Questions tagged [method-comparison]

Questions about comparisons of different statistical methods

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Which distribution to use ? Justify the choice and find a criterion of compatibilty between expriment and theoritical values [closed]

In an experiment, 16 events corresponding to a given physical process were measured. The theoretical model predicts the observation of $3.9$ events. I am looking for the probability that the ...
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2 votes
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25 views

Correct hypothesis test to use here?

I have 5 samples from which I gathered data at 5 separate time points (days). Each day I observe the distribution of some RV. When I plot the distribution for each day it sort of looks like this for ...
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Age adjustment or Age standardization state of the art?

I want to run some comparisons of a quantity between different populations. Such quantity comes from a model that includes, among other variables, the variable age. So, one of the variables affecting ...
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1 vote
2 answers
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Comparing frequency between groups

I'm using SPSS, new to statistics. I have 2 groups of patients (Group 1: 1000 patients; Group 2: 400 patients). One of five different interventions (surgery a,b,c,d,e) was performed on subjects in ...
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How to compare/test two datasets which are not supposed to be exactly equal

Example of such dataset is open, high, low, close, volume data of any stock over the period of last 5 days. This data is available at the frequency of each minute. I want to test the quality of my ...
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Compare value of two time trends - which statistical test use?

I have a three time trends: -time trend representing values before 2020 ("prepandemic") -forecasted time trend based on prepandemic trend (I used TBATS model) -actual observed values I want ...
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2 answers
52 views

Comparing results from structural equation model and OLS regressions

Are results obtained from a structural equation model (SEM) comparable to those from a series of separate regressions? Or, conversely, can I obtain direct, indirect, and total effect of an independent ...
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anova model comparison versus concordance index comparison in deciding best model for survival prediction

I have developed a cox-model in my research, and I want to compare it to the conventional staging system for prognostic evaluation. The traditional staging system categorizes patients into risk groups ...
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GLM Model comparison and selection with different response distribution

I am proposing for my thesis... Pls help. I have Y=weight of Baby, X1=Age of Mother X2=Age of Baby and X3=Sex of baby. I assume Y~Normal with Identity link. Also I assume Y~Binomial with logit link ...
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2 votes
1 answer
189 views

The reason (and intuition) behind why stochastic gradient descent can get stuck on a local minimum

Suppose you want to find $k$ that minimises your cost function $J(k)$. We may want to apply batch gradient descent or stochastic gradient descent. Let's deliberately initialise $k$ with the same ...
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How to compare 2 p-values?

I have 2 continuous outcome (independent) variables, A and B, and 1 dependent variable (biomarker) that are all very correlated (i.e., p_A = 0.01, p_B= 0.000001). I would like compare the outcome ...
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Compare two correlation coefficients - or do I want moderation? Or something else entirely?

I'm trying to assess the impact of the UK government's differing approach to managing COVID-19 on healthcare outcomes. For example, I can consider weekly patients presenting with COVID-19, and weekly ...
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How to compare two texts with different order of words?

I have two texts, one ground truth and one OCR result, and I want to measure to what accuracy the result matches the ground truth. But since the text source is non-linear, both texts have a different ...
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7 votes
1 answer
412 views

Is it wrong to compare multiple models on the same test set and choose the best model?

Suppose we split a dataset into 3 parts (train, validation, and test). I know that it's important to make sure the test set doesn't influence our decisions during model selection or hyperparameter ...
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request reference on the superiority of Gaussian processes in small-data regime

It seems to be widely accepted that Gaussian processes are superior to neural networks in the small data regime. Are there any references (whether books or papers) that make such claims and justify ...
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How and what to test: symptom limited test without symptoms?

I'll try to explain the question as easy as possible with two example patients of my $\approx 100$ patient groups. All patients had a specific operation, prior and a year after operation they ...
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1 answer
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Contour plot comparison [closed]

What are the ways to compare two different maps? I was thinking of taking the matrices of each map and then quantify their spatial differences by plotting the map of the differences of the two ...
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2 answers
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Fair comparison of machine learning methods with different parameterization

Let us assume the following scenario: The goal is to forecast the additional number of customers of a set of companies. To do this, you use a basic set of characteristics (e.g., company-specific ...
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2 answers
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McNemar-Bowker exact test in R: difficulty interpreting the results

I am trying to use the McNemar-Bowker test to test the difference in performance for 2 classifiers. Since my input matrix is sparse and the sum of some of the symmetric cells is less than 10, I am ...
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3 votes
1 answer
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Comparing the accuracy of binary classifiers using iterated cross-validation

Let's say that you want to compare two binary classifiers (e.g., LDA and linear SVM) for a given research question, the question being "which one will probably perform best for the problem at ...
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1 vote
1 answer
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Overlapping quinquennial data - How to compare?

I actually do not know if this is the right place to ask, but I hope someone can help me. I have a dataset that provides the number of newborns in quinquennial periods. For instance, I have the number ...
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1 vote
1 answer
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Do XBGoost and LightGBM only use trees as base learners?

From my understanding of GBM is that it can take not only decision trees as base learners, but different weak learners as well (e.g., linear models), since it relies on sequential gradient descent. ...
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207 views

Comparison of Bayesian and Classical estimates

Is it correct to compare Bayesian and Classical estimates using Mean Squared Error (MSE)? MSE is a criterion that is used in the classical paradigm. For example: I am comparing the performance of ...
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Which regression analysis to use?

I have percentage change data compared to a baseline of public and private transport activity over 1 year. With the help of one or two independent variables I want to analyze if there is a switch ...
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2 votes
5 answers
211 views

Interval Estimation for a Change in a Binomial Proportion

I'm not sure how to estimate the confidence interval (CI) for a change in a small sample size binomial proportion using the same sample set both times. I have two methods that I would like to compare (...
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Statistical Significance on shops performances with a marketing promotion

I have data regarding the performances of shops on a certain time period: in this data some shops had an active marketing promotion, and some didn't. I would like to understand whether the shops with ...
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Comparing two clustering methods with adjusted Rand index - How to make labels match

I have a set of data (countries), and I use a clustering method (Kmeans) to create two partitions on them based on different data (diet and covid stats). So I get two groups of partitions, and I want ...
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9 votes
2 answers
309 views

Propensity score matching vs non-parametric regression

I am trying to understand the benefit of propensity matching over non-parametric regression for causal inference from non-experimental data. As background: the way I understand it, parametric ...
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1 vote
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35 views

Efficient way to compare algorithms performance with missing samples

I'm currently doing some experiments to compare more than 70 different configurations (different parameters of an evolutionary algorithms) that have 30 runs each (repeated due to stochastic results). ...
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3 votes
1 answer
495 views

What is the difference between simulated annealing and deterministic annealing?

Not sure if this is the right place, but I was wondering if someone could briefly explain to me the differences & similarities between simulated annealing and deterministic annealing? I know that ...
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1 vote
2 answers
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How can I tell if images are from the same distribution?

What are some tests I could run on two groups of imagery to see if they're from the same distribution? Imagine, for example, that you want to augment a dataset with another, and you want to make sure ...
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1 vote
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R: Caret package: AUC ("ROC") standard error from cross validation

This seems like a basic questions, so I'm likely missing the big picture here... I would like to know the AUC of each fold of a cross-validation performed in Caret's train function, in order to ...
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Statistical tests for comparing (black box) model performance on two datasets

Introduction I have two datasets, dataA (real images) and dataB (generated images). I also have a model that has been trained on dataC. dataC might have some overlap with dataA but for certain does ...
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1 answer
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Comparing different model with the same output

I work on developing 3 different models for predicting land surface temperatures in an area (validation is done with images taken by a thermal drone). The models are: A thermodynamic mechanistic ...
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1 answer
286 views

compare correlation between two matrices

We have two algorithms that assign a score to the foreground of how well it fits the background. And we want to know which algorithm is closer to human perception. Then we collect an evaluation set ...
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7 votes
2 answers
130 views

What is better in Monte Carlo integration: product of means or mean of products?

