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Questions tagged [model]

A formalization of relationships between stochastically (randomly) related variables in the form of mathematical equations. DO NOT USE THIS TAG BY ITSELF: always include a more specific one.

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how to measure significance of improvement between two methods during modeling

Hello everyone I have two methods for developing models. I use a set of input features (set1) for training model1 and another set of input features which have (set1 features + extra set2 features). I ...
Rhea Bedi's user avatar
-1 votes
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43 views

How to grade the prediction accuracy with how evenly distributed the test data is

Can anyone provide a method for measuring the even distribution of a dataset. I've come up with an example to illustrate the type of problem I am trying to solve, whereby I would like to measure the ...
Marcus Brian's user avatar
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How to convert residual predictions back to original unit in a multiple regression model

I am trying to use a multiple-linear regression model based on observed air temperature (ta) and precipitation (pr) time series ...
StatsNewbie0's user avatar
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30 views

Adjusted R^2 or Lack of Fit

This might be a basic question, but I'll still ask, as I haven't found any proper conclusions from the forums. I'm fitting my data using the Response Surface methodology. So, ideally, the relation ...
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How to improve probability distribution fitting

I am trying to fit a distribution to daily percentage returns, and have got the following, where the p-val is low, suggesting it was not normally distributed. However, it's not perfect, and I try to ...
Wong's user avatar
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2 votes
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When authors write "model of the data" is this a shorthand for "model of the data generating process" [duplicate]

Some authors, such as Barber in Bayesian Reasoning and Machine Learning and Rasmussen & Williams in Gaussian Processes for Machine Learning, write phrases such as "model of the data" and ...
fire-bee's user avatar
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Can I model the interaction between a continuous variable and two factors separately for each factor?

I'm wondering if I can model the effect of the interaction between a continuous variable and two factors in a model without including the three-way interaction between the two factors. Let's imagine I ...
Boussens-Dumon Grégoire's user avatar
1 vote
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33 views

Fitting a model with multiple inputs, multiple outputs, multiple parameters, and covariance matrices for each data point

This question is the theoretical counterpart to another question posted on StackOverflow, where I asked about the implementation of the fitting algorithm using Scipy or lmfit libraries for Python. ...
Swike's user avatar
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1 vote
1 answer
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Which statistical model is suitable?

I have the results of a survey of $n=132$ patients with their socio-economic profile and their spending behavior on mobility-coins (my thesis topic). In the survey, we asked people how they would ...
yaseen's user avatar
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63 views

Bootstrapping Methods for Logistic Regression Models

I have a continuous numeric predictor variable and a continuous numeric response variable (the response variable is bounded by 0 and 1, and there are 0s and 1s in the response column, but the ...
David Moore's user avatar
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Should I use parameter standard deviations or standard errors when bootstrapping to generate confidence intervals about logistic regression models?

I have binary response data that I've modeled using simple logistic regression. I have data from a few species and from several individuals of each species. I've modeled each individual separately, so ...
David Moore's user avatar
2 votes
1 answer
31 views

How does a logistic ordinal regression model learn the interaction between the features?

I have a dataset of informations about students and the last column is the target variable which is the final note. My goal is to make logistic regression and ordinal regression models to see whether ...
Moez Daly's user avatar
1 vote
1 answer
53 views

Several regressions with different dependent variables

I'm working on a project where I want to compare two groups of participants based on several different metrics. Right now, I'm estimating separate regressions with different dependent variables (i.e. ...
John's user avatar
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1 vote
0 answers
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Variance of ARMA$\left(2,2\right)$ model

Find $Var(∇Y_t)$ if $Y_t = 5 + 2Y_{t-1} - 1.7Y_{t-2} + 0.7Y_{t-3} + e_t - 0.5e_{t-1} + 0.25e_{t-2}$. I've reduced this down to $∇Y_t = 5 + ∇Y_{t-1} - 0.7∇Y_{t-2} + e_t - 0.5e_{t-1} + 0.25e_{t-2}$. ...
Random user33's user avatar
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A good variable to make a regression model for gas usage over the years for a city

so I'm new to statistics, I'm trying to make a regression model in Excel, explaining why, or due to what variable, does the gas usage change over the years. I tried using a basic Y variable - Time - ...
Nero's user avatar
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1 vote
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50 views

confusion about random effects summaries from lme and tab_model SjPlot

I am running into two issues. As such, I am not confident in my interpretation of summary estimates from the Random Effects part of lme function. I used the ...
Science11's user avatar
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2 votes
1 answer
61 views

Simple structure for selecting machine learning model

I recently came up with the following structure to assess which models work best for some simple classification tasks. Assume that we have some labelled multivariate data, already splitted into X and ...
Marlon Brando's user avatar
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221 views

Can raw means and estimated marginal means be the same ? And when?

