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Questions tagged [statistical-sampling]

33 questions
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What does it mean to have a transient state or a transient phase in an Ising model?

I downloaded a simple implementation of the Ising model in C# from this link. I have understood more or less the entire code except the following routine: private static void transient_results(double T) { for (int a = 1; a <=…
user366312
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Math overflow error in scipy Anderson-Darling test for k-samples

I would like to compare pairs of samples with both Kolmogorov-Smirnov (KS) and Anderson-Darling (AD) tests. I implemented this with scipy.stats.ks_2samp and scipy.stats.anderson_ksamp respectively. I would expect a low statistic for similar samples…
michael
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Sample to Create Uniform Distribution from Non-Uniform Data

Given a dataset with a non-uniform distribution (highly peaked) I want to resample to create a new dataset with an approximately uniform distribution. My approach: Divide the data into bins. Target bin level = Smallest number of samples per bin,…
Ron Cohen
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Evaluating the resulted simulated data

I am simulating data using the Rejection method where the density function of X is given by f(x)= C * e^(x) for all x in [0,1]. I defined g(x) = 1 and C to be the maximum of f(x) which is equal to 1/(e-1). I used the following code to simulate…
adam
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Turing.jl estimators show proposal will be rejected due to numerical errors

Model in Turing.jl seems to be stuck in errors with Warning: The current proposal will be rejected due to numerical error(s). │ isfinite.((θ, r, ℓπ, ℓκ)) = (true, false, false, false) for NUTS(), HMCDA() and sometimes HMC() sampling methods. I…
Kevin
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How to implement rejection sampling in R?

I have a dataset of rows of genes each with their gene length, I am looking to sample from these genes by their gene length distribution using rejection sampling - as I have too many genes in this dataset that are too small to enter further analysis…
DN1
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PyMC3 Bayesian Inference with NUTS initialization

I'm trying to implement a simple Bayesian Inference using a ODE model. I want to use the NUTS algorithm to sample but it gives me an initialization error. I do not know much about the PyMC3 as I'm new to this. Please take a look and tell me what is…
Arjun Devdas
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Multiple sampling inside an R function

I am trying to make a function that in the end will run multiple machine learning algorithms on my data set. I have the first little bit of my function below and a small sample of data. The problem i am running into is with sampling my data into…
Clinton Woods
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How to take a Probability Proportional to Size (PPS) Unequal Probability sample using R?

I have very little programming experience, but I'm working on a statistics project and would like to generate an unequal probability sample where the inclusion probability of a unit is based on its size (PPS). Basically, I have two datasets: ds1…
Jessica Wu
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Acceptance-rejection for beta distribution R code

I’m using the acceptance-rejection method for beta distribution with g(x) = 1, 0 ≤ x ≤ 1. The function is: f(x) = 100x^3(1-x)^2. I want to create an algorithm to generate data from this density function. How can I estimate P(0 ≤ X ≤ 0.8) with k =…
Mark
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Random sampling without replacement in longitudinal data

My data is longitudinal. VISIT ID VAR1 1 001 ... 1 002 ... 1 003 ... 1 004 ... ... 2 001 ... 2 002 ... 2 003 ... 2 004 ... Our end goal is picking out 10% each visit to run a test. I tried to use proc…
Sailynette Garcia
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Finding dirichlet priors of a dataset with PyMC3

How to find the dirichlet priors using pymc3? I've tried the following: import pymc3 as pm import numpy as np population = [139212, 70192, 50000, 21000, 16000, 5000, 2000, 500, 600, 100, 10, 5, 5, 5, 5] with pm.Model() as model: zipfy =…
alvas
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Implementation of a multigrid Montecarlo algorithm for a 2D Ising model

In the paper "Monte Carlo Methods in Statistical Mechanics: Fundation and New Algorithms", the author A.D. Sokal explain how to merge the Montecarlo Markov Chain algorithmic approach with the multigrid one. Summarily the author explains firstly the…
pter26
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Is there any difference between using WeightedRandomSampler with a big num_samples or doing more epoch with a num_samples lower?

I don't understand when the sampling is make: Does the first mini batch will be the same for each epoch? Or there no difference at all?
Fractale
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How to solve error "Too few observations." when using ROSE to balancing data in R?

I try to use ROSE library on R to rebalancing target variable in my dataset. Here is my information of my dataset. My original dataset have total 132056 records. There are total 279 cases (0.21%) of minor class in target variable. There are total…
Hattori
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