Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
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Updated
Oct 29, 2024 - HTML
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Streamline a data analysis process
My Code Repository for Coursera Data Science Specialization by John Hopkins University
This repository has scripts and other files that are part of the lecture notes and assignments of the course "Advanced Statistical Inference" taught at FME, UPC Barcelonatech.
2017-02 Middlebury Intro to Statistical & Data Sciences
Some collection of codes that are used in data mining and data science related fields, developed by me
Identifying which households in Costa Rica have the highest need for social welfare assistance
Maestria-Computo-Estadistico CIMAT 2018-2019
Material del curso intersemestral "Análisis de Varianza (ANOVA): Introducción a la modelización de datos en R" impartido en el verano de 2017 por Mtro. Said Jiménez, Josué Mendoza, y Diego Ángeles Valdez en la Facultad de Psicología, UNAM.
This is a repository for resources completed as part of the Duke University Statistics with R Specialization.
I often post solutions to textbook exercises, including: Bayesian Data Analysis (BDA) by Gelman et al; Causal Inference in Statistics Primer (CISP) by Pearl et al; Purely Functional Data Structures (PFDS) by Okasaki.
Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.
Complete introductory statistics textbook with an emphasis on the biological & environmental sciences. Includes 26 chapters introducing key concepts for a foundational understanding of statistics and 9 complementary chapters of exercises with jamovi. Supplemental shiny apps illustrate book concepts. All code and datasets are freely available.
Exercises from the Bayesian Cognitive Modeling book by Lee and Wagenmakers implemented in R and Stan.
Coursework for COMP3354 Statistical Learning
This repository is intended for documenting Team 18's codes and outputs for the ANLY511 Project.
A manuscripts of mine about mathematics and computer science.
Statistical inference assignment as part of the Data Science specialisation by Johns Hopkins University on Coursera
Notas para clase del ITAM de estadistica2 - primavera 2020
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