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Questions tagged [synthetic-data]

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4 views

Should we trust the quality of synthetic data generating from SMOTE or ADASYN?

Real datasets always suffer from imbalance, that why technique like smote and adasyn are invented to generate synthetic data to avoid oversampling or under sampling. But does these synthetic data and ...
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20 views

Does it make sense to use the KL-divergence between joint distributions of synthetic and real data, as a evaluation metric?

The KL-divergence is defined as: $D_{KL}(p(x_1)∥q(x_1))=\sum p(x_1)\, \log \Big( \dfrac{p(x_1)}{q(x_1)} \Big)$ I consider the Kullback-Leibler (KL) divergence as a performance metric for data ...
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21 views

Constrains on the coefficients of SARIMA

I am trying to generate synthetic time-series through SARIMA random process by defining the model coefficients manually. Could any one help me how to generate coefficients? What are the constraints on ...
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14 views

Correlation structures in synthetic experiments

Sorry if this question is too broad. I've noticed that in various statistical articles involving synthetic linear regression experiments, the following similar data generating processes may be ...
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0answers
15 views

How to use Synth for comparative case studies?

I am trying to use synth for a comparative case study. I went through the documentation of the same, read the original research paper but I am still lost on how to actually implement it? which feature ...
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9 views

Create synthetic data based on general description of molecular characteristic for modeling

I have a modeling task that classifies cancer subtype based on several molecular features. However, I do not have raw data of tumor sample to extract these features. All I have are several published ...
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29 views

Does synthpop introduce a bias?

I have created a number of models that are supposed to classify some data to 0 or 1. As an experiment, I want to see what would happen if I had say 3 times as much data. My idea was to generate ...
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0answers
48 views

Generate more data for a small dataset

I have been working on a dataset which has 14 attributes and 303 rows(instances) along with the binary labels. I want to generate more data so that I could train my neural networks so that I could ...
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0answers
34 views

Regression on unevenly distributed high dimensional dataset

I have a very high dimensional (20K+ hand engineered features) biological dataset to predict a single continuous output variable (such as a mental state exam scores for a dementia patient). The output ...
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1answer
40 views

how to synthesize a virtual control arm from multiple historical trials with different treatment in their control arms

We want to synthesize a virtual control arm for a single arm study, and we found two trials with data available that targeting the same population. One trial used Placebo+Standard of care in the ...
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10answers
5k views

Best term for made-up data?

I'm writing an example and have made up some data. I want it to be clear to the reader this is not real data, but I also don't want to give the impression of malice, since it just serves as an ...
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1answer
62 views

Generation of synthetic data for Hierarchical clustering

I wanted to test various hierarchical clustering algorithms to check which algorithm performs best. For this, I was considering simulating some ground truth. Is the possible to generate a correlation ...
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1answer
55 views

Combining treatment units for synthetic control method

Cross-posting this from the Stata forum to increase visibility - but let me know if that's an issue! I am thinking about using the synthetic control method to evaluate an intervention that took place ...
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0answers
48 views

Using Synthetic Data Based on Real Data for Classification

The goal is to classify three different cell types based on certain features (e.g. area, shape tensor etc.). However the amount of labelled training data I have is very small. Therefore, it was ...
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1answer
29 views

Synthetic Control Method with Correlated Variables

I am interested in using the Synthetic Control Method to measure the effects of a certain policy. I am afraid that the synthetic control will not be accurate because the underlying variables that make ...
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0answers
65 views

Creating synthetic data from existing data

I have data with 8 features and 900 rows each. Those features are dependent on each other in some way. I want to conduct machine learning, but the data size is small. I was suggested to generate ...
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0answers
97 views

Generating Correlated Random Variables following Weibull Distribution

I am working on analyzing power generation from geographically distributed wind farms. I have wind speed data that have been collected at multiple locations, but the measurement periods for different ...
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1answer
23 views

Sample whole number from distribution with average less than 1

I am trying to create some simulated data, where for each participant, the average number of events that occur in a given week can be any positive number, but usually in the range of 0 to 5. Trouble ...
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0answers
92 views

Handling imbalanced data for classification [duplicate]

What are the best ways to deal with imbalanced datasets for classifying whether or not individuals pay their tuition? The data is 75% positive class (paid) and 25% negative (unpaid). Some approaches I ...
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0answers
2k views

“Add White Gaussian Noise with SNR” vs. “Add 5% Gaussian Noise”

I have a noise-free dataset which is a vector of numbers, $\mathbf{d}$, with length $N$. I want to "add noise" to this data. My understanding is that there are two ways to do this. 1) Add some ...
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1answer
278 views

Creating an Imbalanced Dataset

I would like to have my trained model tested on an imbalanced dataset. Is there any algorithms available to generate synthetic data from a balanced labelled dataset (spam/non-spam)?
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89 views

Methods for generating regression data whose target follows an arbitrary distribution

I'd like to generate a regression dataset (independent vars that combine somehow into a target or dependent variable). Generating such a dataset is, in general, easy: we can e.g. pick some $x_i$ at ...
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0answers
45 views

Is it possible to use a time series to construct a synthetic control variable?

Imagine I want to reconstruct a counterfactual euro-dollar exchange rate in 2010 using a synthetic control variable to assess the impact of some policy. Could I use, for example, the exchange rates ...
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1answer
253 views

Generalizing “Causal Impact” synthetic controls, to multiple outcomes

Does anybody know a way to generalize the use of the Causal Impact google R package to multiple outcome time series? Say I ran a time series experiment and was able to set up multiple test outcome ...
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1answer
318 views

Generating synthetic data for robust regression?

