Indicates questions asking about the use and meaning of specific technical words/concepts in statistics.

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1answer
20 views

What is the difference between ex ante and a priori, if any?

In the context of estimating geophysical quantities from remotely sensed data (inverse theory), what do the terms ex ante and ex post mean? For context, see for example this paper by T. von Clarmann ...
2
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0answers
26 views

What is a semantic map

Based on: J. P. Carvalho, "On the Semantics and the Use of Fuzzy Cognitive Maps in Social Sciences" (WCCI, 2010 -- PDF) and Richard Dagan's web page Cognitive Mapping. A cognitive map consists of ...
2
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0answers
22 views

Weighting on tables

I have a question about terminology. Suppose I have data categorized by three factors A, B, and C, with cell means $\bar{y}_{ijk}$ and cell frequencies $n_{ijk}$, where $i$, $j$, and $k$ index A, B, ...
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1answer
42 views

What is the difference between sample and outcome? (plus events and observations)

I was sure that these are the same things but I do not get the difference reading about mass probability function Suppose that $X: S → A (A \subseteq R)$ is a discrete random variable defined on ...
2
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1answer
34 views

Discrete analog of CDF: “cumulative mass function”?

We call the integral of a probability density function (PDF) a cumulative distribution function (CDF). But what's the cumulative sum of a probability mass function (PMF) called? I've never heard the ...
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1answer
23 views

Hypothesis Testing terminology [duplicate]

I am studying now Hypothesis Testing. I use for it book High-Yield Biostatistics, Epidemiology, and Public Health and videos of Brandon Foltz (recommending these ...
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0answers
37 views

What is this problem called in machine learning research?

Given 2 sets of entities from 2 different classes described by properties $f_1...f_n$, any 2 entities from the 2 different classes together have a score: ${\rm Score}(c_1e_1,c_2e_1) = y$. How ...
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0answers
17 views

Difference between semantic network and ontology [migrated]

Cognitive maps represent mental models which have connections between concepts that represent entities, goals. Ontologies represent vocabularies for knowledge representation. It explains the semantics ...
2
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0answers
35 views

Where did the words bias and variance come from? [closed]

I understand that a bias model is more relaxed while a model with a lot of variance is more flexible. but, where did these terms come from, and, why 'bias' and why 'variance'?
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1answer
24 views

What are the Mild Regularity Conditions in the context of GEEs?

I was reading the Wikipedia Article on Generalized Estimating Equations, where I came across the following sentence: Parameter estimates from the GEE are consistent even when the covariance ...
1
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2answers
35 views

What is the correct term for testing a classification method on different subsets of the same data

I am searching for the correct definition of a methodology I am using to test the robustness of different classification methods. I am creating different subsets of the full dataset by cutting away ...
3
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1answer
47 views

Is there a formal name for this data normalization formula?

I am using a generalized formula for normalizing one data range to another but am having difficulty finding its formal name, if it even exists (sorry if my notation is strange): $$ x_b = min_b + ...
4
votes
1answer
43 views

What does “Conditioning on the margins of ____” mean?

What does it mean to "condition on the margin of ____"? I lack statistical/mathematical training and phrases like these leave me bewildered and unsure where to look. In this post (Which are ...
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3answers
78 views

What is shallow architecture in machine learning?

What is a precise definition of shallow architecture in machine learning?
2
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0answers
17 views

What's the difference between autoencoders and deep autoencoders?

I have seen the term deep autoencoders in a couple of articles such as Krizhevsky, Alex, and Geoffrey E. Hinton. "Using very deep autoencoders for content-based image retrieval." ESANN. 2011. What's ...
1
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0answers
39 views

What does “model-based” mean for multivariate statistics?

What does "model-based" mean for multivariate statistics? E.g. mvabund– an R package for model-based analysis of multivariate abundance data. How is "non-model-based multivariate statistics" then? ...
2
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1answer
59 views

Why we need single class classification?

I have started learning classification in machine learning. I face two terminologies, one is "single class classification" and a the other is "binary class classification". I am confused about when ...
8
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1answer
240 views

Is there a name for bar charts that replace the bars with color coded objects?

I have been trying to find information on this type of chart and just keep getting unintended results. Is there a name or search term to find bar charts that replace the bars with color coded objects ...
4
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2answers
148 views

Are “random sample” and “iid random variable” synonyms?

I have been facing hard time understanding meaning of "random sample" as well as "iid random variable". I tried to find out the meaning from several sources, but just got more and more confused. I am ...
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0answers
32 views

How do you explain dimension-reduction with statistics?

With statistics: how would you explain the dimensionality reduction and dimensionality addition? Like the conversion of a color picture to gray space so that a color blind person could more easily ...
1
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1answer
34 views

Family vs. class of distributions - definitions

What is the difference between a class of distributions and a family of distributions? The class of (a,b,0) distributions is defined as: The Binomial, Poisson, Geometric and Negative Binomial meet ...
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0answers
32 views

Geometric view of perceptrons

I'm watching Hinton's "Neural Networks for Machine Learning" on Coursera. I'm on the part about the geometric view of perceptrons. I'm confused. And the the reason I'm confused as I don't know what he ...
0
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0answers
22 views

What does “ordinate” in “posterior ordinate” mean?

