statistical-inference

There are 8 repositories under statistical-inference topic.

pgmpy / pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
python probabilistic-graphical-models bayesian-networks causal-inference statistics statistical-inference structure-learning causality causal-models dag simulation sampling-methods
Language:Python 2612
ImperialCollegeLondon / covid19model
Code for modelling estimated deaths and cases for COVID19.
covid-19 bayesian-statistics renewal-process branching-process intervention-study probabilistic-models statistical-models statistical-inference statistical-computing
Language:Stan 944
ModernDive_book
moderndive / ModernDive_book
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
moderndive data-science tidyverse statistical-inference r ggplot2 infer hypothesis-testing confidence-intervals regression regression-models data-visualization data-wrangling tidy rstudio rstats dplyr bootstrap-method permutation-test
Language:HTML 733
scikit-hep / pyhf
pure-Python HistFactory implementation with tensors and autodiff
high-energy-physics statistical-inference scientific-computations numpy scipy tensorflow pytorch asymptotic-formulas statistics frequentist-statistics cls histfactory python hep hep-ex scikit-hep jax closember
Language:Python 271
msuzen / looper
A resource list for causality in statistics, data science and physics
statistics statistical-inference bayesian-inference causality-analysis causality data-science physics machine-learning causal-inference meta-learning causal-machine-learning causal-models causality-algorithms causation causal-networks statistical-physics statistical-mechanics causal causal-discovery causal-impact
235
OpenSourceEconomics / estimagic
Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to perform statistical inference on estimated parameters.
numerical-differentiation numerical-optimization parallel-computing python statistical-inference
Language:Python 222
MobileTeleSystems / Ambrosia
Ambrosia is a Python library for A/B tests design, split and result measurement
ab-testing experiment-design split-testing statistical-inference statistics
Language:Python 209
milaan9 / DataScience_Interview_Questions
My Solutions to 120 commonly asked data science interview questions.
data-science machine-learning predective-modeling probability statistical-inference data-analysis product-metrics interview-questions interview-preparation tutor-milaan9 python4datascience python-tutorial-github python-jupyter-notebooks
Language:Jupyter Notebook 200
aangelopoulos / ppi_py
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
confidence-interval confidence-intervals inference machine-learning p-value p-values statistical-analysis statistical-inference statistics
Language:Python 165
cmbant / getdist
MCMC sample analysis, kernel densities, plotting, and GUI
kernel-density-estimation plotting-in-python mcmc statistical-inference contour-plot sampling-methods
Language:Python 118
kingaa / pomp
R package for statistical inference using partially observed Markov processes
pomp mathematical-modelling statistical-inference dynamical-systems stochastic-processes state-space markov-model particle-filter likelihood-free likelihood r simulation-modeling time-series abc markov-chain-monte-carlo sequential-monte-carlo sobol-sequence b-spline differential-equations measurement-error
Language:R 105
Mooseburger1 / Springboard-Data-Science-Immersive
python data-science pyspark web-scraping statistical-analysis statistical-inference statistical-modeling deep-learning convolutional-neural-networks deep-neural-networks tensorflow tensorboard opencv nlp time-series-analysis time-series-prediction h5 sql hadoop eda
Language:Jupyter Notebook 63
scikit-hep / hepstats
Statistics tools and utilities.
hep hep-ex python python3 scikit-hep statistical-inference statistics
Language:Python 62
aschleg / hypothetical
Hypothesis and statistical testing in Python
hypothesis python statistics analysis comparison-tests statistical-tests statistics-library statistical-inference inferential-statistics nonparametric-statistics nonparametric-tests frequentist-statistics frequentist-methods hypothesis-testing
Language:Python 59
mikenguyen13 / data_analysis
Streamline a data analysis process
causal-analysis causal-inference causal-models causality data-science data-visualization datascience guide guidebook machine-learning machinelearning statistical-analysis statistical-inference statistical-learning statistical-methods statistics statistics-course r
Language:HTML 58
mrtkp9993 / Statistical-Modeling-Examples
Basic statistical modelling examples.
statistical-analysis statistical-inference statistical-modeling python python3 stan pystan regression-analysis regression-models anova analysis-of-variance pandas matplotlib seaborn r-language r-programming r-markdown
Language:R 40
bank-of-england / Shapley_regressions
Statistical inference on machine learning or general non-parametric models
machine-learning artificial-intelligence artificial-neural-networks statistical-inference statistical-tests non-parametric-inference time-series shapley-decomposition data-analysis simulation-modeling support-vector-machines random-forest
Language:Python 39
suneelpatel / Statistics-for-Data-Science-using-Python
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.
statistics-for-data-science python-statistics data-science statistict-using-python statistical-analysis statistical-inference
Language:Jupyter Notebook 39
spisakt / pTFCE
Probabilistic Threshold-Free Cluster Enhancement of Neuroimages
neuroimaging tfce fsl statistical-inference cluster-enhancement
Language:R 36
learnable-opinion-dynamics
corradomonti / learnable-opinion-dynamics
Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"
expectation-maximization generative-model kdd2020 opinion-dynamics opinion-mining statistical-inference temporal-graphs tensorflow
Language:Python 31
francescoalemanno / KissABC.jl
Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
bayesian-inference approximate-bayesian-computation statistical-inference probabilistic-inference bayesian-data-analysis kissabc julia-language
Language:Julia 29
cimentaur / polyquant
Matlab toolbox for polyenergetic quantitative (polyquant) X-ray CT reconstruction with demos.
reconstruction-toolbox ct-reconstruction statistical-inference poisson-reconstruction matlab-toolbox quantitative-imaging image-processing computed-tomography cone-beam-ct cbct medical-imaging medical-image-computing medical-physics scatter
Language:MATLAB 26
benthecoder / JohnHopkinsDataScience
My Code Repository for Coursera Data Science Specialization by John Hopkins University
data-science data-analysis certificate coursera online-course johns-hopkins-university exploratory-data-analysis data-visualization r tidyverse rstudio statistics rpubs statistical-inference regression-analysis caret
Language:HTML 22
bdwilliamson / vimp
Perform inference on algorithm-agnostic variable importance
statistical-inference machine-learning variable-importance nonparametric-statistics
Language:R 21
bdwilliamson / vimpy
Perform inference on algorithm-agnostic variable importance in Python
statistical-inference machine-learning variable-importance nonparametric-statistics
Language:Python 20
KChen-lab / Texomer
Texomer: Integrating Analysis of Cancer Genome and Transcriptome Sequencing Data
statistical-inference tumor-heterogeneity functional-variants tcga-data
Language:R 20
benkeser / drtmle
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
causal-inference ensemble-learning iptw statistical-inference tmle
Language:R 18
wiedenhoeft / HaMMLET
Fast Bayesian Hidden Markov Model with Wavelet Compression
hmm wavelet-compression wavelet wavelets wavelet-transform genomics genome-analysis genome hidden-markov-model hidden-markov-models segmentation time-series time-series-analysis statistics statistical-inference bayesian-inference bayesian-statistics bayesian-data-analysis machine-learning bioinformatics
Language:C++ 17
DylanB95 / statespacer
statespacer: State Space Modelling in R
cpp dynamic-linear-model forecasting gaussian-models kalman-filter mathematical-modelling r state-space statistical-inference statistical-models structural-analysis time-series
Language:R 15
Global-Policy-Lab / gpl-covid
Repo for code and small datasets related to Global Policy Lab's COVID-19 policy analysis. Read and share the acompanying article here:
covid-19 regression-models stata codeocean-capsule analysis estimate epidemiological-data intervention-study statistical-inference statistical-models statistical-methods statistical-computing policy-evaluation
Language:Jupyter Notebook 15
statmlben / dnn-inference
[TNNLS 2022] Significance tests of feature relevance for a black-box learner
black-box-testing hypothesis-testing significance-testing xai feature-importance feature-selection image-inference statistical-inference statistical-tests
Language:Python 15
gmgeorg / pypsps
Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras
causal-inference causal-le causality causality-algorithms keras multitask-learning neural-networks predictive-modeling propensity-modelling propensity-score-matching representation-learning statistical-inference tensorflow
Language:Jupyter Notebook 13
mayer79 / confintr
R package for calculation of standard and bootstrap confidence intervals
bootstrap confidence-intervals rstats statistics r r-package statistical-inference
Language:R 13
gsum
buqeye / gsum
A Bayesian model of series convergence using Gaussian sums
physics statistics statistical-models statistical-inference bayesian bayesian-inference nuclear-physics field-theory uncertainty-quantification ohio-state-university python
Language:Python 12
statdivlab / paramedic
Predicting Absolute and Relative Abundance by Modeling Efficiency to Derive Intervals and Concentrations
microbiome-analysis statistical-inference bayesian-methods stan
Language:R 12
tommyod / generalized-additive-models
Generalized Additive Models in Python.
data-science gam glm statistical-inference statistical-models statistics
Language:Python 12

