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statistical-inference
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Code for modelling estimated deaths and cases for COVID19.
statistical-inference
bayesian-statistics
statistical-models
probabilistic-models
statistical-computing
intervention-study
branching-process
renewal-process
covid-19
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Jul 2, 2020 - Jupyter Notebook
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
data-science
ggplot2
r
dplyr
rstudio
tidyverse
regression
data-visualization
statistical-inference
rstats
chester
confidence-intervals
tidy
data-wrangling
bootstrap-method
statistical
regression-models
hypothesis-testing
infer
permutation-test
moderndive
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Jul 11, 2020 - TeX
lukasheinrich
commented
Mar 20, 2020
MCMC sample analysis, kernel densities, plotting, and GUI
statistical-inference
mcmc
kernel-density-estimation
sampling-methods
contour-plot
plotting-in-python
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Jul 7, 2020 - Python
R package for statistical inference using partially observed Markov processes
markov-model
r
time-series
state-space
statistical-inference
particle-filter
dynamical-systems
abc
differential-equations
mathematical-modelling
likelihood
markov-chain-monte-carlo
stochastic-processes
likelihood-free
simulation-modeling
b-spline
measurement-error
sequential-monte-carlo
sobol-sequence
pomp
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Jul 10, 2020 - R
python
nlp
opencv
data-science
deep-neural-networks
sql
deep-learning
hadoop
tensorflow
eda
pyspark
web-scraping
statistical-analysis
statistical-inference
tensorboard
convolutional-neural-networks
h5
time-series-analysis
statistical-modeling
time-series-prediction
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Aug 23, 2018 - Jupyter Notebook
Basic statistical modelling examples.
python
pandas
python3
seaborn
statistical-analysis
statistical-inference
r-markdown
matplotlib
r-language
stan
regression-models
anova
r-programming
pystan
statistical-modeling
regression-analysis
analysis-of-variance
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Feb 9, 2020 - R
Statistical inference on machine learning or general non-parametric models
machine-learning
time-series
random-forest
artificial-intelligence
statistical-inference
data-analysis
artificial-neural-networks
statistical-tests
support-vector-machines
simulation-modeling
non-parametric-inference
shapley-decomposition
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Mar 8, 2019 - Python
Hypothesis and statistical testing in Python
python
statistics
analysis
statistical-inference
statistical-tests
inferential-statistics
hypothesis
hypothesis-testing
statistics-library
frequentist-methods
nonparametric-statistics
frequentist-statistics
nonparametric-tests
comparison-tests
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Mar 31, 2020 - Python
Probabilistic Threshold-Free Cluster Enhancement of Neuroimages
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Apr 30, 2020 - R
Texomer: Integrating Analysis of Cancer Genome and Transcriptome Sequencing Data
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Dec 12, 2019 - R
Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
julia-language
statistical-inference
bayesian-inference
bayesian-data-analysis
approximate-bayesian-computation
probabilistic-inference
kissabc
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Jul 10, 2020 - Julia
A resource list for causality in statistics, data science and physics
data-science
machine-learning
statistics
physics
statistical-mechanics
statistical-inference
bayesian-inference
causality
causation
causality-analysis
causal-inference
statistical-physics
causal-models
meta-learning
causal-networks
causality-algorithms
causal-machine-learning
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Apr 4, 2020
Fast Bayesian Hidden Markov Model with Wavelet Compression
machine-learning
hmm
bioinformatics
statistics
time-series
genomics
genome
statistical-inference
segmentation
bayesian-inference
wavelet
hidden-markov-model
bayesian-data-analysis
genome-analysis
bayesian-statistics
hidden-markov-models
time-series-analysis
wavelets
wavelet-transform
wavelet-compression
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Jan 24, 2020 - C++
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
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Jan 10, 2020 - R
A Bayesian model of series convergence using Gaussian sums
python
statistics
physics
statistical-inference
bayesian
bayesian-inference
uncertainty-quantification
ohio-state-university
statistical-models
nuclear-physics
field-theory
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Mar 25, 2020 - Python
Some collection of codes that are used in data mining and data science related fields, developed by me
visualization
python
java
data-science
machine-learning
data-mining
big-data
deep-learning
huffman
exploratory-data-analysis
sort
artificial-intelligence
statistical-inference
dfs
dijkstra
bayesian-inference
data-mining-algorithms
hypothesis-testing
algorithm-design
data-challenge
java-data-mining
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Mar 29, 2020 - HTML
Perform inference on algorithm-agnostic variable importance
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Jun 18, 2020 - R
A comprehensive module used to calculate the high bound, low bound, and center of a Wilson score interval.
