• ==Part 2: Discrete Random Variables (To be tested in the second intra-semestrial exam)== *2.2 Functions of a discrete random variable
    4 KB (498 words) - 10:18, 17 April 2013
  • ...e. We also had a little bit of time to start talking about two dimensional random variables.
    3 KB (387 words) - 07:09, 28 February 2013
  • [[Category:normal random variable]]
    2 KB (287 words) - 10:33, 20 March 2013
  • [[Category:normal random variable]] be a two-dimensional Gaussian random variable with mean <math>\mu</math> and standard deviation matrix <math>\Sigma</math
    2 KB (273 words) - 03:22, 26 March 2013
  • ...{-j\nu}). Use the fact that the sequence was derived from a uniform random variable. The link below (from wikipedia) is useful to get the info you need from th ...ndering if its ok to use randn instead when we want to generate the random variable between -0.5 and 0.5...
    2 KB (264 words) - 08:05, 9 April 2013
  • Topic: CDF of Normal random variable ...dimensional Normal random variable with mean 1 and std 2. Use the standard normal table displayed to compute the following probabilities.
    797 B (103 words) - 14:28, 25 April 2013
  • Topic: CDF of Normal random variable ...dimensional Normal random variable with mean 3 and std 2. Use the standard normal table displayed to compute the following probabilities.
    797 B (103 words) - 14:32, 25 April 2013
  • [[ECE600_F13_rv_definition_mhossain|Previous Topic: Random Variables: Definitions]]<br/> [[ECE600_F13_notes_mhossain|'''The Comer Lectures on Random Variables and Signals''']]
    15 KB (2,637 words) - 12:11, 21 May 2014
  • ...tinuous random variables and probability mass function in case of discrete random variables and 'θ' is the parameter being estimated. ...variables) or the probability of the probability mass (in case of discrete random variables)'''
    12 KB (1,986 words) - 10:49, 22 January 2015
  • The principle of how to generate a Gaussian random variable ...od for pseudo random number sampling first. Then, we will explain Gaussian random sample generation method based on Box Muller transform. Finally, we will in
    8 KB (1,189 words) - 10:39, 22 January 2015
  • [[Category:random variables]] Question 1: Probability and Random Processes
    6 KB (895 words) - 00:41, 10 March 2015
  • [[Category:random variables]] Question 1: Probability and Random Processes
    3 KB (490 words) - 10:36, 10 March 2015

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Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva