An open API service providing repository metadata for many open source software ecosystems.

Topic: "statistical-inference"

ImperialCollegeLondon/covid19model

Code for modelling estimated deaths and cases for COVID19.

Language: Stan - Size: 64.8 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 944 - Forks: 272

moderndive/ModernDive_book

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

Language: HTML - Size: 1.35 GB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 771 - Forks: 501

scikit-hep/pyhf

pure-Python HistFactory implementation with tensors and autodiff

Language: Python - Size: 55.9 MB - Last synced at: 3 days ago - Pushed at: 13 days ago - Stars: 288 - Forks: 87

msuzen/looper

A resource list for causality in statistics, data science and physics

Size: 789 KB - Last synced at: 17 days ago - Pushed at: 28 days ago - Stars: 264 - Forks: 33

aangelopoulos/ppi_py

A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

Language: Python - Size: 5.89 MB - Last synced at: about 11 hours ago - Pushed at: 5 months ago - Stars: 236 - Forks: 19

MobileTeleSystems/Ambrosia

Ambrosia is a Python library for A/B tests design, split and result measurement

Language: Python - Size: 10.4 MB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 232 - Forks: 17

milaan9/DataScience_Interview_Questions

My Solutions to 120 commonly asked data science interview questions.

Language: Jupyter Notebook - Size: 2.36 MB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 220 - Forks: 179

afni/afni

Official AFNI source and documentation

Language: C - Size: 146 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 170 - Forks: 110

cmbant/getdist

MCMC sample analysis, kernel densities, plotting, and GUI

Language: Python - Size: 69.5 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 164 - Forks: 54

kingaa/pomp

R package for statistical inference using partially observed Markov processes

Language: R - Size: 1.01 GB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 114 - Forks: 27

scikit-hep/hepstats

Statistics tools and utilities.

Language: Python - Size: 64.9 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 75 - Forks: 17

mikenguyen13/data_analysis

Streamline a data analysis process

Language: HTML - Size: 2.92 GB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 73 - Forks: 40

aschleg/hypothetical

Hypothesis and statistical testing in Python

Language: Python - Size: 853 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 64 - Forks: 10

Mooseburger1/Springboard-Data-Science-Immersive

Language: Jupyter Notebook - Size: 206 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 63 - Forks: 24

moshafieeha/UT-ECE-Student-Resources

A curated list of valuable resources from our studies at the University of Tehran (UT), School of Electrical and Computer Engineering (ECE)

Size: 217 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 56 - Forks: 3

mrtkp9993/Statistical-Modeling-Examples

Basic statistical modelling examples.

Language: R - Size: 5.16 MB - Last synced at: 11 days ago - Pushed at: 11 months ago - Stars: 42 - Forks: 17

bank-of-england/Shapley_regressions

Statistical inference on machine learning or general non-parametric models

Language: Python - Size: 38.6 MB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 42 - Forks: 14

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.

Language: Jupyter Notebook - Size: 244 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 36 - Forks: 13

spisakt/pTFCE

Probabilistic Threshold-Free Cluster Enhancement of Neuroimages

Language: R - Size: 42.1 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 35 - Forks: 6

corradomonti/learnable-opinion-dynamics

Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"

Language: Python - Size: 3.48 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 31 - Forks: 7

francescoalemanno/KissABC.jl

Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation

Language: Julia - Size: 2.98 MB - Last synced at: 14 days ago - Pushed at: about 2 years ago - Stars: 29 - Forks: 8

bdwilliamson/vimp

Perform inference on algorithm-agnostic variable importance

Language: R - Size: 14.1 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 24 - Forks: 8

benthecoder/JohnHopkinsDataScience

My Code Repository for Coursera Data Science Specialization by John Hopkins University

Language: HTML - Size: 133 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 22 - Forks: 13

cimentaur/polyquant

Matlab toolbox for polyenergetic quantitative (polyquant) X-ray CT reconstruction with demos.

