- General: Introductory:
Schmittmann and Zia 99/05;
- General: Textbooks:
- General:
- Types:
BAYESIAN;
MONTE CARLO;
- Type: ALGEBRAIC:
- Type: ALGORITHMIC:
- Type: BOOSTED DECISION TREE:
- Type: FISHER:
- Type: INTERVAL CALCULUS:
Gutowski 2003/02;
- Type: LARGE DEVIATION:
- Aspects:
MARKOV PROCESSES;
RANDOM SAMPLING;
- Aspects: BENFORD'S LAW:
- Aspects: BOOTSTRAPPING:
- Aspects: BRANCHING PROCESSES:
- Aspects: CORRELATIONS:
- Aspects: DATA FILTERING:
- Aspects: EXPERIMENTAL UNCERTAINTY:
- Aspects: EXTREMES:
- Aspects: FALSE CONFIDENCE THEOREM:
- Aspects: FANO'S INEQUALITY:
- Aspects: FIRST PASSAGE TIME:
- Aspects: HAWKES PROCESSES:
- Aspects: KERNEL-DENSITY ESTIMATION:
- Aspects: MODE:
- Aspects: MULTIPLE IMPUTATION:
- Aspects: POINT PROCESSES:
- Aspects: RARE EVENTS:
- Aspects: RECORDS (i.e. data points far from norm):
- Aspects: REGRESSION:
- Aspects: STATISTICAL SIGNIFICANCE and HYPOTHESIS TESTING:
Sinervo 2002/08;
- Re: ASTRONOMY:
- Re: COSMOLOGY:
- Re: GENETICS:
Re: HIGH-ENERGY PHYSICS:
- Re: LARGE SCALE COSMIC STRUCTURE:
Borgani 95/10;
- Re: MINKOWSKI FUNCTIONALS:
Schmalzing et al. 95/08;
- Re: QUANTUM DOTS:
Alhassid 2001/02;