A random variable $X$ is called continuous if its set of possible values is uncountable, and the chance that it takes any particular value is zero ($\text{P}(X = x) = 0$ for every real number $x$). A random variable is continuous if and only if its cumulative probability distribution function is a ...

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34 views

Probability distribution estimate of target continuous variable

I am looking for litterature/reference on algorithms for a regression task that can give the probability distribution estimation of the output variable, or multiple outputs with their respective ...
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27 views

Association of qualitative and quantiative variables

I have data of an ordinal qualitative variable and I would like to study if it has some relation with a continuous quantitative variable and I don't know what technique could I use for that. I was ...
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0answers
8 views

Data preparation of a new record on the fly [migrated]

I am facing problem in the implementation of Data Preparation of a single record on the fly. I am loading the model from disk and I need to to make prediction against it. Lets Say, I have 3 ...
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6 views

Neural Network - Multiple discrete and continious inputs

In order to keep the distance between discrete values irrelevant we often use one-hot encoding feature vectors to normalize our feature vector. So a discrete value could be splitted up into a number n ...
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1answer
10 views

Negative binomial regression: control variables

Question: what are the assumptions of a negative binomial regression? Do continuous control variables (the DV and main IV are binary) need to follow a normal distribution? I have been searching online ...
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20 views

Data type ontology naming: continuous

In one part of my API, I have an hierarchical ontology of data types declared: ...
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14 views

Hard question - Trying to predict one dependent, continuous variable in 2 conditions, both with different correlations, how do I proceed?

I'm trying to explain the variance experienced with cybersickness, roughly put a type of motion sickness experienced inside of Virtual Reality (more specifically, I put participants in a virtual ...
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4answers
89 views

Dummy coding vs. continuous variable in regression analysis

I am doing a regression analysis in R, in which I examine the contribution of each car attribute to its price. Some variables can be coded as a dummy variable, or as a continuous variable. For ...
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10 views

Power Analysis for 1-sample Longitudinal Observational Study

I need to calculate the minimum detectable effect given a known N and desired power. I have a CONTINUOUS EXPOSURE and continuous outcome, each measured twice (baseline + 1 follow-up). If possible, I ...
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18 views

Limit-bound continuous data, how to compare multiple distributions?

We are doing a simple experiment looking at the effect of smell on taste. 200 subjects are given a liquid to taste and asked to rate the favorability of the taste on a scale from 1 to 20. The subjects ...
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1answer
25 views

Is there a test suitable for the analysis of my data?

I am trying to compare the performance of pipelines. These pipelines have been sorted into two groups, Insulated and Non-Insulated. I have a total of roughly 60 pipes which are a combination of ...
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1answer
25 views

time is a continuous or discrete variables?

I am trying to create a prediction framework of what a customer will buy on a website, so I am confused if time-connection variable (time of the connection of a customer) is a continuous or discrete ...
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0answers
14 views

ANOVA with continuous time signal

I have a very large data set of a continuous time signal as measured force(N). I want to do a 4-way ANOVA to compare 12 groups in this data (or compare the signals). My question is, how should I ...
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5answers
245 views

Clustering of variables: but they are mixed type, some are numeric, some are categorical

I have a dataset with 15 variables. Some variables are numeric, continuous. Other variables are boolean, dichotomous (true/false). There's also one variable categorical, nominal. ...
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30 views

When is time treated as a discrete variable?

Time is usually treated as a continuous variable but in some cases it is discrete. An example would be with a drug study and measurements are taken at 1, 2 and 3 hours. Am I right to think an ...
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0answers
17 views

Is supremum continuous on D[0,1]? Needed for continuous mapping theorem

I am currently in the following situation: I have a sequence of processes which converges weakly to a limit process in D[0,1]. I want to show that the supremum of the processes converges as well to ...
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0answers
66 views

What's the variance of the following stochastic integral and is it weakly stationary?

