Questions tagged [simulation]
The simulation tag has no usage guidance.
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Mplus Monte Carlo Sim w/Covariates
I have an Mplus INP file with which I am running a Monte Carlo sim for a latent class analysis. I have the class solution working properly, but I genuinely cannot figure out how to add in covariates ...
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How to simulate from bivariate time series using VAR in R?
Background
I've run into a problem while trying to simulate from an existing time series using a VAR. My aim is to simulate future "trajectories" which I'd like to integrate in an existing ...
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How should I approach generating recommendations for fish stock management?
I've been asked to "Model and study the size and age composition of fish populations as dynamical systems for a given area and generate recommendations for seasonal fish stock management based on ...
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How to implement a custom loss with a non-mathematical operation (simulation) that backpropagates with PyTorch?
I am writing a Neural Network, which output is not used directly for the loss-function, but rather as the input for a simulation model. After the simulation ran, I am using the simulated_value and the ...
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How do I implement convolution partially on my dataset?
I'm training a neural network on the results of a CFD simulation (or rather, 300-ish simulations with different initial conditions). The dataset contains the values for temperature, density, velocity, ...
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Can you do a power analysis to determine the sample size for a virtual species simulation which is modeled using random forests?
I am simulating virtual species on a 100x100 grid (the size for now). Each grid layer represents one environmental variable. The "suitability function" defines the probability of a presence ...
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simulating a database for teaching
Not sure whether what I’m after is possible, but thought I would ask. I’d like to distribute a randomly created database to my students. I’d like to create, say, 100 binary variables at random, and ...
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Data Leakage (specific case with standardization)
I read a few blog posts and found some books that caution against data leakage when adjusting the training data using any information from the held out datasets. For example, if I were to standardize ...
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Simulate the computing power required to apply a pre-trained model
I am very new to the field of machine learning and hope this question fits here.
Is there a way to generate an estimate of the computational effort required to classify a value using a previously ...
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Comparing time series classification with Hidden Markov Model vs Dynamic Time Warping - which model should I use to generate data?
Copied from Cross Validated
I am writing a thesis which compares two approaches to time series classification: Hidden Markov Models and Dynamic Time Warping combined with 1-NN. I'll apply both ...
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Optimize daily ice cream profit beased on simulation of all combinations input variables
I have an ice cream sales simulator for which I can simulate ice cream sales on any given day in the past. I want to optimize daily profit. The dependent variables for my ice cream shop which I have ...
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Building a simulator for continuous state, discrete action reinforcement learning
I am trying to build a simulator that optimizes the performance and temperature of a device. I want the device to perform well, but without making the device too hot. If the device becomes too hot, I ...
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How to build a simulator for a physical machine given a set of datapoints of its behaviour?
I have a database with millions of datapoints describing the behaviour of a heat pump. For every second, I know various temperature, pressure, mass flow and power measurements as a response to the ...
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Pull Random Numbers from my Data (Python)
Let's imagine I have a series of numbers that represents cash flows into some account over the past 30 days in some time window. This data is non-normal but it does represent some distribution. I ...
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How can I build a simulation environment that assess different risk policies? [closed]
I work in fin-tech and would like to build some sort of simulation program to assess how different inputs will impact net revenue. For example, if we create new policies based on ML scores, how would ...
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What is the difference between domain randomization and data augmentation?
Domain randomization (https://arxiv.org/abs/1703.06907) is used to create a synthetic dataset with enough variance that it will encompass unseen real data, as just one variation.
I am trying to ...
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Understand how to simulate a statistics [closed]
This solution describes how to simulate statistics to find a confidence interval.
A journalist called 1000 people in town to ask who will they be voting for out of candidates A and B.
The observed ...
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Ways to simulate weather data over several periods (Python or R)?
I have a time series dataset that has several variables for a state/province for fixed periods of time. That is for state A, there are samples from April 2017 to July 2019. Of course, I thought adding ...
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Finding similarity between two datasets
I have two datasets. One is actual percentage of white population in counties in an american state and the other is the simulated percentage of white population in counties in an american state.
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Similarity Measure of Simulated Time Series vs Observed time Series
In my work I have an observed Time Series and Simulated ones. I want to compare the Light Curves and check for similarityto find out which simulated curve fits best respectivley which parameters ...
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Similarity Measure Time Series
In my work I have an observed Time Series and Simulated ones. I want to compare the Light Curves and check for similarityto find out which simulated curve fits best respectivley which parameters ...
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How to find out if two datasets are close to each other?
I have the following three datasets.
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Estimating the value of $\pi$ with a Monte Carlo dartboard: $<$ or $\leq$?
I'm trying to figure out which is the proper way to estimate $\pi$ using the Monte Carlo method randomly distributing points in a square that also contains an inscribed circle.
Some sources say to ...
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Testing Multi-Arm Bandits on Historical Data
Suppose I want to test a multi-arm bandit algorithm in the contextual setting on a set of historical data. For simplicity, let's assume there are only two arms A and B and suppose the rewards are ...
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Do you know this S curve's name?
I'm making a ad-sales predictor and try to make it fit by using the S curve's below.
$ 𝑓(𝑥)=𝑎 \frac{𝑏𝑥}{1+𝑏𝑥} (1−𝑒^{−𝑏𝑥}) $
$f(x)$ is an ad-sales
$x$ is an advertise cost
both $a$ and $b$ ...
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Using simulations to train ML algorithms
Possibly similar question: Is it ok to collect data using algorithm to train another?
I have a model that accurately describes an underlying physical, complex, system. The model is basically a set of ...
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What visualization I should choose for Monte Carlo simulations in timeline events?
I wasn't sure if I should open this question in Cross Validated or here. But since the question belongs to a bigger project related with Data Science, I chose this one.
I will present a simplified ...
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Modeling uncertainty from Logistic Regression
Logistic regression is a part in a simulation pipeline that I use for some scenario analysis. The dataset that this is based on is not small but relatively noisy, and only one explanatory variable/...
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Simulating datasets of species abundances with varying degrees of turnover in R
I am working with a data set containing the abundance of 100+ species at 50+ locations over 20+ time-points. I want to simulate equivalent data sets with varying degrees of community turnover i.e. ...
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Visualization of multiple Markov models
I am working on a project where we compare over 10 different Markov models, each representing a different treatment plan.
Most often single models are visualized with a decision tree or transition ...
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Asking a specific question from a general one
Setting
I have data about a board game which has been played multiple times with different players per game (though players reoccur in all kinds of different constellations). During the game one can ...
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Convergence line for oscillating trend
I am working with an algorithm studying the response of a system to an external factor (Phenomenon A). The system can either respond perfectly, or can be completely disrupted.
I am plotting the ...
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How to simulate customer walk-ins for a given period in a fast food chain in R [closed]
I would really appreciate it if someone could tell me where I would start in tackling the following tasks in R.
I'm not a data-science expert and am trying to teach myself data-analysis from a ...
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Matlab simulation through FIS and Markov Process
I need to simulate for an academical project how the traffic fluxes (input/output with respect to a monitored area, measured in number of cars) of a city area evolves in correspondence of an event (i....
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