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- '''Observations''': k successes in n Bernoulli trials.2 KB (310 words) - 09:58, 23 April 2012
- Suppose customer orders arrive according to an i.i.d. Bernoulli random process <math class="inline">\mathbf{X}_{n}</math> with parameter <5 KB (726 words) - 10:35, 10 March 2015
- ...}_{1},\mathbf{X}_{2},\mathbf{X}_{3},\cdots</math> be a sequence of i.i.d Bernoulli random variables with <math class="inline">p=1/2</math> , and let <math cla4 KB (632 words) - 11:05, 10 March 2015
- *1.5 Bernoulli Trials4 KB (498 words) - 10:18, 17 April 2013
- ...ure 7, we discussed some properties of independent events and talked about Bernoulli trials. There was also a quiz in which the probability of a combination of3 KB (364 words) - 07:43, 25 January 2013
- In Lecture 8, we continued talking about Bernoulli trials. In view of the quiz from the past lecture, we paid special attentio2 KB (328 words) - 08:11, 25 January 2013
- ==Bernoulli Trials == Bernoulli trials are an important combined experiment that models repeated independen9 KB (1,543 words) - 12:11, 21 May 2014
- Used to model number of successes in Bernoulli trials Used to model number of Bernoulli trials until the occurrence of first success.15 KB (2,637 words) - 12:11, 21 May 2014
- ...conjugate to the binomial distribution which gives the likelihood of i.i.d Bernoulli trials. It suggests that the prior Beta(5,15) actually is equivalent to adding 20 Bernoulli observations to the data, 5 Heads and 15 Tails. This means the posterior su15 KB (2,273 words) - 10:51, 22 January 2015
- Binomial Distribution is used to model 'x' successes in 'n' Bernoulli trials. Its p.d.f. is given by:12 KB (1,986 words) - 10:49, 22 January 2015
- [[Category:Maximum Likelihood for Gaussian and Bernoulli Distributions]]1,009 B (124 words) - 23:32, 29 April 2014
- [[Category:Maximum Likelihood for Gaussian and Bernoulli Distributions]]1 KB (193 words) - 10:49, 22 January 2015
- == '''Bayesian Parameter Estimation: Bernoulli Case with Beta distribution as prior''' == Recall that the Bernoulli distribution has probability density function (given p)10 KB (1,600 words) - 10:52, 22 January 2015
- ...of the vedio, it focus on explaining the meaning of likelihood using Bernoulli distribution. It's a really clear expaination and quite worthwhile, as many ...er to make people understand it with just a simple case (for example using Bernoulli on Gaussian destribution).2 KB (397 words) - 09:12, 13 May 2014
- [[Category:Maximum Likelihood for Gaussian and Bernoulli Distributions]]1 KB (139 words) - 10:50, 22 January 2015
- ...e">n</math> flips. ''Hint'': Express the number of changeovers as a sum of Bernoulli random variables.3 KB (470 words) - 07:47, 4 November 2014
- ...e">n</math> flips. ''Hint'': Express the number of changeovers as a sum of Bernoulli random variables. The number of changeovers <math>Y</math> can be expressed as the sum of n-1 Bernoulli random variables:3 KB (566 words) - 17:28, 23 February 2017
- Suppose customer orders arrive according to an i.i.d. Bernoulli random process <math class="inline">\mathbf{X}_{n}</math> with parameter <3 KB (422 words) - 10:38, 10 March 2015
- ...}_{1},\mathbf{X}_{2},\mathbf{X}_{3},\cdots</math> be a sequence of i.i.d Bernoulli random variables with <math class="inline">p=1/2</math> , and let <math cla3 KB (379 words) - 14:42, 10 August 2018
- *[[page_6|Bernoulli Trials and Binomial Distribution]]414 B (50 words) - 00:39, 3 December 2018
