## Hand Coding Instumental Variables

In a previous post we discussed the linear model and how to write a function that performs a linear regression. In this post we will use that linear model fu...

In a previous post we discussed the linear model and how to write a function that performs a linear regression. In this post we will use that linear model fu...

Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA

In this post we will discuss how to manually implement a Difference-in-Differences (DiD) estimator in R, using simulated data.

The sigmoid package makes it easy to become familiar with the way neural networks work by demonstrating the key concepts using straightforward code examples.

This is an example of how to build a Recurrent Neural Network in R.

Below is an example of how to handcode a logit model.

In this post we will discuss how to manually implement a Difference-in-Differences (DiD) estimator in R, using simulated data.

The most basic panel estimation is the Pooled OLS model, this model combines all data across indices and performs a regular Ordinary Least Squares Estimation.

Some simulated data, borrowed from this post.

A simple example

In a previous post we discussed the linear model and how to write a function that performs a linear regression. In this post we will use that linear model fu...

The learNN package makes it easy to become familiar with the way neural networks work by demonstrating the key concepts using straightforward code examples....

In this short post I want to quickly demonstrate how the most basic neural network (no hidden layer) gives us the same results as the linear model.

Andrew Trask wrote an amazing post at I am Trask called:

Andrew Trask wrote an amazing post at I am Trask called:

Andrew Trask wrote an amazing post at I am Trask called:

We want to test if our population average is different from twenty.

The wiod package is now available on CRAN. The package contains the complete WIOD data sets, in a format compatible with the decompr and gvc package.

In last week’s posts we discussed handcoding a linear model and writing a convenient function for this, in today’s post we will take this a step further by i...

In yesterday’s post we developed a method for constructing a multivariate linear model with an intercept.

In order to understand statistics, you have to do the calculations yourself!

A new R package diagonals is now available on CRAN. The package implements several tools for dealing with fat diagonals on matrices, such as this one:

Quick experiment on embedding plot.ly graphics.

A typical example in which diagonals can be helpful is Social Network Analysis. For example, if we use matrices to represent friendship perceptions between i...

A new R package gvc is now available on CRAN. The package implements several global value chain indicators

I am proud to announce that after a few emails back and forth with Prof. Brian Ripley, which consisted mostly of me appologising for not following the proper...

Yesterday the Johns Hopkins School of Public Health published a post about their Data Science Specialisation on the online MOOC platform Coursera.

In yesterday’s post I discussed some of the principles I use to make my work replicable and - to an extent - reproducible. In this post I want to collect som...

I am proud to announce the beta version of the decompr R package. The package implements Export Decomposition using the Wang-Wei-Zhu (Wang, Wei, and Zhu 2013...

ggvis is wonderful new tool to create interactive graphics, which was build with Shiny apps in mind. In this post I will go over how you can create a Shiny a...

This is an example of how to build a Recurrent Neural Network in R.

Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA

In the keynote at African Peering Forum (AfPIF) 2016 I presented the Promoting Content in Africa report written together with Michael Kende, these are the...

Increased male bargaining power in households causes greater expenditure on food, an improvement in Weight-for-Age Z-scores in young children, and a deterior...

In last week’s posts we discussed handcoding a linear model and writing a convenient function for this, in today’s post we will take this a step further by i...

Increased male bargaining power in households causes greater expenditure on food, an improvement in Weight-for-Age Z-scores in young children, and a deterior...

A new R package gvc is now available on CRAN. The package implements several global value chain indicators

I am proud to announce that after a few emails back and forth with Prof. Brian Ripley, which consisted mostly of me appologising for not following the proper...

Yesterday the Johns Hopkins School of Public Health published a post about their Data Science Specialisation on the online MOOC platform Coursera.

The wiod package is now available on CRAN. The package contains the complete WIOD data sets, in a format compatible with the decompr and gvc package.

A new R package gvc is now available on CRAN. The package implements several global value chain indicators

I am proud to announce that after a few emails back and forth with Prof. Brian Ripley, which consisted mostly of me appologising for not following the proper...

I am proud to announce the beta version of the decompr R package. The package implements Export Decomposition using the Wang-Wei-Zhu (Wang, Wei, and Zhu 2013...

Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA

Andrew Trask wrote an amazing post at I am Trask called:

A new R package diagonals is now available on CRAN. The package implements several tools for dealing with fat diagonals on matrices, such as this one:

A typical example in which diagonals can be helpful is Social Network Analysis. For example, if we use matrices to represent friendship perceptions between i...

The learNN package makes it easy to become familiar with the way neural networks work by demonstrating the key concepts using straightforward code examples....

Andrew Trask wrote an amazing post at I am Trask called:

In last week’s posts we discussed handcoding a linear model and writing a convenient function for this, in today’s post we will take this a step further by i...

In yesterday’s post I discussed some of the principles I use to make my work replicable and - to an extent - reproducible. In this post I want to collect som...

In yesterday’s post we developed a method for constructing a multivariate linear model with an intercept.

ggvis is wonderful new tool to create interactive graphics, which was build with Shiny apps in mind. In this post I will go over how you can create a Shiny a...

Andrew Trask wrote an amazing post at I am Trask called:

The wiod package is now available on CRAN. The package contains the complete WIOD data sets, in a format compatible with the decompr and gvc package.

I am proud to announce the beta version of the decompr R package. The package implements Export Decomposition using the Wang-Wei-Zhu (Wang, Wei, and Zhu 2013...

We want to test if our population average is different from twenty.

In order to understand statistics, you have to do the calculations yourself!

The learNN package makes it easy to become familiar with the way neural networks work by demonstrating the key concepts using straightforward code examples....

Andrew Trask wrote an amazing post at I am Trask called:

ggvis is wonderful new tool to create interactive graphics, which was build with Shiny apps in mind. In this post I will go over how you can create a Shiny a...

We want to test if our population average is different from twenty.

In the keynote at African Peering Forum (AfPIF) 2016 I presented the Promoting Content in Africa report written together with Michael Kende, these are the...

The Local-Content Effect of google.co.za in Setswana

The Local-Content Effect of google.co.za in Setswana

In yesterday’s post I discussed some of the principles I use to make my work replicable and - to an extent - reproducible. In this post I want to collect som...

In this post we will discuss how to manually implement a Difference-in-Differences (DiD) estimator in R, using simulated data.

The most basic panel estimation is the Pooled OLS model, this model combines all data across indices and performs a regular Ordinary Least Squares Estimation.

Some simulated data, borrowed from this post.

A simple example

In this short post I want to quickly demonstrate how the most basic neural network (no hidden layer) gives us the same results as the linear model.

We want to test if our population average is different from twenty.

In yesterday’s post we developed a method for constructing a multivariate linear model with an intercept.

In order to understand statistics, you have to do the calculations yourself!

In order to understand statistics, you have to do the calculations yourself!

In the keynote at African Peering Forum (AfPIF) 2016 I presented the Promoting Content in Africa report written together with Michael Kende, these are the...

Below is an example of how to handcode a logit model.

doing backpropagation using pen and paper

A simple example

In this short post I want to quickly demonstrate how the most basic neural network (no hidden layer) gives us the same results as the linear model.

Andrew Trask wrote an amazing post at I am Trask called:

Andrew Trask wrote an amazing post at I am Trask called:

Andrew Trask wrote an amazing post at I am Trask called:

A new R package diagonals is now available on CRAN. The package implements several tools for dealing with fat diagonals on matrices, such as this one:

Yesterday the Johns Hopkins School of Public Health published a post about their Data Science Specialisation on the online MOOC platform Coursera.

A typical example in which diagonals can be helpful is Social Network Analysis. For example, if we use matrices to represent friendship perceptions between i...

doing backpropagation using pen and paper

Development

The sigmoid package makes it easy to become familiar with the way neural networks work by demonstrating the key concepts using straightforward code examples.

Some simulated data, borrowed from this post.

A simple example

Andrew Trask wrote an amazing post at I am Trask called:

Andrew Trask wrote an amazing post at I am Trask called:

Andrew Trask wrote an amazing post at I am Trask called:

In order to understand statistics, you have to do the calculations yourself!

The most basic panel estimation is the Pooled OLS model, this model combines all data across indices and performs a regular Ordinary Least Squares Estimation.

Quick experiment on embedding plot.ly graphics.

We want to test if our population average is different from twenty.

This is an example of how to build a Recurrent Neural Network in R.

The sigmoid package makes it easy to become familiar with the way neural networks work by demonstrating the key concepts using straightforward code examples.

We want to test if our population average is different from twenty.