Topic: statistical-inference Goto Github
Some thing interesting about statistical-inference
Some thing interesting about statistical-inference
statistical-inference,A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
User: aangelopoulos
statistical-inference,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.
User: abhishekmamidi123
statistical-inference,Official AFNI source and documentation
Organization: afni
Home Page: https://afni.nimh.nih.gov/pub/dist/doc/htmldoc/
statistical-inference,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.
User: ankitbit
statistical-inference,Hypothesis and statistical testing in Python
User: aschleg
statistical-inference,Statistical inference on machine learning or general non-parametric models
Organization: bank-of-england
statistical-inference,Perform inference on algorithm-agnostic variable importance
User: bdwilliamson
Home Page: http://bdwilliamson.github.io/vimp/
statistical-inference,Perform inference on algorithm-agnostic variable importance in Python
User: bdwilliamson
Home Page: https://pypi.org/project/vimpy/
statistical-inference,Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
User: benkeser
Home Page: https://benkeser.github.io/drtmle/
statistical-inference,My Code Repository for Coursera Data Science Specialization by John Hopkins University
User: benthecoder
Home Page: https://benthecoder.github.io/JohnHopkinsDataScience/
statistical-inference,A Bayesian model of series convergence using Gaussian sums
Organization: buqeye
Home Page: https://buqeye.github.io/gsum
statistical-inference,Matlab toolbox for polyenergetic quantitative (polyquant) X-ray CT reconstruction with demos.
User: cimentaur
statistical-inference,MCMC sample analysis, kernel densities, plotting, and GUI
User: cmbant
statistical-inference,DRAM error-correction code (ECC) simulator incorporating statistical error properties and DRAM design characteristics for inferring pre-correction error characteristics using only the post-correction errors. Described in the 2019 DSN paper by Patel et al.: https://people.inf.ethz.ch/omutlu/pub/understanding-and-modeling-in-DRAM-ECC_dsn19.pdf.
Organization: cmu-safari
statistical-inference,Code and data for the CIKM2021 paper "Learning Ideological Embeddings From Information Cascades"
User: corradomonti
statistical-inference,Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"
User: corradomonti
statistical-inference,statespacer: State Space Modelling in R
User: dylanb95
Home Page: https://dylanb95.github.io/statespacer/
statistical-inference,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.
User: ehsanx
Home Page: https://ehsanx.github.io/TMLEworkshop/
statistical-inference,A comprehensive module used to calculate the high bound, low bound, and center of a Wilson score interval.
User: erikfox
Home Page: https://www.npmjs.com/package/wilson-interval
statistical-inference,StAtistical Models for the UnsupeRvised segmentAion of tIme-Series
User: fchamroukhi
statistical-inference,Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
User: francescoalemanno
statistical-inference,An R package providing a GUI ('shiny' app) for the R package 'brms'.
User: fweber144
Home Page: https://fweber144.github.io/shinybrms/
statistical-inference,Cegpy (/segpaɪ/) is a Python package for working with Chain Event Graphs. It supports learning the graphical structure of a Chain Event Graph from data, encoding of parametric and structural priors, estimating its parameters, and performing inference.
User: g-walley
statistical-inference,Repo for code and small datasets related to Global Policy Lab's COVID-19 policy analysis. Read and share the acompanying article here:
Organization: global-policy-lab
Home Page: https://rdcu.be/b4Iyo
statistical-inference,Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras
User: gmgeorg
statistical-inference,Code for modelling estimated deaths and cases for COVID19.
Organization: imperialcollegelondon
statistical-inference,Confidence bands for simultaneous statistical inference
User: junyuan-chen
statistical-inference,Texomer: Integrating Analysis of Cancer Genome and Transcriptome Sequencing Data
Organization: kchen-lab
statistical-inference,R package for statistical inference using partially observed Markov processes
User: kingaa
Home Page: https://kingaa.github.io/pomp
statistical-inference,Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.
User: mauricelanghinrichs
statistical-inference,R package for calculation of standard and bootstrap confidence intervals
User: mayer79
Home Page: https://mayer79.github.io/confintr/
statistical-inference,A MATLAB package for multivariate permutation testing and effect size measurement
User: mickcrosse
Home Page: https://arxiv.org/abs/2401.09401
statistical-inference,Streamline a data analysis process
User: mikenguyen13
Home Page: https://bookdown.org/mike/data_analysis/
statistical-inference,My Solutions to 120 commonly asked data science interview questions.
User: milaan9
statistical-inference,Ambrosia is a Python library for A/B tests design, split and result measurement
Organization: mobiletelesystems
statistical-inference,Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Organization: moderndive
Home Page: https://www.moderndive.com/
statistical-inference,Basic statistical modelling examples.
User: mrtkp9993
statistical-inference,A resource list for causality in statistics, data science and physics
User: msuzen
statistical-inference,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.
Organization: opensourceeconomics
Home Page: https://estimagic.readthedocs.io/
statistical-inference,Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Organization: pgmpy
Home Page: https://pgmpy.org/
statistical-inference,This repository contains code reproducing an existing method to detect atrial fibrillation using empirical mode decomposition of signals. This was a lecture that I gave for graduate-level BioSignal Processing course.
User: prash030
statistical-inference,Statistics tools and utilities.
Organization: scikit-hep
Home Page: https://scikit-hep.org/hepstats/
statistical-inference,pure-Python HistFactory implementation with tensors and autodiff
Organization: scikit-hep
Home Page: https://pyhf.readthedocs.io/
statistical-inference,Probabilistic Threshold-Free Cluster Enhancement of Neuroimages
User: spisakt
Home Page: https://spisakt.github.io/pTFCE/
statistical-inference,Predicting Absolute and Relative Abundance by Modeling Efficiency to Derive Intervals and Concentrations
Organization: statdivlab
Home Page: https://statdivlab.github.io/paramedic/
statistical-inference,[TNNLS 2022] Significance tests of feature relevance for a black-box learner
User: statmlben
Home Page: https://dnn-inference.readthedocs.io
statistical-inference,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.
User: suneelpatel
statistical-inference,Generalized Additive Models in Python.
User: tommyod
statistical-inference,Fast Bayesian Hidden Markov Model with Wavelet Compression
User: wiedenhoeft
Home Page: http://wiedenhoeft.github.io/HaMMLET/
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