CARLO;
Type: ALGORITHMIC:
Algorithmic statistics: forty years later
by Nikolai Vereshchagin and Alexander Shen [2016/07]
Type: BOOSTED DECISION TREE:
Topics in statistical data analysis for high-energy physics
by G. Cowan [2009/06]
Type: FISHER:
Fisher Matrices and Confidence Ellipses: A Quick-Start Guide and Software
by Dan Coe [2009/06]
Type: INTERVAL CALCULUS:
Gutowski 2003/02;
Type: LARGE DEVIATION:
A basic introduction to large deviations: Theory, applications, simulations
by Hugo Touchette [2011/06]
Aspects:
MARKOV PROCESSES;
RANDOM SAMPLING;
Aspects: BRANCHING PROCESSES:
Introductory Lectures on Stochastic Population Systems
by Donald A. Dawson [2017/05] 256 pp.
Aspects: EXPERIMENTAL UNCERTAINTY:
Annotated Bibliography of Some Papers on Combining Significances or p-values
by Robert D. Cousins [2007/05]
Aspects: BOOTSTRAPPING:
What Teachers Should Know about the Bootstrap: Resampling in the Undergraduate Statistics Curriculum
by Tim Hesterberg [2014/11]
Aspects: HAWKES PROCESSES:
Hawkes Processes
by Patrick J. Laub et al. [2015/07]
Aspects: KERNEL-DENSITY ESTIMATION:
A Tutorial on Kernel Density Estimation and Recent Advances
by Yen-Chi Chen [2017/04]
Aspects: POINT PROCESSES:
A Review of Self-Exciting Spatio-Temporal Point Processes [in Statistics] and Their Applications
by Alex Reinhart [2017/08]
Aspects: RARE EVENTS:
Rare Event Simulation
by James L. Beck and Konstantin M. Zuev [2015/08]
Aspects: RECORDS (i.e. data points far from norm):
Records in stochastic processes -- Theory and applications
by Gregor Wergen [2012/11]
Aspects: STATISTICAL SIGNIFICANCE and HYPOTHESIS TESTING:
Sinervo 2002/08;
R. A. Fisher, design theory, and the Indian connection
by A. R. P. Rau [
J. Biosci. 34
, 353 (2009)]
Introduction to Randomness and Statistics
by Alexander K. Hartmann [2009/10] 95pp.
Variational Inference: A Review for Statisticians
by David M. Blei et al. [2016/01]
Re: ASTRONOMY:
Statistics in astronomy
by Eric D. Feigelson [Encyclopedia for Statistical Science, 2009]
Statistical Methods for Astronomy
by Eric D. Feigelson and G. Jogesh Babu [2012/05]
Statistical methods in astronomy
by James P. Long and Rafael S. de Souza [2017/07]
Re: COSMOLOGY:
A practical guide to Basic Statistical Techniques for Data Analysis in Cosmology
by Licia Verde [2007/12]
Statistical methods in cosmology
by Licia Verde [2009/11]
Re: HIGH-ENERGY PHYSICS:
Statistics for Searches at the LHC
by Glen Cowan [2012/09]
Probability and Statistics for Particle Physicists
by José Ocariz [2014/05]
Practical Statistics for the LHC
by Kyle Cranmer [2015/03]
Practical Statistics [for High Energy Physics]
by L. Lyons [2015/03]
Practical Statistics for Particle Physicists
by Harrison B. Prosper [2015/04]
Practical Statistics for Particle Physics
by Luca Lista [2016/09]
Re: LARGE SCALE COSMIC STRUCTURE:
Borgani 95/10;
Re: MINKOWSKI FUNCTIONALS:
Schmalzing et al. 95/08;
Re: QUANTUM DOTS:
Alhassid 2001/02;
THE NET ADVANCE OF PHYSICS