I have read a lot about calculating raw (standard) means and EMM. First are data based (descriptive stats), the latter are model based. I try to learn how to calculate both of them. In my example both ...
Andrzej Andrzej's user avatar
10 votes
2 answers
1k views

What would be a good model to fit to cumulative reputation on Stack Exchange?

I'm trying to model the distribution of my cumulated reputation on one Stack Exchange site over time (that is, each data point is the sum of my reputation whenever that reputation changes, mostly ...
user avatar
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0 answers
16 views

Interpreting output from sum constrast model

I have a question following the great response @DaveArmstrong answered in this topic about sum contrast coding. To first introduce my problem, have a model to account for species richness which is: <...
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1 answer
39 views

Difference between a distribution model and a regression model

Kindly help me with the difference between a distribution model and regression model as related to randomness
user10565614's user avatar
3 votes
1 answer
30 views

Modeling quesion, linear regression or survival analysis

I am analyzing a dataset where the outcome variable is "teenagers' recreational drug use in weeks." This is continuous and highly skewed outcome variable. While the range spans from 2 weeks ...
Sundown Brownbear's user avatar
1 vote
1 answer
41 views

GLS Function - Fitting and Interpretation Issues

I am well aware, that this is a FAQ, but other questions could not provide me answers to my question. Also, I hope this will not be considered a double post, since I have posted this issue with a ...
Vik123's user avatar
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1 vote
0 answers
14 views

Statistical models for simultaneous study designs

I have thinking about a problem that can be encountered in environmental epidemiology, but I guess in other research fields too. Background: In environmental epidemiology the interest is mostly to ...
jmarkov's user avatar
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"Time stratified" regression model?

I'm sure this type of model has a name but I can't for the life of me find the correct keyword to look it up. For each $t \in \{0, 1, \ldots, T \}$, suppose I have $n$ data tuples $\{ (X_{0,t}, Y_{0, ...
Anthony's user avatar
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2 votes
1 answer
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P-Hacking concern: How valid is it to take statistically significant linear models from two different datasets and compare their coefficients?

I was wondering what if the following process can be considered p value hacking or just bad statistical practice. What I currently have are two subsets of one large parent dataset. These subsets are ...
Syuma's user avatar
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4 votes
1 answer
64 views

How to write a Gompertz model as an accelerated failure time model?

Accelerated failure time models are usually defined as a model for $X>0$ with (constants) covariates $Z\in \mathbb{R}^p$ such that \begin{equation} \log(X) = \mu + \beta^*Z + \sigma W, \end{...
Nikolaj Pedersen's user avatar
0 votes
2 answers
42 views

Should you remove outliers in a small insurance dataset? [closed]

Background I'm working on an insurance dataset that has 4,000 rows, and 30 columns. The target variable is the loss incurred by the customer for the given row. The target variable's distribution looks ...
Connor's user avatar
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0 answers
104 views

Moderation with a latent variable in AMOS

I am trying to create an AMOS SEM model between Childhood Traumas (CT) and Borderline Personality Disorder (BDL), and the Behavioral İnhibition System (BİS) will be ...
fromdreams's user avatar
1 vote
1 answer
153 views

Bimodal Posteriors in Bayesian Non-linear Regression

I will preamble by saying thank for reading this, and that any commenter should feel free to criticise any aspect of this modelling specification or workflow you deem naive or uninformed. I am ...
MDZ's user avatar
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2 votes
2 answers
241 views

Is it okay to use different data preparation procedures for different models?

I'm currently learning some basics of building models, and I was wondering whether it's okay to use different data preparation procedures for different models. Specifically, I was considering an ...
mrepic1123's user avatar
1 vote
0 answers
28 views

Open-Source Alternative of Closed-Source Swarm Optimization

We are currently using a closed-source software for model optimization. Since it is closed, we have no transparency into the underlying code, which therefore by definition makes it challenging to ...
Oliver Angelil's user avatar
1 vote
0 answers
20 views

Are the two ways of specifying the model equivalent when there are interactive terms?

