stappit

Pinned Repositories

all-of-statistics
Solutions to Wasserman's 'All of Statistics'.
Language:Jupyter Notebook101 9 021
bayesian-data-analysis
Berlin Bayesians' solutions to Bayesian Data Analysis, 3rd edition.
Language:HTML19 5 012
BDA_course_Aalto
Bayesian Data Analysis course at Aalto
Language:TeX0 1 00
berlin-marathon
Some scripts to scrape and clean berlin marathon data.
Language:Jupyter Notebook4 2 14
berlin_bayesians_workshop_map_rect
Presentation for the Berlin Bayesians introduction to map_rect
Language:CSS3 1 01
blog
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.
Language:HTML6 1 02
fit-parser
A parser for Garmin's FIT format.
Language:Haskell1 1 00
okasaki-pfds
Solutions to Okasaki's "Purely Functional Data Structures":
Language:Haskell6 1 00
semipyrametric-statistics
Python implementations of semiparametric statistical techniques.
Language:Python3 3 01

stappit's Repositories

stappit/all-of-statistics
Solutions to Wasserman's 'All of Statistics'.
Language:Jupyter Notebook101 9 021
stappit/bayesian-data-analysis
Berlin Bayesians' solutions to Bayesian Data Analysis, 3rd edition.
Language:HTML19 5 012
stappit/blog
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.
Language:HTML6 1 02
stappit/okasaki-pfds
Solutions to Okasaki's "Purely Functional Data Structures":
Language:Haskell6 1 00
stappit/berlin-marathon
Some scripts to scrape and clean berlin marathon data.
Language:Jupyter Notebook4 2 14
stappit/berlin_bayesians_workshop_map_rect
Presentation for the Berlin Bayesians introduction to map_rect
Language:CSS3 1 01
stappit/semipyrametric-statistics
Python implementations of semiparametric statistical techniques.
Language:Python3 3 01
stappit/fit-parser
A parser for Garmin's FIT format.
Language:Haskell1 1 00
stappit/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
Language:TeX0 1 00
stappit/cmdstanpy
CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan program and fit the model to data using CmdStan.
Language:Python0 0
stappit/prob-stats
Probability and Statistics: a simulation-based introduction. An open-access book.
Language:TeX1 0
stappit/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Language:Python0 0
stappit/stappit.github.io
My blog is not longer hosted on gitpages. See:
Language:HTML1 0
stappit/statrethinking_reading_group
Material for the Berlin Bayesian reading group covering Statistical Rethinking by Richard McElreath
0 0
stappit/statrethinking_winter2019
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
stappit/wood_gam
Some solutions to Wood's Generalised Additive Models book.
1 0