Let $X$ and $Y$ be two independent continuous random variables with pdfs $f_X$ and $f_Y$, respectively. Let $\varphi_1$ and $\varphi_2$ be two continuous functions from ${\mathbb R}$ to ${\mathbb R}$. ...
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why the result of primal sim is not the same as linear kernel?

I have a data set with 36000 rows and 9 columns. so n<< m. this is multi classification SVM. I solved this by primal model in OSQP. then I used R package e710 and svm with linear kernel. the ...
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2 votes
1 answer
199 views

When to use the full and the conditional likelihood

In the context of estimating parameters of a time series model, we may consider either the full likelihood or the conditional likelihood. I was wondering in what situations the full ...
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2 answers
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Evaluate methods across datasets based on distance metrics

I want to evaluate $n$ methods, says $M_1,\cdots,M_n$ on $m$ datasets $D_1, \ldots, D_m$. For each method $M$, I have a score function $f(M,D) \in [0, \infty)$ for dataset $D$. A perfect method will ...
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1 vote
1 answer
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if different methods have difference 0.5 in third decimal place while finding accuracy then what to conclude?

For the comparison of different feature selection methods and evaluating performance metrics. After evaluation when their is only 0.5 difference in third decimal place. Is this difference is ...
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2 votes
1 answer
1k views

Which method is correct for calculating total deviance explained for boosted regression trees?

I have the following output from a boosted regression trees model and I would like to calculate the total deviance explained. ...
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1 vote
1 answer
2k views

Can you compare the mean of one data set with the median of another?

I’m having an argument with another numerically literate person. We both saw a news site state that under no circumstances should you compare the median of one set with the mean of another. It’s ...
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2 votes
0 answers
66 views

comparison of machine learning models

I’m struggling with a statistical problem in machine learning: I’m using event-related fMRI responses (voxels) evoked by graded painful stimulations as feature. The targets are the scores (labels) of ...
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3 votes
2 answers
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Reasons for different parameters via MoM and MLE

I got a study of 210 samples and I tried fitting gamma distribution to them. I used method of moments and maximum likelihood estimation to calculate the parameters, but parameters came out quite ...
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1 vote
0 answers
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Evaluating a set of algorithms based on daily performance

I work in a production system which can use three competing algorithms, say $A_1,A_2,A_3$ for a customer on a daily basis. On each day, for a given customer, the production system looks at how much ...
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2 votes
1 answer
51 views

Multiple classifier comparison with Bayesian statistics

I've been recently working on some classifier comparisons. I've come to realize, the critical distance diagrams introduced $\approx$ 10 years ago might not be the most relevant solution for this ...
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3 votes
2 answers
975 views

Compare clustering results with different attributes and number of clusters

I used K-means to cluster a large data set that has millions of samples. I tried to create the clusters with different sets of attributes, which, as a result, generated different optimal number of ...
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1 vote
0 answers
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Statistical difference of machine learning predictions

I am applying a machine learning classification method to two difference scenarios for my boss (in this context, I am using a random forest). Due to the nature of the problem, there is high class ...
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2 votes
0 answers
90 views

Analysis of Pre-post Likert-type scales: Intervention vs. Control group

I gathered the following data: Intervention group (n= 24, received treatment): pre- and post- scores of different psychometric questionnaires Control group (n=23, inactive): same questionnaires, same ...
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5 votes
1 answer
54 views

Bayesian and frequency tail estimation

The tail probability can be estimated by two methods: In Bayesian method: $$P_B(X>a)=\int^{\infty}_{-\infty}\pi(\theta|x)[1-F(a|\theta)]d\theta$$ In Plug-in frequency method: $$P_F(X>a)=1-F(a|\...
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