Suppose we have continuous outcome variable $Y$, and we have a set of covariates $\mathbf{X}$ (assuming they are all continuous) and two binary variable $a$ and $t$. The goal is to estimate the ...
JoZ's user avatar
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0 answers
25 views

Help selecting an interpretable model to measure the impact of customer journey touchpoints on satisfaction

Context I'm working on a project where I need to undestand the impact of customer journey touchpoints on satisfaction. My goal is to create an interpretable model rather than a purely predictive one, ...
João Bugelli's user avatar
2 votes
3 answers
72 views

Quadratic terms in linear regression [duplicate]

I've been making regression models for quite a while now, I am comfortable with the idea that $$y = \beta_0 +\beta_1x^2 \text{ is linear and } y =\beta_0 +\beta_1^2x \text{ is not}$$ but I've never ...
Ewan McGregor's user avatar
2 votes
1 answer
50 views

Analyzing microbiome and clinical data for event-prediction

I am analyzing clinical data and complex microbiome data in a longitudinal study. I already compared different groups at baseline and between baseline and "events" using linear mixed models (...
BHO_1990's user avatar
-4 votes
1 answer
51 views

help please answer the question regarding regression model analysis? [closed]

[![regression model.][1]][1] [solve the questions given here.] [1]: https://i.sstatic.net/f2LHc.png
serious student's user avatar
3 votes
1 answer
37 views

Choice of a model to measure the probability of changing class for observations within the dataset

The problem I would like to solve is the following. It's not the usual data science problem (at least for me) so I don't know if my solution is good and I'm open to any comments. I have a dataset with ...
Kumpelka's user avatar
  • 133
0 votes
0 answers
22 views

Understanding parameters interaction contrasts in model averaging

I am struggling to understand how parameter interaction contrasts play into model averaging. As I am new to Stack Exchange, I apologize if my question is in the wrong place or incorrectly asked. I ...
artessy's user avatar
1 vote
0 answers
40 views

Model fit / Forecast accuracy / Predictors / Explanatory power predictors (panel data)

I have the following data structure: 100 individuals (forecasters) predicted the likelihood of the outcomes of 50 events (binary outcomes, 1 or 0). For each event, each forecaster made two different ...
Marc J. Muller's user avatar
1 vote
0 answers
61 views

Issue of multicollinearity in R for glm analysis

I was wondering if someone could help me with a statistical problem I have run into. Any help would be incredibly helpful. Please note that for clarity, I have simplified the below description. It ...
Ian Holdroyd's user avatar
1 vote
0 answers
27 views

What kind of machine learning model could I use on this dataset?

I am a beginner to data science. I found this dataset that covers natural disaster incidents in Afghanistan from 2016 - present. Here are the 13 columns: REGION (South West, North, etc), PROV_CODE (...
Mas's user avatar
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0 votes
0 answers
31 views

Is this model valid? [duplicate]

I would like to know whether this model is valid with respect to the calculation of the probability outcome. I apologize for the length, but to determine its validity you will need to know the ...
j00001's user avatar
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0 votes
0 answers
18 views

Statistical analysis to interpret beta effect size for two different elastic net model

I have two elastic net model and I want to compare their coefficient to say if they have any significant beta effect changes across these two models. I thought of using Anova but realized since we don'...
Rhea Bedi's user avatar
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0 answers
40 views

Averaging linear regression model coefficients with different data sources

I am new to model averaging and its not clear on how to use the model average coefficients. I have data from three different data sources, (say A, B, and C) and the linear regression models for the ...
Sura's user avatar
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2 votes
1 answer
125 views

How to interpret the p-value associated with the intercept?

I ran a gamlss to predict my response variable Y with 2 categorical factors PROTECTION and JOUR ...
Marie Guittonneau's user avatar
0 votes
1 answer
32 views

Interpretation of estimates for 2 categorial factors and their interaction

I selected the best fitted gamlss model for my data : gamlss(formula = Ratio ~ PROTECTION * JOUR, nu.formula = ~JOUR, family = BEINF, data = D_E1, trace = FALSE) I want to interpret the output of ...
Marie Guittonneau's user avatar
2 votes
0 answers
134 views

How to create bootstrap confidence intervals for a gradient boosted machine

I'm trying to build bootstrap confidence intervals for the predictions of my model, which is a gradient boosted machine. I understand that this is done as follows: Tune and build the "mean" ...
TomFromWales's user avatar
0 votes
0 answers
56 views

How to properly order outcomes in tidycmprsk subdistribution hazard (crr)?

This feels like a naive question, but I am a bit confused by the documentation and vignettes that I have found for tidycmprsk and the instructions I have been given for my exercise. I am trying to ...
womy's user avatar
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0 answers
28 views

Equivalence Between a Regression Model with Interaction Terms and Separate Models for Subsets of Predictors [duplicate]

Background: Consider a response variable decomposed as: $$ y = y_1 + y_2 + y_3 + y_4 + y_5 $$ The predictors in matrix $X$ are divided into subsets $X_1, X_2, \dots, X_5$. Importantly, for each $X_i$, ...
The One's user avatar
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