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statistical-inference

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pgmpy / pgmpy

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Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

python statistics statistical-inference bayesian-networks probabilistic-graphical-models causal-inference structure-learning

Updated Aug 22, 2020
Python

ImperialCollegeLondon / covid19model

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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

Updated Jul 20, 2020
Jupyter Notebook

ModernDive_book

moderndive / ModernDive_book

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Updated Aug 5, 2020
HTML

pyhf

scikit-hep / pyhf

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Open

change to standard NLL fit objective

3

lukasheinrich commented Jul 29, 2020

right now we use "twice_nll" as a fit objective and in the test statistic a simple diffence

twice_nll_constrfit - twice_nll_globalfit

but rather we should just to a NLL fit and in the test stat do

2*(nll_constrfit - nll_globalfit)

this will require updating some test reference numbers in the tests

Read more

good first issue help wanted

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Loading json schema via pkgutil

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Check for extraneous tensor casts with "data" handling

Find more good first issues →

cmbant / getdist

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MCMC sample analysis, kernel densities, plotting, and GUI

statistical-inference mcmc kernel-density-estimation sampling-methods contour-plot plotting-in-python

Updated Jul 7, 2020
Python

kingaa / pomp

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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

Updated Sep 3, 2020
R

Mooseburger1 / Springboard-Data-Science-Immersive

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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

Updated Aug 23, 2018
Jupyter Notebook

aschleg / hypothetical

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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

Updated Aug 20, 2020
Python

mrtkp9993 / Statistical-Modeling-Examples

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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

Updated Feb 9, 2020
R

bank-of-england / Shapley_regressions

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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

Updated Mar 8, 2019
Python

spisakt / pTFCE

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Probabilistic Threshold-Free Cluster Enhancement of Neuroimages

statistical-inference neuroimaging fsl tfce cluster-enhancement

Updated Apr 30, 2020
R

JuliaApproxInference / KissABC.jl

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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

Updated Sep 7, 2020
Julia

KChen-lab / Texomer

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Texomer: Integrating Analysis of Cancer Genome and Transcriptome Sequencing Data

statistical-inference functional-variants tcga-data tumor-heterogeneity

Updated Aug 19, 2020
R

msuzen / looper

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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 causal-models meta-learning causal-networks causal-impact causality-algorithms causal-discovery causal-machine-learning

Updated Aug 21, 2020

benkeser / drtmle

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Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests

tmle iptw statistical-inference ensemble-learning causal-inference

Updated Jan 10, 2020
R

wiedenhoeft / HaMMLET

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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

Updated Jan 24, 2020
C++

bolliger32 / gpl-covid

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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

Updated Jul 11, 2020
Jupyter Notebook

learnable-opinion-dynamics

corradomonti / learnable-opinion-dynamics

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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

Updated Jun 2, 2020
Python

bdwilliamson / vimp

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Perform inference on algorithm-agnostic variable importance

machine-learning variable-importance statistical-inference nonparametric-statistics

Updated Jun 18, 2020
R

dwipam / code

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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

Updated Mar 29, 2020
HTML

gsum

buqeye / gsum

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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

Updated Aug 25, 2020
Python

erikfox / wilson-interval

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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

Updated Aug 5, 2020
JavaScript

Abhishekmamidi123 / Regression-Analysis

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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

Updated Mar 4, 2019

statdivlab / paramedic

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Predicting Absolute and Relative Abundance by Modeling Efficiency to Derive Intervals and Concentrations

bayesian-methods statistical-inference stan microbiome-analysis

Updated Jul 6, 2020
R

fchamroukhi / SaMUraiS

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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

Updated Jan 22, 2020
R

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

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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

Updated Aug 18, 2019
Jupyter Notebook

inboxpraveen / Introduction_to_Statistical_learning_with_Application_in_R_LAB

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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

Updated Nov 7, 2018
HTML

SajadAzami / Machine-Learning-Training

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My Personal Machine Learning and Data Science Training Repository

machine-learning timeseries statistical-learning regression statistical-inference machinelearning gradient-descent regression-models

Updated Mar 17, 2017
Python

ocramz / bayesian-inference

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machine-learning statistical-learning inference statistical-inference machine-learning-library bayesian-inference bayesian-statistics approximate-bayesian-computation approximate-inference

Updated Jan 20, 2020
Haskell

tej22 / Projects

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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

Updated Jul 25, 2020
Jupyter Notebook

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