Search for tag: "expectation"

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59:19 One World Virtual Seminar Series - Stochastic… One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Denis Talay (Inria and Ecole Polytechnique)	One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Denis Talay (Inria and Ecole Polytechnique) Denis Talay (Inria and Ecole Polytechnique) Probability distributions of first hitting times of solutions to SDEs w.r.t. the Hurst parameter of the driving fractional Brownian noise: A sensitivity… icms brownian probability analysis sdes capital times formula expectation delta minus laplace respect power term function process operator transform trace star inequality diffusion naught motion From DIANE HORBERRY on February 10th, 2021 0 likes 33 plays 0 Publisher Diane Hoberry Licence Type All rights reserved Language English Date Created February 3rd, 2021
11:34 FDS-S2-01-2-2 Bias and variance FDS-S2-01-2-2 Bias and variance	FDS-S2-01-2-2 Bias and variance We'll introduce the concept of bias and variance of estimators. inf2-fds estimator variance distribution bias sample expectation estimate parameter theta error bar hat bit estimators variable mu samples difference minus sense From David Sterratt on January 14th, 2021 0 likes 235 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 14th, 2021
11:45 APMCS lec 2 p3 APMCS lec 2 p3	APMCS lec 2 p3 Adv Phil mind and Cog sciLecture 2 part 3Spontaneous response false belief tasks expectation infants box screen paradigm infant belief watermelon violation cooper mini beliefs mind kind experiment trials child idea clowns theory From Jane Lavelle on January 9th, 2021 0 likes 26 plays 0 Course Code PHIL11135 Publisher Suilin Lavelle Licence Type All rights reserved
09:43 IDS - Week 11 - 01 - Keeping up with IDS IDS - Week 11 - 01 - Keeping up with IDS	IDS - Week 11 - 01 - Keeping up with IDS Keeping up with IDS - Week 11 data science rstats week units friday rmse projects slope root quiz end model peer material bit outcome error evaluation deadline expectation choice body From Mine Cetinkaya-Rundel on November 30th, 2020 0 likes 9 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
25:34 Topic 60: Statistical Description of Random… Topic 60: Statistical Description of Random Processes (PETARS, Chapter 8)	Topic 60: Statistical Description of Random Processes (PETARS, Chapter 8) As with random vectors, other than in certain special cases, it can be difficult to describe and manipulate random processes through the use of joint-probability density functions (pdfs), although… pgeee11164 autocorrelation phi process values expectation sequence variables times function processes k. respect pdf expression summation point minus omega n2 term From James Hopgood on November 3rd, 2020 0 likes 79 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 3rd, 2020
08:51 MLP Lecture 06 - Clip 02 - Weight Initialization MLP Lecture 06 - Clip 02 - Weight Initialization	MLP Lecture 06 - Clip 02 - Weight Initialization Machine Learning Practical (MLP) Lecture 06, Clip 02 / 05. machine learning deep learning variance distribution weights units output input backpropagation inputs range practice network hour idea outputs beginning problem deviation initialization root expectation From Pavlos Andreadis on October 24th, 2020 1 likes 191 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
23:17 Topic 46: Cramer-Rao Lower Bound (PETARS, Chapter… Topic 46: Cramer-Rao Lower Bound (PETARS, Chapter 6)	Topic 46: Cramer-Rao Lower Bound (PETARS, Chapter 6) In this video, the question of finding the lower bound on the performance of all estimators for a particular probabilistic problem, as a benchmark with which to compare the performance of a given… pgee11164 estimator variance function likelihood expectation kramer times log term estimators a. expression derivative summation respect form sigma variables parameter minus From James Hopgood on October 24th, 2020 0 likes 95 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 23rd, 2020
20:20 Topic 43: Measuring Performance of an Estimator… Topic 43: Measuring Performance of an Estimator (PETARS, Chapter 6)	Topic 43: Measuring Performance of an Estimator (PETARS, Chapter 6) In this video, the question of measuring and quantifying the performance of an estimator is discussed. The video focusses on the concepts and definitions of bias and variance of the probability… pgee11164 estimator variance bias function times sample values expectation mu clock hat distribution probability sum n. pdf points parameter estimation summation From James Hopgood on October 22nd, 2020 0 likes 95 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 22nd, 2020