Language: MATLAB - Size: 167 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 21 - Forks: 4

bdwilliamson/vimpy

Perform inference on algorithm-agnostic variable importance in Python

Language: Python - Size: 407 KB - Last synced at: 13 days ago - Pushed at: about 3 years ago - Stars: 20 - Forks: 5

SRSWTI/axis

AI eXplainable Inference & Search. Open Sourcing on-premise, ultra-fast latency intelligence to all.

Size: 66.4 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 19 - Forks: 2

benkeser/drtmle

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

Language: R - Size: 3 MB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 7

KChen-lab/Texomer

Texomer: Integrating Analysis of Cancer Genome and Transcriptome Sequencing Data

Language: R - Size: 32.9 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 19 - Forks: 8

statmlben/dnn-inference

Significance tests of feature relevance for a black-box learner

Language: Python - Size: 568 MB - Last synced at: about 24 hours ago - Pushed at: 10 months ago - Stars: 18 - Forks: 4

mayer79/confintr

R package for calculation of standard and bootstrap confidence intervals

Language: R - Size: 875 KB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 17 - Forks: 2

tommyod/generalized-additive-models

Generalized Additive Models in Python.

Language: Python - Size: 560 KB - Last synced at: 19 days ago - Pushed at: 6 months ago - Stars: 17 - Forks: 0

wiedenhoeft/HaMMLET

Fast Bayesian Hidden Markov Model with Wavelet Compression

Language: C++ - Size: 2.52 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 17 - Forks: 4

gmgeorg/pypsps

Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras

Language: Jupyter Notebook - Size: 5.54 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 16 - Forks: 1

mickcrosse/PERMUTOOLS

A MATLAB package for multivariate permutation testing and effect size measurement

Language: MATLAB - Size: 1.75 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 16 - Forks: 2

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:

Language: Jupyter Notebook - Size: 381 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 16 - Forks: 13

DylanB95/statespacer

statespacer: State Space Modelling in R

Language: R - Size: 4.52 MB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 7

statdivlab/paramedic

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

Language: R - Size: 120 MB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 14 - Forks: 1

sdtemple/isweep

Statistical inference of recent positive selection using IBD segments

Language: Jupyter Notebook - Size: 802 MB - Last synced at: 8 days ago - Pushed at: 2 months ago - Stars: 13 - Forks: 0

mauricelanghinrichs/ABCdeZ.jl

Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.

Language: Julia - Size: 894 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 12 - Forks: 1

buqeye/gsum

A Bayesian model of series convergence using Gaussian sums

Language: Python - Size: 73.1 MB - Last synced at: 21 days ago - Pushed at: almost 2 years ago - Stars: 12 - Forks: 2

fchamroukhi/SaMUraiS

StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

Language: R - Size: 10.8 MB - Last synced at: 14 days ago - Pushed at: over 5 years ago - Stars: 11 - Forks: 1

g-walley/cegpy

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.

Language: Python - Size: 7.06 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 10 - Forks: 3

fweber144/shinybrms

An R package providing a GUI ('shiny' app) for the R package 'brms'.

Language: R - Size: 28.9 MB - Last synced at: 18 days ago - Pushed at: 4 months ago - Stars: 10 - Forks: 1

Abhishekmamidi123/Regression-Analysis

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.

Size: 1.69 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 10 - Forks: 9

CMU-SAFARI/EINSim

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.

Language: C++ - Size: 19 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 2

prash030/Atrial_fibrillation_detection_EMD

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.

Language: MATLAB - Size: 1.84 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 0

ankitbit/Advanced_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.

Language: HTML - Size: 4.91 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 9 - Forks: 7

awslabs/cis-matching-tasks

A package for constructing confidence intervals for error rates in matching tasks such as 1:1 face and speaker verification.

