sampling-distribution
There are 44 repositories under sampling-distribution topic.
OutofAi/StableFace
Build your own Face App with Stable Diffusion 2.1
doliinychenko/microcanonical_cooper_frye
Sampling particles on a hypersurface with local event-by-event account of energy, momentum, baryon number, strangeness and charge conservation.
Qazalbash/jaxampler
An open-source JAX-based statistical sampling toolkit 🧪
jchristopherson/fstats
A modern Fortran statistical library.
jmlcode/p2-ab-testing
Analysis of mock A/B Test Results by an e-commerce company. Application of probability, hypothesis testing, sampling distribution, two-sample z-test, and logistic regression to determining whether the company should implement the new web page it developed to increase users' conversion rate
TomMonks/sim-tools
Tools to support the Discrete-Event Simulation process for education and practice.
aifromphytsai/gan_sampling
Tutorial: A simple GAN to generate samples from Gaussian distribution
dwave-examples/reverse-annealing-notebook
Demonstrates reverse annealing on D-Wave quantum computers.
mschiffn/rhombic_grids
Rhombic grids for coherent plane-wave compounding (CPWC) in ultrasound imaging
chen0040/pysie
Package provides python implementation of statistical inference engine
elmomoilanen/Bootstrap-sampling-distribution
Use bootstrap resampling to estimate the sampling distribution of a statistic
Jocelyne-Smith/data-science
Some R and Python code I've been working on.
AlaaNabil98/Analyze-A-B-Test-Results
working to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product.
CS-LEE2022/Analyze_A-B_Test_Results
Applying A/B test to help determing if company should launch the new page
david-thrower/python-rep-resampling
This takes any Pandas or Dask dataframe and returns a resampled Dask dataframe simulating the sampling distribution of your data in one line of code. This is like the rep_sample_n() function from the infer package in R, but on steroids and made for quickly simulating a large number of replicate samples and even with a large number of observations per sample rep. The dataframe it returns consists of 'n' observations per rep, 'rep' number of reps and is grouped by rep. Any aggregate operations you perform such as df['column'].mean().compute() or df['column'].std().compute() will run in parallel by default and give you an pandas series consisting of the means of each sample replicate. You can do most anything on this that you can with a Pandas DataFrame that is grouped by the same column. You just have to add the .compute() method to your method call, because this runs on futures parallelization. See the excerpts in the examples.
dwave-examples/diverse-solutions
Demonstrate techniques that help quantum applications find better, more robust solutions by comparing two generations of D-Wave 2000Q QPUs.
learnwithfair/stat-2-2
Sampling Distribution and Hypothesis testing with [learnwithfair, Learn with fair, Rahatul Rabbi, Md Rahatul Rabbi ,rahatulrabbi]
msramada/Control-Importance-Distribution-Algorithm-CIDA-
This code can be used to reproduce the results in our paper ``A Control Approach for Nonlinear Stochastic State Uncertain Systems with Probabilistic Safety Guarantees''.
queelius/likelihood.model
Likelihood model framework
Usama-Tariq/-Udacity_Analyze-A-B-Test-Results_Project-3_DAND
A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these.
ankitraj1602/FundamentalOfDataAnalysisEdX
R Projects relevant to two part Data Analysis Course. Link to Part 1 and 2 : https://courses.edx.org/courses/course-v1:UTAustinX+UT.7.20x+1T2016/e40867c6134a4731a492e1ab9c5027b3/
EslamSAA/AB-Testing
Understanding the results of an A/B test run by an e-commerce website, to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer. Analyzing the results by probability, hypothesis testing, and regression to reach a conclusion.
proma90/A-B
Analysis of mock A/B Test Results by an e-commerce company.
Rao-Sanjayy/Inferential-Statistics-Using-R
The repository covers some of the key concepts of Inferential Statistics with the help of R.
saikrishnabudi/Basic-Statistics-Level-2
Data Science - Statistics Work Level-2
shikhabajaj569/Basic-Statistics-Level-2
Basic level Statistics Questions
shyammanikandan/Loan_Default_Analysis
Analyze a loan default dataset to understand the factors that contribute to loan defaults.
weichi21/Hypothesis-Testing
Hypothesis Testing, Bootstrap Sampling
ydkristanto/apl-dist-sampling-stat
Aplikasi Shiny untuk mendemonstrasikan distribusi sampling berbagai macam statistik.
zhifanzhu/visualize-rotations
Visualize rotations in SO(3) generated by different methods. https://zhifanzhu.github.io/visualize-rotations/
dwave-examples/anneal-schedule-notebook
Demonstrates configuring the annealing schedule on D-Wave quantum computers.
maciejtarsa/sampling-from-distribution-methods
Exploration of different methods for sampling from distributions using the example of world population
omogbolahan94/Unerstanding-Data-Sampling
This repository is to demonstrate my understanding of the Sampling in Python course on Datacamp.
she-osprey/IPWK3-CORE
Sampling plan for the analysis of the medical income for the different cities. The sample will be used to determine the distribution of the general population among others.
slopezmarcano/skinks-occurrences
Skinks are a commonly observed reptile in Australia. I studied how the occurrence areas of garden skinks from human observation data shifted in ACT from 2005 - 2022; with a close inspection to covid years.
spacebakery/Sampling-Distributions-Dance-Party-Project
Data Science Foundations II | Statistics Fundamentals for Data Science | Sampling for Data Science