Machine Learning for Official Statistics
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  • Intended purpose - central list for use cases and available code corresponding to the case (something like GSBPM Resources Repository)
  • This kind of place has good potential, but has to be designed in advance so that there is minimum effort needed to maintain. 
Random ForestDecision tree, Random forest

subtle, 
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Support Vector Machine, Random forest, Optimal weighted nearest neighbor, Support vector machine

title, 
Advanced Tables - Table Plus
Convolutional Neural NetworkConvolutional neural network 

Convolutional Neural NetworkConvolutional neural network 

titleRandom Forestneural network, Random forest

Convolutional Neural NetworkConvolutional neural network, Extra tree

General DocumentsubtleCART, 
TitleThemeStatistics AreaCountry/OrganisationReportsML methods

Data Source

Data TypeProgramming LanguageCode AvailabilityNote
Address Register Automated Image Recognition (AIR) modelImagery AnalysisGeospatial statisticsAustraliaTo be uploadedstatus

subtletrue
titleAerial ImageryImagery dataRAsk for availability
Learning statistical information from images: a proof of conceptImagery Analysis

Geospatial statistics, Income-based Poverty statistics

NetherlandsTo be uploadedstatus

subtletrue
title

Aerial Imagery,

Satellite Imagery

Imagery dataPython?? - GitLab link (Joep: not public, yet? )
Arealstatistik Deep Learning (ADELE)Imagery AnalysisGeospatial statisticsSwitzerlandTo be uploaded
Status
subtletrue

Convolutional Neural Network,

Status
subtletrue
titleSatellite Imagery, Administrative dataImagery dataPythonAsk for availability
Use of Landsat satellite data for the mapping of urban areas in non-census yearsImagery AnalysisGeospatial statistics, Urban statisticsMexicoTo be uploaded

Status
subtletrue
titleExtra Tree
, 
Status
subtletrue
titleSatellite ImageryImagery dataPythonAsk for availability
Generic Pipeline for Production of Official Statistics Using Satellite Data and Machine LearningImagery AnalysisNot applicableUNECETo be uploaded
Status
subtletrue
title


Not applicableNot applicableNot applicableNot applicable
Imputation of the variable “Attained Level of Education” in Base Register of IndividualsEdit & ImputationEducation statisticsItalyTo be uploaded

Status
subtletrue
titleMulti-Layer Perception
, 
Status
subtletrue
titleLog-Linear
 Multilayer perceptron, Log linear

Administrative data, Survey data, Census data
Python GitHub link 
Imputation in the sample survey on participation of Polish residents in tripsEdit & Imputation

Tourism statistics 

PolandTo be uploaded
Status

truetitle
Status
subtletrue
titleRandom Forest
,
Status
subtletrue
titleOptimal Weighted Nearest Neighbour
, 
Status
subtletrue
titleSurvey data
RLocal, not public
Machine learning methods for imputationEdit & Imputation?GermanyTo be uploaded
Status
subtletrue

K-Nearest-Neighbours, 

Status
subtletrue
titleBayesian Networks
, 
Status
subtletrue
titleRandom Forest
, 
Status
subtletrue
titleSupport Vector Machine
nearest neighbors, Bayesian network, Random forest, Support vector machine

Survey data
RNot available
Early estimates of energy balance statistics using machine learningEdit & Imputation

Energy statistics,

Economic and Financial statistics,

Weather statistics

Belgium VITOTo be uploadedstatus

subtletrue
titleLasso Regression
Status
subtletrue
titleLinear Regression
, 
Status
subtletrue
titleNeural Network
, 
Status
subtletrue
titleRandom Forest
, 
Status
subtletrue
titleRidge Regression
Lasso regression, Linear regression, Neural network, Random forest, Ridge regression

? 
PythonGitHub link

Edit & Imputation
UKTo be uploaded





Editing in the Italian Register of the Public AdministrationEdit & ImputationEconomic and Financial statisticsItalyTo be uploaded

Status
subtletrue
titleDecision Tree
, 
Status
subtletrue
titleAdministrative data 
R

Occupation and Economic activity coding using natural language processingCoding & Classification

Demographic and Social statistics,

Economic and Financial statistics, 

Labor statistics

MexicoTo be uploaded
Status

true
titleExtra Tree
Status
subtletrue
titleNaive Bayes
,
Status
subtletrue
titleXgboost
, 
Status
subtletrue
titleSupport Vector Machine
,
Status
subtletrue
titleMulti-Layer Perception
, 
Status
subtletrue
titleDecision Tree
,
Status
subtletrue
titleRandom Forest
, 
Status
subtletrue
titleK-Nearest-Neighbours
, StatussubtletruetitleLogistic RegressionExtra tree, Naive bayes, XGBoost, Support vector machine, Multilayer perceptron, Decision tree, Random forest, K-nearest neighbors, Logistic regression, 

Survey dataText dataPython

File attachment


Industry and Occupation CodingCoding & ClassificationLabor statistics, Business StatisticsCanadaTo be uploaded

Status
subtletrue
titleFasttest

FastText

Survey dataText dataPythonGitHub link
Sentiment Analysis of twitter dataCoding & ClassificationLife statisticsBelgium FlandersTo be uploaded Statussubtletruetitle

Word Embedding, 

Status
subtletrue
titleLogistic Regression
,
Status
subtletrue
titleXgboost
,  StatussubtletruetitleRandom Forestembedding, Logistic regression, XGBoost, Random forest

Social Media  dataText dataPythonGitHub link

Coding & Classification
SerbiaTo be uploaded



Not available
Coding Workplace Injury and IllnessCoding & ClassificationLabor StatisticsUSATo be uploaded Statussubtletruetitle

Neural Networknetwork

Survey dataText dataPythonGitHub link
Product Description to ECOICOPCoding & Classification?PolandTo be uploaded Statussubtletruetitle

Naive Bayes, 

Status
subtletrue
titleLogistic Regression
,
Status
subtletrue
titleRandom Forest
, 
Status
subtletrue
titleSupport Vector Machine
, StatussubtletruetitleNeural Networkbayes,, Logistic regression, Random forest, Support vector machine, Neural network

Web Scraping dataText dataPythonGithub link

Coding & Classification
AustraliaTo be uploaded







Automated Coding of IMF's Catalog of Time SeriesCoding & Classification
IMFTo be uploaded






Coding & Classification
IcelandTo be uploaded





Standard Industrial Code Classification by Using Machine Learning


Coding & ClassificationBusiness Registration Statistics?NorwayTo be uploaded Statussubtletruetitle

Logistic Regression, 

Status
subtletrue
titleRandom Forest
,
Status
subtletrue
titleNaive Bayes
, 
Status
subtletrue
titleSupport Vector Machine
,
Status
subtletrue
titleFasttest
,  StatussubtletruetitleNeural Networkregression, Random forest, Naive bayes, Support vector machine, FastText, Neural network

Business Registration data?Text dataPythonGitHub Link (Ask for availability)




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