Search for tag: "estimates"

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28:23 Statistics in COVID-19: Andrea Doeschl-Wilson… Statistics in COVID-19: Andrea Doeschl-Wilson (The Roslin Institute)	Statistics in COVID-19: Andrea Doeschl-Wilson (The Roslin Institute) Andrea Doeschl-Wilson (The Roslin Institute): Insights from infectious disease studies in animal populations for Covid-19 and vice versa The CfS Research Day gathered together experts in the… statistics covid-19 disease virus individuals transmission infection birds vaccine vaccination genetics effects estimates traits models lot areas status shadow moment studies From Belle Taylor on March 1st, 2021 0 likes 2 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created March 1st, 2021
52:44 Agnieszka Borowska (Glasgow): Gaussian process… Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis	Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis Chemotaxis is… statistics research parameters cell parameter abc regression features estimates model outputs points element point membrane process simulator step cases nodes instance distribution From OLLIE Quinn on February 4th, 2021 0 likes 6 plays 0 Licence Type All rights reserved Language English Date Created January 29th, 2021
12:13 FDS-S2-03-1-1 principle of A/B testing FDS-S2-03-1-1 principle of A/B testing	FDS-S2-03-1-1 principle of A/B testing We explain the principle of A/B testing, and how to derive confidence intervals for the difference in population proportions using the bootstrap. inf2-fds b. testing button minus times distribution a. bootstrap hat estimate parameters proportion difference estimators confidence method result chance estimates star From David Sterratt on January 28th, 2021 0 likes 127 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 28th, 2021
09:05 FDS-S2-01-2-3 Standard error FDS-S2-01-2-3 Standard error	FDS-S2-01-2-3 Standard error We introduce the standard error of an estimator and, in particular, the standard error of the mean. inf2-fds error standard distribution deviation estimator sigma root hat sample estimate variance replication samples n. estimates simulations size subscript thing parameter From David Sterratt on January 14th, 2021 0 likes 161 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 14th, 2021
02:19 Pros and cons of nearest-neighbor methods Pros and cons of nearest-neighbor methods	Pros and cons of nearest-neighbor methods Pros and cons of nearest-neighbor methods iaml nearest neighbours training algorithm examples testing trees decision sets operations instance comparisons attributes lots values instances thing test estimates dimensionality times bit From Nigel Goddard on September 21st, 2016 1 likes 2,740 plays 0 Licence Type Creative Commons - Attribution
00:42 Overview Overview	Overview Overview computer data hoping probability topics estimates talking examples distributions caption complete dovetails plays daytime assumption lecture independence iaml kinds missing naive continuous effects formula base classifier deals discrete knife components attributes classifier bayes silver role luck nigel From Nigel Goddard on September 17th, 2016 3 likes 3,198 plays 0 Licence Type Creative Commons - Attribution

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