Language: Python - Size: 644 KB - Last synced at: 8 days ago - Pushed at: 11 months ago - Stars: 8 - Forks: 0

erikfox/wilson-interval

A comprehensive module used to calculate the high bound, low bound, and center of a Wilson score interval.

Language: JavaScript - Size: 447 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0

junyuan-chen/ConfidenceBands.jl

Confidence bands for simultaneous statistical inference

Language: Julia - Size: 58.6 KB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 1

corradomonti/ideological-embeddings

Code and data for the CIKM2021 paper "Learning Ideological Embeddings From Information Cascades"

Language: Python - Size: 6.91 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 2

americocunhajr/MaxEnt

MaxEnt is a Matlab toolbox for the calculation of maximum entropy distributions and the corresponding statistical samples from a given set of known information.

Language: MATLAB - Size: 1.2 MB - Last synced at: 25 days ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 2

spatstat/spatstat.linnet

Sub-package of spatstat containing code for linear networks

Language: R - Size: 801 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 7 - Forks: 2

kingaa/PartiallyObservedMarkovProcesses.jl

pomp in Julia

Language: Julia - Size: 15 MB - Last synced at: 27 days ago - Pushed at: 4 months ago - Stars: 7 - Forks: 1

dwipam/code

Some collection of codes that are used in data mining and data science related fields, developed by me

Language: HTML - Size: 175 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 6

ocramz/bayesian-inference

Language: Haskell - Size: 113 KB - Last synced at: 27 days ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 1

spatstat/spatstat.core

sub-package of spatstat containing core functionality for data analysis and modelling

Language: R - Size: 3.83 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 6 - Forks: 9

Mamba413/cope

Off-Policy Interval Estimation withConfounded Markov Decision Process

Language: Python - Size: 3.14 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 4

ehsanx/TMLEworkshop

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.

Language: HTML - Size: 21.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 2

memgonzales/pisa-2018-analysis

Jupyter notebook presenting the process of data preparation, research question formulation, data analysis, and data modeling with the goal of extracting insights from the 2018 PISA Dataset

Language: Jupyter Notebook - Size: 3.02 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0

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: HTML - Size: 23.1 MB - Last synced at: 10 months ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 2

fchamroukhi/FLaMingos

Functional Latent datA Models for clusterING heterogeneOus curveS

Language: R - Size: 14.1 MB - Last synced at: 16 days ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 1

spatstat/spatstat.model

Sub-package of spatstat containing functionality for parametric modelling and inference

Language: R - Size: 1.45 MB - Last synced at: 29 days ago - Pushed at: 30 days ago - Stars: 5 - Forks: 1

pavlakrotka/NCC

:package: NCC: Simulation and analysis of platform trials with non-concurrent controls

Language: R - Size: 17.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 5 - Forks: 3

bdwilliamson/spvim_supplementary 📦

Reproduce analyses from "Efficient nonparametric statistical inference on population feature importance using Shapley values"

Language: Python - Size: 929 KB - Last synced at: 7 months ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 1

Pakillo/stats-intro

Introduction to statistical inference

Language: RMarkdown - Size: 39.2 MB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 4 - Forks: 1

greg1997-dev/Prob_and_Stats

Probability and Statistics Course given at Universidad Panamericana.

Language: R - Size: 1010 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

paulnorthrop/chandwich

Chandler-Bate Sandwich Loglikelihood Adjustment

Language: R - Size: 2.35 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1

GilesStrong/pytorch_inferno

PyTorch implementation of inference aware neural optimisation (de Castro and Dorigo, 2018 https://www.sciencedirect.com/science/article/pii/S0010465519301948)

Language: Jupyter Notebook - Size: 30.8 MB - Last synced at: 13 days ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

lgleim/SchemaTreeRecommender

A property recommender for Knowledge Graph authoring, first presented at ESWC 2020

Language: Jupyter Notebook - Size: 190 MB - Last synced at: 11 months ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 3

hendersontrent/QuasiGLM.jl

Adjust Poisson and Binomial Generalised Linear Models to their quasi equivalents for dispersed data

