Search results for "Expectation" - Rhea

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• Lecture24 blog ECE302S13 Boutin
  ...lked about the expectation of a 2D random variable, and more generally the expectation of any function of a 2D random variable. In particular, we looked at the co
  2 KB (324 words) - 13:11, 5 March 2013
• Quiz4 expectation discrete RV ECE302 S13 Boutin
  Topic: Expectation of discrete random variable :for an appropriate chosen constant C. What is the expectation of X?
  782 B (106 words) - 14:19, 25 April 2013
• Quiz7 expectation continuousRV ECE302 S13 Boutin
  Topic: Expectation of continuous RV
  784 B (104 words) - 14:41, 25 April 2013
• ECE637 tomographic reconstruction CT S13 mhossain
  Let <math>\lambda_x = E[Y_x]</math> be the expectation of the number of photons at depth <math>x</math>.
  9 KB (1,390 words) - 07:24, 26 February 2014
• Proofs mhossain
  *[[lineariy_of_expectation_proof_mhossain|Linearity of Expectation]]
  2 KB (227 words) - 11:15, 6 October 2013
• Lineariy of expectation proof mhossain
  The expectation function is a linear function. i.e.<br/> where <math>E</math> is the expectation function, <math>X</math> and <math>Y</math> are random variables with distr
  3 KB (585 words) - 14:15, 13 June 2013
• ECE600 F13 notes mhossain
  *[[ECE600_F13_Expectation_mhossain|Random Variables: Expectation]] *[[ECE600_F13_Joint_Expectation_mhossain|Joint Expectation]]
  2 KB (227 words) - 12:10, 21 May 2014
• ECE600 F13 rv Functions of random variable mhossain
  [[ECE600_F13_Expectation_mhossain|Next Topic: Expectation]] [[ECE600_F13_Expectation_mhossain|Next Topic: Expectation]]
  9 KB (1,723 words) - 12:11, 21 May 2014
• ECE600 F13 Expectation mhossain
  <font size= 3> Topic 9: Expectation</font size> ...describe X probabilistically using only a small number of parameters. The expectation is often used to do this.
  8 KB (1,474 words) - 12:12, 21 May 2014
• ECE600 F13 Characteristic Functions mhossain
  [[ECE600_F13_Expectation_mhossain|Previous Topic: Expectation]]<br/> This expectation depends on <math>\omega</math> ∈ '''R''' and will be the characteristic f
  5 KB (804 words) - 12:12, 21 May 2014
• ECE600 F13 Joint Distributions mhossain
  ...h> or pmf p<math>_Y</math> when Y = g(X), expectation E[g(X)], conditional expectation E[g(X)|M], and characteristic function <math>\Phi_X</math>. We will now def
  8 KB (1,524 words) - 12:12, 21 May 2014
• ECE600 F13 Joint Expectation mhossain
  <font size= 3> Topic 14: Joint Expectation</font size> ==Joint Expectation==
  7 KB (1,307 words) - 12:12, 21 May 2014
• ECE600 F13 Conditional Expectations for Two Random Variables mhossain
  <font size= 3> Topic 16: Conditional Expectation for Two Random Variables</font size> ==Iterated Expectation==
  4 KB (875 words) - 12:13, 21 May 2014
• ECE-QE CS1-2012 solusion-1
  2. Variance formula is incorrect. The expectation argument is not squared.
  6 KB (995 words) - 09:21, 15 August 2014
• Neyman-Pearson Lemma and Receiver Operating Characteristic Curve
  ...'false alarm''' rate respectively. The only difference is representing the expectation values as fraction as follow:
  15 KB (2,306 words) - 10:48, 22 January 2015
• Parzen Window Density Estimation
  ...o estimate the parameters of the underlying distributions of data, and the expectation-maximization (EM) algorithm is an oft-used particular method of estimating
  16 KB (2,703 words) - 10:54, 22 January 2015
• Slecture from KNN to nearest neighbor
  ...ing the variance of the estimate of <math>\rho(\vec{x_o}) </math>, but the expectation of <math>\bar{\rho_k}(\vec{x_o})</math> is always accurate.
  6 KB (1,013 words) - 10:55, 22 January 2015
• MLEforGMM
  ...ing maximum likelihood with large number of latent variables (parameters), Expectation–maximization (EM) algorithm. ...tween performing an expectation (E) step, which creates a function for the expectation of the log-likelihood evaluated using the current estimate for the paramete
  13 KB (1,966 words) - 10:50, 22 January 2015
• MLEforGMM comments
  ...how MLE works. Lastly, MLE for Gaussian Mixture Model is presented and EM(Expectation and Maximization) algorithm is introduced for the case of a model in which
  2 KB (397 words) - 10:59, 3 May 2014
• ECE438HonorsContractCT
  <math>\lambda_x = E[Y_x]:</math>= the expectation of the number of photons at depth <math>x</math>
  7 KB (1,072 words) - 19:25, 9 February 2015
• MA366 Lab
  | [[Media:Lab00ExpectationsNotes.pdf| Expectation-Notes]]
  5 KB (781 words) - 16:27, 5 January 2024
• ECE PhD QE CNSIP 2015 Problem1.4
  ...uare terms and <math>\sum^n_{j-1}(j-1)</math> cross terms. Recall that the expectation values of the cross terms will all be zero since <math>X_i</math> is zero-m
  5 KB (1,064 words) - 23:38, 31 January 2016
• CS5 2014 Aug prob1
  ...a_x}\lambda_x^k}{k!}</math> is a Potion distribution, it is known that the expectation of a Poisson RV is <math>\lambda_x</math>.
  3 KB (529 words) - 16:42, 18 May 2017
• Fishers Information and Jeffrey's Prior
  ...experimental outcomes, because the Fisher information is computed from an expectation over the given universe.
  1 KB (219 words) - 22:32, 6 December 2020