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- <font size="4">Question 1: Probability and Random Processes </font> ...f{X}_{n} \dots </math> be a sequence of independent, identical distributed random variables, each uniformly distributed on the interval [0, 1], an hence havi12 KB (1,948 words) - 10:16, 15 August 2014
- ...cess. A stochastic process { X(t), t∈T } is an ordered collection of random variables, T where T is the index set and if t is a time in the set, X(t) i ...h models that use X1,…,Xn as independently identically distributed (iid) random variables. However, note that states do not necessarily have to be independ19 KB (3,004 words) - 09:39, 23 April 2014
- ...nd way was using a uniform random variable in vector operations. A uniform random vector of the same size of the whole dataset is first generated, whose each ...ld be easy to understand even for people who do not have deep knowledge in random variables & probabilities. The demonstrations (figures & codes) in MATLAB w3 KB (508 words) - 16:12, 14 May 2014
- ...ven value of θ is denoted by p(x|θ ). It should be noted that the random variable X and the parameter θ can be vector-valued. Now we obtain a set of indepen ...s parameter estimation, the parameter θ is viewed as a random variable or random vector following the distribution p(θ ). Then the probability density func15 KB (2,273 words) - 10:51, 22 January 2015
- ...Geometric Distribution, Binomial Distribution, Poisson Distribution, and Uniform Distribution ** Uniform Distribution12 KB (1,986 words) - 10:49, 22 January 2015