I was running some test to see the benefits of using robust regression over ols. For that purposes, I created synthetic data in the following manner, A is the ...
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2answers
125 views

Generating a synthetic dataset from a latent class model

In latent class analysis, the estimated model paramters are class sizes and item-response probablities in each class. Based on these basic parameters, is it possible to generate a synthetic sample ...
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0answers
47 views

How to evaluate whether the mean of the synthetic time series is statistically equal to the historical mean

I am testing a stochastic model that generates synthetic hydrologic time series (five-year series, 60(month) data points). I want to evaluate whether these synthetic time series have the same ...
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0answers
45 views

Using fake datasets to optimize a model

I have a machine learning application I'm working on that will make predictions based on data about retail stores. Problem is, any data collected by BI regarding the performance of a given retail ...
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1answer
27 views

Generating a matrix so that correlations amongst columns are close to pre-defined values

I want to generate a matrix of values such that the correlations (e.g., Pearsons correlations) are close to a pre-defined set of values (e.g., ...
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1answer
88 views

Over-fitting because of Artificial Synthesis of Data

In the process of artificial data synthesis in Machine Learning applications, when we introduce noise to generate new data, is it possible that overfitting can occur because we are essentially ...
5
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0answers
83 views

Is it possible to determine if a dataset is real or randomly generated?

I've been tasked with developing regression and classification models for time series data. For each observation I have a continuous target for regression and a discrete target for classification. I'...
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0answers
153 views

When to use synthetic data and when to use regularization parameters to avoid the over fitting and which is better?

Can anyone explain me when to consider generating the synthetic data or when to consider regularization parameters to reduce the error so the machine learning model will not overfit
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1answer
45 views

Synthetic Control when leaving treatment

I'm trying to do a comparative analysis using synthetic control to compare a country that went from a dictatorship to democracy to it's dictatorial synthetic twin. As I understand it, synthetic ...
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0answers
23 views

Validating decomposition of Synthetic Tensor generated from Unevenly Sampled Tensor

I have a 3-way tensor generated from 7 experiments, with each experiment being matricized and becoming a frontal slice of the tensor (thus mode-3 is of length 7). The data is generated from ...
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1answer
82 views

How to build Predictive models with insufficient historical/performance data

I'm building a auto loan probability of default model where the loan term could be 3 to 7 years and hence default can happen anytime in that interval. But we are a start-up and have only 3 years of ...
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1answer
886 views

Create synthetic data with a given intraclass correlation coefficient (ICC)?

I want to generate some synthetic data with $I$ observations across $J$ clusters. Additionally, I want the intraclass correlation coefficient ($ICC$) to be an input of my data generation process. So, ...
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2answers
485 views

Generate non-random data that follows a given correlation matrix

Problem: I have to generate in R a synthetic dataset which contains three different variables that didn't follow any known distribution. What I did until now: Grouping historical values of each ...
3
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0answers
400 views

How to generate synthetic data with a given $R_{x,y}^2$

I would like to generate some data with the following relationships: $ y = x\beta + T\delta + \varepsilon $ $ R_{x,y}^2 = a $, where $a$ is a number that I can choose when generating the data $ \...
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1answer
653 views

How to evaluate the quality of a synthetic dataset?

I'm still playing with the data related to the year 2008 of the "Household power consumption" dataset (free to download at UCI Machine Learning Repository). I was able to generate some synthetic data ...
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1answer
415 views

Synthetic data behaviour different from real data

I'm studying in R a way to generate synthetic data starting from real world data and, in particular, I'm focusing on the year 2008 of the "Household power consumption" dataset (free to download at UCI ...
2
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1answer
2k views

SMOTE using unbalanced package in R fails on simple simulated data

SMOTE is a popular method to generate synthetic examples of the minority class in an unbalanced-class data set. I am trying out SMOTE in the "unbalanced" package in R. I am generating a simple ...
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2answers
343 views

regarding generating synthetic data simulating the real data

We are trying to develop some predictive models. The current scenario is that we have to rely on synthetic data at first since the real data set will not be available quite soon. It is understandable ...
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0answers
453 views

Monte Carlo Simulations: Can I Use Real Data as Universe?

In Monte Carlo simulations, it is a commonly used procedure to generate synthetic data based on a large survey (e.g. a microcensus) first. These synthetic data is then used as universe/population for ...
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1answer
304 views

Synthetic datasets for concept drifting data

Is there any synthetic / artificial datasets for concept drifting data? I want to visualize the performance of some clustering algorithm when data experiences concept drift and changes over time.
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1answer
81 views

How to create synthetic mortality data set?

Mortality data for certain countries is available for at the Human Mortality Database (www.mortality.org). However, I would like to develop a multipopulation model that first estimates a mortality ...
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1answer
2k views

Placebo tests in Synthetic Control Method

I am trying to make graphs for the placebo tests under synthetic control, however I seem to be doing something wrong as I am not being able to merge the files. I am using the dataset of Abadie(2010) ...
2
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0answers
67 views

Relation between bootstrap mean and parameter value estimated via maximum likelihood

I have an observed data set $O$ and a synthetic model $S(\theta)$ which attempts to describe it. By fixing $\theta$ to different values I can generate $M$ synthetic realizations of the model: $$S_k =...
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2answers
336 views

Approaches for generating synthetic survey data with dependent answers?

I would like to produce synthetic survey data. At the moment I produce independent answers between questions according to an arbitrary discrete distribution as in this question. I want to generate ...
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0answers
97 views

Create a continuous variable not related to binary target

I would like to create a continuous variable in such a way that it has least predictive information with respect to binary target variable. That continuous variable needs to have good relationship ...
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2answers
1k views

Synthetic Control Method

I came across this journal http://www.hks.harvard.edu/fs/aabadie/ccsp.pdf which basically uses Synthetic Control Method (SCM) to estimate the difference between the impact on a variable when an event ...

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