sorting
statistics
statistical-analysis
statistical-inference
ranking
population
confidence-interval
confidence
wilson-interval
singleton-adjustment
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May 4, 2020 - JavaScript
Linear Regression Analysis on Wine data - Pre-processing data, Exploratory Data Analysis, Building a model, Check assumptions, Goodness of fit and Compare with different methods.
visualization
python
sklearn
plotly
regression
statistical-inference
statistical-tests
panda
wine-quality
regression-analysis
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Mar 4, 2019
Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"
tensorflow
statistical-inference
generative-model
expectation-maximization
opinion-mining
opinion-dynamics
temporal-graphs
kdd2020
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Jun 2, 2020 - Python
StAtistical Models for the UnsupeRvised segmentAion of tIme-Series
data-science
statistical-learning
artificial-intelligence
statistical-inference
model-selection
dynamic-programming
human-activity-recognition
latent-variable-models
em-algorithm
newton-raphson
hidden-markov-models
time-series-analysis
time-series-clustering
multivariate-timeseries
change-point-detection
piecewise-regression
hidden-process-regression
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Jan 22, 2020 - R
Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that are very important to Data science domain and its application using Python. Learn about Numpy, Pandas Data Frame.
data-science
statistical-analysis
statistical-inference
python-statistics
statistics-for-data-science
statistict-using-python
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Aug 18, 2019 - Jupyter Notebook
My Personal Machine Learning and Data Science Training Repository
machine-learning
timeseries
statistical-learning
regression
statistical-inference
machinelearning
gradient-descent
regression-models
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Mar 17, 2017 - Python
This repository consists of all the LAB exercise from "INTRODUCTION TO STATISTICAL LEARNING WITH APPLICATION IN R" by by Daniela Witten, Gareth James, Robert Tibshirani, and Trevor Hastie. All the Datasets and Chapterwise notes are also present.
learning
application
r
statistics
code
lab
statistical-learning
statistical-methods
statistical-analysis
statistical-inference
statistical
introduction
statistical-data
introduction-to-r
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Nov 7, 2018 - HTML
Predicting Absolute and Relative Abundance by Modeling Efficiency to Derive Intervals and Concentrations
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Jul 6, 2020 - R
Repo for code and small datasets related to Global Policy Lab's COVID-19 policy analysis. Read and share the acompanying article here:
estimate
analysis
stata
statistical-methods
statistical-inference
regression-models
policy-evaluation
statistical-models
statistical-computing
intervention-study
covid-19
codeocean-capsule
epidemiological-data
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Jul 11, 2020 - Jupyter Notebook
Projects completed as part of the springboard curriculum
python
sql
scikit-learn
machine-learning-algorithms
statistical-methods
eda
data-visualization
statistical-analysis
statistical-inference
data-analysis
statistical-tests
statistical-models
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Jun 15, 2020 - Jupyter Notebook
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The documentation of some classes/methods is severely lacking. Here's a list of methods that needs more detailed documentation as has been pointed out by users:
TabularCPDdoesn't clearly specify what the arguments are expected to be. Ref: #1036TabularCPDmethods need to describe in more detail what each of them does.Returnsection is available in ea