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MT4113 - Computing in Statistics

This class was created by Brainscape user Miranda McNeill. Visit their profile to learn more about the creator.

By: Miranda McNeill
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Decks in this class (12)

Lecture 1 - Software for Statistics
Central processing unit,
Different types of memory,
How are programming languages cla...
21  cards
Lecture 2 - Algorithms to Functions
What kind of statement is used fo...,
What statement is used for multip...,
What statements are used in neste...
23  cards
Lecture 3 - Functions, Scoping and Software Development
Advantages of creating functions,
Disadvantages of creating functions,
What are environments
27  cards
Lecture 4 - An introduction to computer arithmetic
What are numbers on a computer,
What are the two different ways n...,
What is a byte
39  cards
Lecture 6 - Permutation, randomisation and Monte Carlo Tests
What are disadvantages of wilcoxo...,
What are advantages and of permut...,
What are disadvantages of permuta...
11  cards
Lecture 7 - Bootstrap Part I
What is a non parametric simulation,
What is a parametric simulation,
What is the percentile method
6  cards
Lecture 9 - Univariate Optimisation
What is optimisation,
What is the objective function fo...,
How to find maximum log likelihood
17  cards
Lecture 10 - Multivariate Optimisation
When will a grid search work well,
What is the covariance matrix est...
2  cards
Lecture 11 - Stochastic Optimisation
What are stochastic optimization ...,
What 2 situations give rise to st...,
What are the consequences of stoc...
4  cards
Lecture 12 - Reproducibility
What can cause a statistical repo...,
Why should data and code be share...
2  cards
Lecture 13 - Presentation and Speed
What is lie factor,
What is data density,
What are the two goals when prese...
8  cards
Lecture 14 - Monte Carlo methods
What are monte carlo methods,
What are advantages of monte carl...
2  cards

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MT4113 - Computing in Statistics

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