The stochastic integral is defined as $$u_t = \int_{t-1}^t e^{-\kappa(t-s)}\int_0^s e^{-c(s-r)} \, dW(r) \, ds.$$ where $W(t)$ is a standard Brownian motion, $\kappa$ and $c$ are both positive. I ...
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25 views

Interpreting continuous interaction term

I have a question regarding the interpretation of an interaction term in the following model: $$ Y=β_0+β_1X+β_2Z+β_3XZ $$ $X$ and $Z$ are continuous and $X$ is negatively related to $Y$, whereas $Z$ ...
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2answers
180 views

How to evaluate how well some samples come from some given distributions?

I have a complicated procedure that, given an input $x$, outputs several random samples $S_i(x)$ for $i\in\{1,\dots,k\}$ (each sample consists of $n_i$ points). Each sample $S_i(x)$ follows an unknown ...
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22 views

Mediation analysis with a continuous exposure - Lange et al

It's regarding the method proposed by Lange, Vansteelandt et al. for mediation analysis. In their examples, they explain clearly how to conduct a mediation analysis when the exposure variable is ...
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19 views

Significance of a Dichotomous Variable vs. a Continuous Variable

I ran an analysis using the 2005 healthy eating index (HEI) score as the dependent variable and am a bit confused by my results. The HEI score ranges form 0 to 100, and categorized as bad (<51), ...
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15 views

Applying Cox Proportional Hazards Model on Discontinuous Variable

I am using coxph in Rstudio to apply Cox Proportional hazards model on my data. This model is easy to use on continuous variable ...
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0answers
23 views

Measure relationship between continuous variable & unbalanced binary variable

I am trying to select variables for modelling a binary variable (whether a person will repay a loan) using various continuous variables about them - age, income, years of education, etc. I'd like to ...
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3answers
151 views

Categorizing Continuous Random Variable in Logistic Regression

I have a Bernoulli response variable and I am going to fit a logistic regression. One of my independent variables is a continuous random variable and I would like to categorize it before fitting the ...
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1answer
19 views

How to deal with quasi-continuous features?

I've searched around a bit for strategies to approach the problem I'm facing and haven't come up with much. I'm working with a data set that has many "quasi-continuous" features. That is, the ...
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34 views

How to calculate odds ratio per unit decrease of continuous variable

I have a logistic regression model obtained in R comparing association between two index diagnoses (0 or 1) with Age (continuous) + ...
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0answers
21 views

How to set sum contrasts for unbalanced factors

Let's say that I have a model where the response time depends on accuracy (0/1, coded either as categorical or numerical) and another categorical variable (pres: idem/diff), both interacting with the ...
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2answers
65 views

Gibbs sampling and mixed distribution

For a project, I need to simulate from a joint distribution with both continuous and discrete variables that are dependent. The conditional distribution of any variable given the rest is known. I ...
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2answers
30 views

Marginal likelihood: why integration is used

From wiki: Given a set of independent identically distributed data points $\mathbb{X}=(x_1,\ldots,x_n)$, where $x_i \sim p(x_i|\theta)$ according to some probability distribution parameterized ...
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42 views

Double Hurdle model with continuous DV and two sources of zeros

I want to regress a data set that contains a lot of zero's (~55%) and is determined by a typical 2-stage decision process generating the zeros: Consumer decides to apply for a bank loan or not (0-1) ...
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29 views

Moderated Correlation

I am interested in the moderation of a latent correlation. The model consists of two latent variables with three and four indicators. The latent variables are correlated and influenced by a continuous ...
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1answer
36 views

How do I find the percentile p (or quantile q) from a weighted dataset?

