## 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

For a job interview at WHO I was asked by build a numeric version of Noughts and Crosses (Tic-Tac-Toe to some), this is called Ron Graham’s Game (repo).

This is an implementation of the BFV schema in R:

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

Earlier this year I was in China, and in order to communicate with local delegates I installed WeChat. WeChat has a very handy feature that replaces exchangi...

This is an implementation of the BFV schema in R:

The attention R package, describing how to implement from scratch the attention mechanism - which forms the basis of transformers - in the R language is now ...

EDIT 2022-06-24: this code is now available (with helper functions) in the R package attention, which is on CRAN. You can install it simply using: install.pa...

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. What we will do is generate two sets of random numbers, a and b, which we will sum up, ...

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.

When it comes to econometrics, the main take aways from the workshops are primarily in terms of the syntax of yet another computer program.

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. What we will do is generate two sets of random numbers, a and b, which we will sum up, ...

With over a year working from home and an end not immediately in sight, I felt it was time to think a bit structurally about how to work remotely as effectiv...

Today I gave a presentation at the UN Innovation Network’s TechLearnTalks (archived, backup):

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

Today I gave a presentation at the UN Innovation Network’s TechLearnTalks (archived, backup):

Earlier this year I was in China, and in order to communicate with local delegates I installed WeChat. WeChat has a very handy feature that replaces exchangi...

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 sl...

The attention R package, describing how to implement from scratch the attention mechanism - which forms the basis of transformers - in the R language is now ...

EDIT 2022-06-24: this code is now available (with helper functions) in the R package attention, which is on CRAN. You can install it simply using: install.pa...

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...

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

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.

The slides from my briefing on the ITU-WHO Focus Group on Artificial Intelligence for Health at the Roundtable on International Actors in Digital Health (arc...

The slides from my briefing on the ITU-WHO Focus Group on Artificial Intelligence for Health to Study Group 2 of the ITU Development Sector at their Workshop...

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:

This is an implementation of the BFV schema in R:

The slides from my presentation at the Homomorphic Encryption Standardization Consortium meeting on 6 February 2020 at Microsoft Research in Seattle (archive...

Homomorphic encryption is allows computations to be performed on encrypted data. This has enormous potential in areas of machine learning that deal with priv...

The slides from my presentation at the Homomorphic Encryption Standardization Consortium meeting on 17 August 2019 at Intel HQ in Santa Clara:

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 sl...

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.

When it comes to econometrics, the main take aways from the workshops are primarily in terms of the syntax of yet another computer program.

When it comes to econometrics, the main take aways from the workshops are primarily in terms of the syntax of yet another computer program.

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 sl...

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

The attention R package, describing how to implement from scratch the attention mechanism - which forms the basis of transformers - in the R language is now ...

EDIT 2022-06-24: this code is now available (with helper functions) in the R package attention, which is on CRAN. You can install it simply using: install.pa...

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

The rnn R package, describing how to implement from scratch the Recurrent Neural Network algorithm) in the R language is now available on CRAN.

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:

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.

Today I gave a presentation at the UN Innovation Network’s TechLearnTalks (archived, backup):

The slides from my presentation at the Homomorphic Encryption Standardization Consortium meeting on 6 February 2020 at Microsoft Research in Seattle (archive...

The slides from my briefing on the ITU-WHO Focus Group on Artificial Intelligence for Health at the Roundtable on International Actors in Digital Health (arc...

The slides from my briefing on the ITU-WHO Focus Group on Artificial Intelligence for Health to Study Group 2 of the ITU Development Sector at their Workshop...

The slides from my presentation at the Homomorphic Encryption Standardization Consortium meeting on 17 August 2019 at Intel HQ in Santa Clara:

Earlier this year I was in China, and in order to communicate with local delegates I installed WeChat. WeChat has a very handy feature that replaces exchangi...

This is an example of how to build a Recurrent Neural Network in R. What we will do is generate two sets of random numbers, a and b, which we will sum up, ...

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

The slides from my presentation at the Homomorphic Encryption Standardization Consortium meeting on 6 February 2020 at Microsoft Research in Seattle (archive...

The slides from my briefing on the ITU-WHO Focus Group on Artificial Intelligence for Health at the Roundtable on International Actors in Digital Health (arc...

The slides from my briefing on the ITU-WHO Focus Group on Artificial Intelligence for Health to Study Group 2 of the ITU Development Sector at their Workshop...

The slides from my presentation at the Homomorphic Encryption Standardization Consortium meeting on 17 August 2019 at Intel HQ in Santa Clara:

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