February 2020

SR2 Chapter 2 Hard

February 29, 2020 | Brian Callander

SR2 Chapter 2 Hard Posted on 1 March, 2020 by Brian Tags: statistical rethinking, solutions, conditional probability, counting, bayes rule, pandas Category: statistical-rethinking-2 Here’s my solution to the hard exercises in chapter 2 of McElreath’s Statistical Rethinking, 1st edition. When writing this up, I came across a very relevant article. We’ll ... [Read more...]

matricks 0.8.2 available on CRAN

February 28, 2020 | Your Name

matricks package in 0.8.2 version has been released on CRAN! In this post I will present you, what are advantages of using matricks and how you can use it. Creating matrices The main function the package started with is m. It’s a smart shortcut fo...
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Drawdowns by the data

February 28, 2020 | R on OSM

We’re taking a break from our series on portfolio construction for two reasons: life and the recent market sell-off. Life got in the way of focusing on the next couple of posts on rebalancing. And given the market sell-off we were too busy gamma hedging our convexity exposure, looking ...
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SR2 Chapter 2 Medium

February 28, 2020 | Brian Callander

SR2 Chapter 2 Medium Posted on 29 February, 2020 by Brian Tags: statistical rethinking, solutions, conditional probability, counting, grid approximation Category: statistical-rethinking-2 Here’s my solutions to the medium exercises in chapter 2 of McElreath’s Statistical Rethinking, 1st edition. My intention is to move over to the 1nd edition when it comes out ... [Read more...]

All you need to know on PCA …

February 28, 2020 | francoishusson

All you need to do with PCA is in Factoshiny! PCA – Principal Component Analysis – is a well known method for exploring and visualizing data. The function Factoshiny of the package Factoshiny allows you to perform PCA in a really easy way. You can include extras information such as categorical variables, ...
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Convolutional Neural Network under the Hood

February 27, 2020 | Nagdev Amruthnath

Neural networks have really taken over for solving image recognition and high sample rate data problems in the last couple of years. In all honesty, I promise I won’t be teaching you what neural networks are or CNN’s are. There are hundred’s of resources that are published ...
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Convolutional Neural Network under the Hood

February 27, 2020 | Nagdev

Neural networks have really taken over for solving image recognition and high sample rate data problems in the last couple of years. In all honesty, I promise I won’t be teaching you what neural networks are or CNN’s are. There are hundred’s of resources that are published ...
[Read more...]

Functions and iteration

February 27, 2020 | Numerilab

Functions and iteration Introduction Functions in R allow us to automate things, instead of copy-pasting code. 3 major advantages : Functions can have names, so it makes code easier to read If your requirements change, you only have one place ...
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Student’s t-test in R and by hand: how to compare two groups under different scenarios

February 27, 2020 | R on Stats and R

Introduction Null and alternative hypothesis Hypothesis testing Different versions of the Student’s t-test How to compute Student’s t-test by hand? Scenario 1: Independent samples with 2 known variances Scenario 2: Independent samples with 2 equal but unknown variances Scenario 3: Independent samples with 2 unequal and unknown variances Scenario 4: Paired samples where the variance ...
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