Say I have height measurements of Earth's population expressed with a precision of integer centimetres. ...
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19 views

Correlation between binary predictor and numerical response using Linear Regression

I am trying to find correlations between several binary predictors and a continuous response variable. I am not sure what test it is supposed to work for this case, I got confused with all the things ...
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0answers
25 views

compute likelihood

How can I compute the likelihood or posterior probability on data when the distribution function is continuous. For example the dist. function is a Gaussian and I have one hundred data points. Now how ...
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33 views

Interpretation of continuous by continuous interaction in binary regression model

I'm performing binary logistic regression in SPSS; y is dichotomous variable; and both Xs are continuous variables. I performed three models and I have troubles interpreting model with both ...
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13 views

Filter Feature Selection approaches for continuous variables?

I've noticed that correlation-based filtering for selecting features in high dimensional data require discretization of continuous variables, like e.g. Fast Correlation-based Filtering or regular CFS. ...
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33 views

Can you explain why this distribution has been suggested for the length of a telephone call

I don't understand what the distribution in e) shows me? I would expect a normal curve about the mean but this is confusing
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15 views

PCA for mixed variables

I have a dataset which contains many variables : continuous and discrete variables. I have a discrete variable adress which can include many value (if for example the customer changes his location, ..)...
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1answer
47 views

Discrete or continuous variable

I am trying to model Ip adress to cretae a fraud detection framework. So I am wondering if Ip Adress is a continuous or discrete or categorical variable. Bests
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30 views

Four standard deviation rules in relation to normality testing

Within our department we were given a set of guidelines for how we might decide whether to proceed with parametric or non-parametric testing (for continuous data). These were drawn up in consultation ...
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27 views

What analysis to use? IV: multiple interdependent levels, DV: continuous variable

My dependent variable is a continuous variable, ranging from 0 to infinity. However, my independent variable has multiple interdependent levels. To illustrate, A person has 6 attributes: A1, A2,... ...
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17 views

The marginal likelihood of a fully-observed continuous time Markov chain

Say we have a fully observed trajectory $S$ from a CTMC. For a generator/rate matrix $Q$, we place gamma priors $\mathrm{Gamma}(\alpha_{1},\alpha_{2})$ on the diagonals, and $\mathrm{Dirichlet}(\beta)...
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26 views

Get most occurring value on a graph

I have a data series which is continuous (there is data in between individual data points not captured by the series). There are many inflection points within the series and my goal is to find 5 most ...
3
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1answer
33 views

Deriving Formula for Marginal Distributions

I'm having trouble understanding exactly why when you have a two-dimensional random variable $(X,Y)$ and you want to find the marginal probability distribution of X, for example, you integrate the ...
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1answer
31 views

Transformations possible when performing a single multivariate ANOVA on a continuous and categorical species database?

I want to study the impact of aquaculture on a hard rocky seafloor community which is naturally low in diversity. 4 replicate images (0.25 m2 each) were taken at fixed distances (0, 20, 40, 80, 120, ...
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11 views

Relationship between categorical & 5 quantitative variables

Im a bit of statistics noob so Im hoping someone here can help me Im doing a research papaer where I've created a virtual market asking the participants which solutions they would like to invest in. ...
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19 views

Using ordinal variable as continuous variable in MLM

In this post, Can I use multiple regression when I have mixed categorical and continuous predictors?, it is stated that you can use an ordinal IV as a continuous IV in a multilevel model. Does anyone ...
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0answers
28 views

Using a variable as a continuous predictor in regression even if a middle range of values is missing?

I've been collecting data (various measures) in people with a body mass index (BMI) in the "healthy weight" range (BMI between 18.5 and 25) and the "obese weight" range (BMI over 30) (hence, I've ...
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0answers
114 views

How to transform ordinal categorical income into a continuous variable?

I have a large data set including an ordinal categorical income variable and want to transform this variable into a continuous variable. I want to perform a simulation study with the dataset and ...
0
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1answer
45 views

Chi-squared test for continuous variables (averages)

i'm trying to find a suitable statical test for my situation. The best way I can think of describe it is finding a Chi-Squared test for continuous data. Please tell me otherwise. Here is my made up ...