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Probability Theory

Random variables, distributions, expectation, limit theorems.

Дарсҳо

Introductory Sample spaces and the axioms Kolmogorov's axioms, events as sets, conditional probability and Bayes. 1 - (5/6)^4 Core Random variables and expectation Distributions, expected value, variance, linearity of expectation. 10 * 1/2 Core The common distributions Bernoulli, binomial, Poisson, uniform, exponential, normal, and what each models. integrate e^(-x^2/2)/sqrt(2*pi) dx from -1.96 to 1.96 Advanced The law of large numbers and the central limit theorem Why averages converge and why they are normally distributed. limit of (1 + 1/n)^n as n -> oo

Statistics measures data; probability theory is the mathematics underneath it. Distributions as functions, expectation as an integral, and the laws that make averages settle down.

Дарси иловагӣ

Probability

An Introduction to Probability Conditional Probability and Independent Events Bernoulli Trials Discrete Random Variables Central Tendency Probability Spaces with Infinitely Many Outcomes Discussion

Applying Probability to Combinatorics

A First Taste of Ramsey Theory Small Ramsey Numbers Estimating Ramsey Numbers Applying Probability to Ramsey Theory Ramsey's Theorem The Probabilistic Method Discussion

Foundations

Probability theory Probability space Probability axioms Conditional probability Bayes' theorem Independence (probability theory)Random variable Probability distribution Cumulative distribution function Probability density function

Distributions

Binomial distribution Poisson distribution Normal distribution Exponential distribution Uniform distribution (continuous)Geometric distribution Chi-squared distribution Student's t-distribution

Limit theorems

Expected value Variance Covariance Law of large numbers Central limit theorem Chebyshev's inequality Moment-generating function Convergence of random variables Markov chain Martingale (probability theory)Stochastic process Brownian motion

Баъзе аз ин дарсҳо аз матнҳои кушода гирифта шудаанд: Keller & Trotter, Applied Combinatorics, Wikipedia. Ҳар саҳифаи дарс номи манбаи онро ва иҷозатномаро дорад.

Символы, используемые здесь

Барои муайянкунии пурраи маъно, тасвир ва маънои ҳар як ҳарф дар он, ба ҳар як аломат пахш кунед.

Саволҳои маъмул

What is the difference between probability and statistics?

Probability goes from a known model to what the data should look like; statistics goes from data back to the model. Probability theory is the deductive half.

What does the law of large numbers promise?

That the average of many independent samples converges to the expected value. It says nothing about any single trial.

Шумо мушкилоти худро доред?
Дар саҳифаи ҳалкунанда онро навишта ё кашед: ҳар қадам, тасвир, ҷавоб то он даме, ки шумо пурсед, пинҳон аст. & Ҷудо кардан →

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