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Filippo Pellegrino's Projects

cemicrodata.jl icon cemicrodata.jl

Pull data from the Consumer Expenditure (CE) Public Use Microdata (PUMD) into Julia

ltcc-advanced-computational-methods-in-statistics icon ltcc-advanced-computational-methods-in-statistics

Advanced LTCC course in Statistics - This course will provide an overview of Monte Carlo methods when used for problems in Statistics. After an introduction to simulation, its purpose and challenges, we will cover in more detail Importance Sampling, Markov Chain Monte Carlo and Sequential Monte Carlo. Whilst the main focus will be on the methodology and its relevance to applications, we will often mention relevant theoretical results and their importance for problems in practice.

messytimeseries.jl icon messytimeseries.jl

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

messytimeseriesoptim.jl icon messytimeseriesoptim.jl

A Julia implementation of estimation and validation algorithms for time series compatible with incomplete data.

stat-nlp-book icon stat-nlp-book

Interactive Lecture Notes, Slides and Exercises for Statistical NLP

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