statistical-inference

pgmpy / pgmpy

ImperialCollegeLondon / covid19model

moderndive / ModernDive_book

scikit-hep / pyhf

msuzen / looper

OpenSourceEconomics / estimagic

MobileTeleSystems / Ambrosia

milaan9 / DataScience_Interview_Questions

aangelopoulos / ppi_py

cmbant / getdist

kingaa / pomp

Mooseburger1 / Springboard-Data-Science-Immersive

scikit-hep / hepstats

aschleg / hypothetical

mikenguyen13 / data_analysis

mrtkp9993 / Statistical-Modeling-Examples

bank-of-england / Shapley_regressions

suneelpatel / Statistics-for-Data-Science-using-Python

spisakt / pTFCE

corradomonti / learnable-opinion-dynamics

francescoalemanno / KissABC.jl

cimentaur / polyquant

benthecoder / JohnHopkinsDataScience

bdwilliamson / vimp

bdwilliamson / vimpy

KChen-lab / Texomer

benkeser / drtmle

wiedenhoeft / HaMMLET

DylanB95 / statespacer

Global-Policy-Lab / gpl-covid

statmlben / dnn-inference

gmgeorg / pypsps

mayer79 / confintr

buqeye / gsum

statdivlab / paramedic

tommyod / generalized-additive-models