Statistics

Recent Posts

Constructing a neural network by hand

Neural Networks belong to the most widely used and most popular machine learning algorithms as they can be used for a variety of purposes, such as for example image recognition or predictions. However Neural Networks are often said to be very complex and rather uninterpretable. Here I want to show, by means of a simple example, that the reputation of being complex can partially be disprove, as I will code a neural Network by hand.

Jan 12, 2021 13 min read R

DNA sequence classification via an EM algorithm

SeqEM ia a new genotype-calling approach based on the EM algorithm which is supposed to be more precise and accurate than the methods that have existed until now. The goal is the implementation of the so-called SeqEM algorithm in R by hand.

Jan 12, 2021 18 min read R

Bootstrap hypothesis testing on quantile value

The bootstrap method and traditional statistics use very different approaches to estimate sampling distributions. Bootstrap hypothesis testing is very popular as it does not assume any underlying distribution of the data (unlike the traditional approach). As there is currently no predefined function in R that allows to perform bootstrap hypothesis testing on quantile values we are going to do it by hand.

Jan 11, 2021 4 min read R

Web Scraping Bot in Python

Web scraping describes the process of extracting data from a website. Instead of browsing manually through an entire website, such a bot allows to do the same task in a minimum time. Here, we build such a bot by using the beautifulsoup4 library in Python.

Jan 10, 2021 9 min read Python

Covid19

.js-id-Analysis

All Graphics Analysis

Principal Component Analysis to analyse number of Covid19 infections?

Is it possible to predict or analyse the number of Covid19 infections by performing a PCA?

Covid19 in Luxembourg (ggplot graphics)

Display of Luxembourgish Covid19 data using the ggplot2 package in R.

Covid19 in Luxembourg (Plotly graphics)

Display of Luxembourgish Covid19 data using the plotly package in R.

Predicting the number of Covid19 infections by using an LSTM

The recent Covid19 pandemic clearly underlined the importance of mathematical modeling to predict future events. Instead of using classical time series models or other epidemiological models, I tried to construct an LSTM Recurrent Neural Network to predict the number of future Covid19 infections in Luxembourg.

Covid19 Data Explorer

(created by Our World in Data)

Charts

Map

Source : www.ourworldindata.org

Fred Philippy

Master’s degree student in Statistics

University of Strasbourg

About Me

I am a 2nd-year Master’s degree student in Statistics with a particular interest in Machine Learning, Computational Statistics, Data Analysis and High-Dimensional Statistics.

I built this website out of personal interest in RStudio by using a Hugo framework.

Interests

• Machine Learning
• Computational Statistics
• Mathematics

Education

• Master's degree in Statistics, 2021

• Double Major Bachelor's degree in Mathematics and Economics, 2019

• High school diploma, 2016

Education

 

 

 

 

 

Master’s degree in Statistics

University of Strasbourg

Sep 2019 – Present Strasbourg, France

Main courses:

• Data Analysis
• Machine Learning
• Time Series
• Generalized Linear Models
• Extreme Value Theory
• Bayesian Statistics
• SAS

 

 

 

 

 

Double Major Bachelor’s degree in Mathematics & Economics

University of Strasbourg

Sep 2016 – May 2019 Strasbourg, France

Main courses:

• Linear Optimization
• Non-Linear Optimizization
• Mathematical Analysis
• Algebra
• Statistics & Probability Theory
• Finance
• Micro-& Macroeconomics

 

 

 

 

 

High School Diploma

Sep 2009 – Jul 2016 Luxembourg

Economics & Mathematics track

Skills

R

70%

Statistics

100%

Mathematics

80%