Language: Julia - Size: 26.4 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

SajadAzami/Machine-Learning-Training

My Personal Machine Learning and Data Science Training Repository

Language: Python - Size: 7.03 MB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 4 - Forks: 2

kindo-tk/VIT_winter_sem

This repository contains all lab work and digital assessments from the Winter Semester of my M.Sc. Data Science program at VIT Vellore. Projects span across machine learning, data mining, statistical inference, time series analysis, data visualization, and Java programming—implemented using tools like Python, R, Power BI, Tableau, Excel, and Java

Language: Jupyter Notebook - Size: 68.4 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 3 - Forks: 0

sabato-nocera/distribuzione-di-poisson

📊📉 Studio della variabile aleatoria di Poisson

Language: R - Size: 12.7 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 3 - Forks: 0

SubconsciousCompute/SysCall-IDS

Intrusion detection pipeline leveraging statistical syscall sequence modeling techniques

Language: Jupyter Notebook - Size: 24.1 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 1

quinfer/fml

An R-package of teaching financial machine learning

Language: CSS - Size: 10 MB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

BehroozRazeghi/Bottlenecks-CLUB

Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs among Complexity, Leakage, and Utility

Language: Jupyter Notebook - Size: 14.2 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

s3alfisc/CRV3J

Fast CRV3 Jackknife after MacKinnon, Nielsen & Webb (2022)

Language: R - Size: 31.3 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

srikhetramohanty/Data-Science-Portfolio

This is a repository created in line with my understanding & implementation of the major complex ideas in Machine Learning & Inferential Statistics while working as a data science professional in the industry.

Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 2

fchamroukhi/MEteorits

Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS

Language: R - Size: 28.3 MB - Last synced at: 24 days ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 2

hairo1421/Maestria-Computo-Estadistico

Maestria-Computo-Estadistico CIMAT 2018-2019

Language: HTML - Size: 99.6 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 4

justachetan/statistical-inference

A repository containing all the assignments prepared for the course MTH372 Statistical Inference taken by Dr. Monika Arora at IIIT Delhi Winter 2019

Language: R - Size: 7.38 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 1

sudhamstarun/Costa-Rican-Household-Poverty-Level-Prediction

Identifying which households in Costa Rica have the highest need for social welfare assistance

Language: HTML - Size: 17.1 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 5

thibaudcolas/statistical-inference

A little exploration of R's power for statistical inference

Language: Python - Size: 384 KB - Last synced at: 5 days ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 1

ramtinz/ramtinz

Size: 402 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 2 - Forks: 0

amazon-science/ssepy

Python package for stratifying, sampling, and estimating model performance with fewer annotations.

Language: Python - Size: 381 KB - Last synced at: 15 days ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

elmomoilanen/Bootstrap-sampling-distribution

Use bootstrap resampling to estimate the sampling distribution of a statistic

Language: Python - Size: 346 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

GVourvachakis/Gamma_distribution_aware_MDS-based_heuristic_algorithm

A Distribution Aware MDS-based Heuristic Algorithm for Large-Scale Data Dimensionality Reduction

Language: Jupyter Notebook - Size: 354 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 1

jeancmaia/mcglm

Python Framework for Multivariate Covariance Generalized Linear Models

Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: 4 days ago - Pushed at: 11 months ago - Stars: 2 - Forks: 1

carolinaemanuele/Smoke-Detection-IoT-Kaggle

A descriptive and inferential statistical analysis from the Kaggle database on the data collected by an IoT smoke detection device. Machine learning techniques were also used to help build this smart device, increasing its accuracy.

Language: Jupyter Notebook - Size: 3.46 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

melmasri/traveltimeCLT Fork of AdrienHdz/traveltimeCLT

Estimating route conditional travel time and its uncertainty.

