Catalog of articles in probability theory

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This page lists articles related to probability theory. In particular, it lists many articles corresponding to specific probability distributions. Such articles are marked here by a code of the form (X:Y), which refers to number of random variables involved and the type of the distribution. For example (2:DC) indicates a distribution with two random variables, discrete or continuous. Other codes are just abbreviations for topics. The list of codes can be found in the table of contents.

Contents

Core probability: selected topics[edit]

Probability theory

Basic notions (bsc)[edit]

Instructive examples (paradoxes) (iex)[edit]

Moments (mnt)[edit]

Inequalities (inq)[edit]

Markov chains, processes, fields, networks (Mar)[edit]

Gaussian random variables, vectors, functions (Gau)[edit]

Conditioning (cnd)[edit]

Specific distributions (spd)[edit]

Empirical measure (emm)[edit]

Limit theorems (lmt)[edit]

Large deviations (lrd)[edit]

Random graphs (rgr)[edit]

Random matrices (rmt)[edit]

Stochastic calculus (scl)[edit]

Malliavin calculus (Mal)[edit]

Random dynamical systems (rds)[edit]

Random dynamical system / scl

Analytic aspects (including measure theoretic) (anl)[edit]

Core probability: other articles, by number and type of random variables[edit]

A single random variable (1:)[edit]

Binary (1:B)[edit]

Discrete (1:D)[edit]

Continuous (1:C)[edit]

Real-valued, arbitrary (1:R)[edit]

Random point of a manifold (1:M)[edit]

General (random element of an abstract space) (1:G)[edit]

Two random variables (2:)[edit]

Binary (2:B)[edit]

Discrete (2:D)[edit]

Continuous (2:C)[edit]

Real-valued, arbitrary (2:R)[edit]

General (random element of an abstract space) (2:G)[edit]

Three random variables (3:)[edit]

Binary (3:B)[edit]

Discrete (3:D)[edit]

Continuous (3:C)[edit]

Finitely many random variables (F:)[edit]

Binary (F:B)[edit]

Discrete (F:D)[edit]

Continuous (F:C)[edit]

Real-valued, arbitrary (F:R)[edit]

General (random element of an abstract space) (F:G)[edit]

A large number of random variables (finite but tending to infinity) (L:)[edit]

Binary (L:B)[edit]

Discrete (L:D)[edit]

Real-valued, arbitrary (L:R)[edit]

An infinite sequence of random variables (S:)[edit]

Binary (S:B)[edit]

Discrete (S:D)[edit]

Continuous (S:C)[edit]

Real-valued, arbitrary (S:R)[edit]

General (random element of an abstract space) (S:G)[edit]

Uncountably many random variables (continuous-time processes etc) (U:)[edit]

Discrete (U:D)[edit]

Continuous (U:C)[edit]

Real-valued, arbitrary (U:R)[edit]

General (random element of an abstract space) (U:G)[edit]

Around the core[edit]

General aspects (grl)[edit]

Foundations of probability theory (fnd)[edit]

Gambling (gmb)[edit]

Coincidence (cnc)[edit]

Algorithmics (alg)[edit]

Bayesian approach (Bay)[edit]

Financial mathematics (fnc)[edit]

Physics (phs)[edit]

Genetics (gnt)[edit]

Stochastic process (spr)[edit]

Geometric probability (geo)[edit]

Empirical findings (emp)[edit]

Historical (hst)[edit]

Miscellany (msc)[edit]

Counters of articles[edit]

  • "Core": 455 (570)
  • "Around": 198 (200)
  • "Core selected": 311 (358)
  • "Core others": 144 (212)

Here k(n) means: n links to k articles. (Some articles are linked more than once.)