18:24 Topic 40: Sum of Independent Random Variables… Topic 40: Sum of Independent Random Variables (PETARS, Chapter 5)	Topic 40: Sum of Independent Random Variables (PETARS, Chapter 5) This Topic considers further the sum of random variables that was introduced in Topic 33 on auxiliary variables. The case of independent random variables and vectors is considered specifically,… pgee11164 variables sum probability function pdf convolution functions result mass expectation times l. summation respect overlap inverse variable density sense k. From James Hopgood on October 18th, 2020 0 likes 71 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 16th, 2020
17:13 Topic 36: Further Statistical Descriptors… Topic 36: Further Statistical Descriptors (PETARS, Chapter 5)	Topic 36: Further Statistical Descriptors (PETARS, Chapter 5) This video builds on the Statistical Descriptors introduced in Topic 35 by discussing the covariance matrix, the correlation coefficient, and then the cross-correlation and cross-covariance… pgee11164 correlation covariance matrix autocorrelation term variables vector times vectors means elements similarity matrices cross output coefficient input transpose mu expectation From James Hopgood on October 14th, 2020 0 likes 95 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 12th, 2020
23:54 Topic 34: Statistical Description of Random… Topic 34: Statistical Description of Random Vectors (PETARS, Chapter 5)	Topic 34: Statistical Description of Random Vectors (PETARS, Chapter 5) This video extends the concept of statistical descriptors of probability density functions to random vectors or multiple random variables. It introduces the concept of correlation, and how this… pgee11164 variables vector pdf correlation times moment probability density function moments dot values element bit matrix elements distribution x. naught expectation From James Hopgood on October 12th, 2020 0 likes 109 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 12th, 2020
23:20 Topic 25: Characteristic, Moment, Probability,… Topic 25: Characteristic, Moment, Probability, and Cumulant Generating Functions (PETARS, Chapter 4)	Topic 25: Characteristic, Moment, Probability, and Cumulant Generating Functions (PETARS, Chapter 4) To readers familiar with Signal and System analysis in Engineering, it will be second nature to apply the Fourier and Laplace transforms as a powerful tool for mapping functions from one domain to… pgee11164 function moment probability expression transform minus times fourier functions domain variables signals respect moments derivative laplace analysis expectation frequency signal From James Hopgood on September 30th, 2020 0 likes 132 plays 2 Course Code PGEE11164 Licence Type All rights reserved Date Created September 30th, 2020
45:30 One World SNIPS - Adrien Laurent (University of… One World SNIPS - Adrien Laurent (University of Geneva)	One World SNIPS - Adrien Laurent (University of Geneva) An automated programme is used to generate the subtitles on this talk. You can remove the subtitles by pressing CC on the bottom toolbar. Adrien Laurent (University of Geneva) Title: Order… icms method manifold measure conditions condition direction equation integrator step parts expansion dimension expectation edge integration talk dynamics end problem phi From Liam Holligan on September 24th, 2020 0 likes 103 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created September 23rd, 2020
18:08 Topic 22: Expectations and their Properties… Topic 22: Expectations and their Properties (PETARS, Chapter 4)	Topic 22: Expectations and their Properties (PETARS, Chapter 4) This video discusses why it is useful to characterise a probability density function (pdf) in terms of salient features which measure the location, spread, asymmetry, and the tails of the density.… pge11164 function expectation operator probability pdf distribution density variable pi linear transformation statistics x. proof respect minus zeta side statistic hand From James Hopgood on September 7th, 2020 0 likes 101 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 8th, 2020
02:21 Economic Democracy Block2 v1 Economic Democracy Block2 v1	Economic Democracy Block2 v1 Welcome to Economic Democracy: The Cooperative Alternative, our MOOC about worker-owned and worker-controlled firms. We often hear that political democracy is the best available form of… company. company structured people longevity employees. ourselves employment investment caption complete shareholders productivity wealth democratically innovation employee include expression business happen expectation right effects owners economic democracy outperform mooc democratic businesses From Nuria Fraile-Diaz on November 10th, 2016 0 likes 7 plays 0 Licence Type All rights reserved The University of Edinburgh Language english

Search for tag: "expectation"

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