Language: R - Size: 36.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

iSiddharth20/DeepLearning-ImageClassification-Toolkit

End-to-end Image Classification using Deep Learning toolkit for custom image datasets. Features include Pre-Processing, Training with Multiple CNN Architectures and Statistical Inference Tools. Special utilities for RAM optimization, Learning Rate Scheduling, and Detailed Code Comments are included.

Language: Jupyter Notebook - Size: 1.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

kalhorghazal/Advisor-Student-Data

👩‍🎓 Dataset of the paper published in EPJ Data Science

Size: 714 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

adamlilith/enmSdmPredImport 📦

Testing methods for measuring variable importance in species distribution models

Language: R - Size: 96.5 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

Mudit19258/Statistical-Inference

This repository contains the assignments of course Statistical Inference (MTH372) of IIIT Delhi, taught by Dr. Monika Arora in the Monsoon Semester 2021. It does not aim to infringe on the plagiarism policy of IIIT Delhi in any way, but to be maintained for future use only.

Language: R - Size: 1.96 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

jajokine/Statistics-Analysis

MITx - MicroMasters Program on Statistics and Data Science - Data Analysis: Statistical Modeling and Computation in Applications - First Project

Language: Jupyter Notebook - Size: 2.52 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

jemil-butt/kernel_inference

Python code for kernel inference - optimal estimation of covariance functions

Language: Python - Size: 11.3 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

SteixnerKumar/Bayesian_Cognitive_Modeling

Exercises from the Bayesian Cognitive Modeling book by Lee and Wagenmakers implemented in R and Stan.

Language: HTML - Size: 17.8 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

nstarman/jas1101_project

Investigating IMBHs in MW GCs.

Language: Jupyter Notebook - Size: 235 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

ashutoshtiwari13/Statistical-Learning-Hub

Attempting to make Statistics for Machine Learning easy to learn and understand

Language: HTML - Size: 207 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

Related Topics
statistics 80 r 57 statistical-analysis 55 machine-learning 50 data-science 41 python 34 statistical-models 33 hypothesis-testing 31 data-visualization 31 statistical-learning 29 statistical-tests 24 data-analysis 21 linear-regression 19 bayesian-inference 17 exploratory-data-analysis 17 confidence-intervals 15 probability 14 statistical-methods 14 bayesian-statistics 12 causal-inference 12 deep-learning 10 bootstrap 10 statistics-course 10 regression-analysis 10 data 9 r-programming 9 ab-testing 8 artificial-intelligence 8 sql 8 time-series 7 regression 7 visualization 7 jupyter-notebook 7 python3 7 neural-networks 7 time-series-analysis 7 confidence-interval 6 em-algorithm 6 pandas 6 tensorflow 6 anova 6 regression-models 6 machine-learning-algorithms 6 data-mining 6 multiple-linear-regression 6 optimization 6 inferential-statistics 6 uncertainty-quantification 5 inference 5 unsupervised-learning 5 r-package 5 stan 5 data-cleaning 5 logistic-regression 5 julia 5 data-analytics 5 parameter-estimation 5 ggplot2 5 rstudio 5 nonparametric-statistics 5 maximum-likelihood-estimation 5 probabilistic-models 5 stochastic-processes 4 frequentist-statistics 4 reinforcement-learning 4 tidyverse 4 causal-discovery 4 analysis 4 eda 4 bayesian-methods 4 probability-distribution 4 causality 4 physics 4 matplotlib 4 r-language 4 bayesian-data-analysis 4 markov-model 4 model-selection 4 econometrics 4 dynamical-systems 4 numpy 4 algorithms 4 java 3 variable-importance 3 nosql 3 causal-models 3 pytorch 3 hmm 3 analytics 3 mcmc 3 data-visualisation 3 likelihood-functions 3 state-space 3 particle-filter 3 rstats 3 numerical-analysis 3 experimental-design 3 sampling-distribution 3 seaborn 3 generalized-linear-models 3