What does "ordinate" in "posterior ordinate" mean? For example, The starting point in this computation is a decomposition of the posterior ordinate into marginal and conditional ordinates followed ...
2
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1answer
30 views

Correct expression of confidence level

A very basic question: when noting the statistical significance of fitting some model, does one report that results are significant at the 95 percent confidence level, or at 0.05 significance?
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0answers
36 views

Thesaurus for statistics and machine learning terms

Does there exist any reference thesaurus for statistics and machine learning terms? I know that Wikipedia articles often contain synonyms, but I would like to have a mere thesaurus that I could go ...
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1answer
118 views

What are key differences between homoscedasticity and homogeneity?

Homoscedasticity and homogeneity assumptions are popular and perhaps deal with ANOVA and regression. These assumptions create lot of confusion.
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4answers
761 views

Can anyone clarify the concept of a “sum of random variables”

In my probability class the terms "sums of random variables" is constantly used. However, I'm stuck on what exactly that means? Are we talking about the sum of a bunch of realizations from a random ...
0
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1answer
52 views

Population Projection, Forecast, Prediction

I am frequently reading some terminology But not understanding their difference . Those are : $\bullet$Difference between ...
0
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1answer
43 views

Bernoulli or Binary RBM

For the classical RBM: $P(\tilde{h}|\tilde{x})=\sigma\left(\tilde{b}+W\tilde{x}\right) a$ and $P(\tilde{x}|\tilde{h})=\sigma\left(\tilde{c}+W^{T}\tilde{h}\right)$ for for hidden layer $\tilde{h}$ ...
1
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1answer
66 views

Bayes in English

I am not a statistician or mathematician but am trying to learn. My question: In Bayes Theorem, $p(C|X)=p(X|C)p(C)/p(X)$, what are the English terms for $p(X|C)$ and $p(C)/p(X)$? In other words, is ...
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5answers
2k views

What does 'highly non linear' mean?

I often read about a function being 'highly non linear'. In my understanding, there is "linear" and "non-linear", so what is this 'highly' about? Is there a formal difference from non linear? How is ...
7
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1answer
374 views

What is the difference between multiple regression & mutivariate regression?

I have data on GDP growth as a dependent variable and growth in main production sectors of Pakistan such as mining, electricity, communication, manufacturing and electricity. I am supposed to run a ...
0
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1answer
49 views

Transformation of latitudes to include them a linear model

I have in a dataset a variable latitude that contains values such as 39° 37' 39" N and ...
11
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3answers
466 views

What are differences between the terms “time series analysis” and “longitudinal data analysis”

When talking about longitudinal data, we may refer to data collected over time from the same subject / study unit repeatedly, thus there are correlations for the observations within the same subject, ...
0
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1answer
23 views

Estimator as a Vector

Suppose we are performing a linear regression of $Y$ on $X$. That is: $$E[Y|X] = \beta_{0} + \beta_{1}X$$ Is it correct to say that an estimator is $\mathbf{\hat{e}} = (\hat{\beta_0}, ...
2
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1answer
59 views

What's the difference between regression coefficients and partial regression coefficients?

I've read here that When the independent variables are pairwise orthogonal, the effect of each of them in the regression is assessed by computing the slope of the regression between this ...
4
votes
2answers
79 views

What should I call these growth rates?

I have a table of sales growth rates by month calculated thus: $$\text{growth rate}_i=\dfrac{\text{sales in month } i-\text{sales in January}}{\text{sales in January}}$$ What should I call this ...
2
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0answers
53 views

What do you call $p(Y|X_1)$?

Given random vectors $Y= [Y_1, \dots, Y_m]$ and $X = [X_1, \dots, X_n]$, $p(y|x)$ is the conditional distribution of $Y$ given $X$. We can call $p(y_1|x)$ the marginal conditional distribution of ...
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0answers
10 views

EnergyThe meaning of these term in Image Processing?

Im newbie in Image Processing field, and I got many term that wierd. There are : Moments Local and global characteristic Energy of Image Color Temperature What each of them represent in Image??
10
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2answers
440 views

Why are the geometric distribution and hypergeometric distribution called as such?

Why are the geometric distribution and hypergeometric distribution called "geometric" and "hypergoemetric" respectively? Is it because their pmfs take some special form? Thanks!
7
votes
2answers
335 views

Is it inappropriate to call multiple regression analysis 'correlational'?

I recently received a review back for a paper in which I referred to some previous studies as 'correlational' where they used multiple regression to analyze some population data and make biological ...
0
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0answers
27 views

What is the difference between “data mining” and “data analytics”? [duplicate]

What is the difference between "data mining" and "data analytics"? Are both things the same technically?
2
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1answer
53 views

What do I call a set of datasets

For training a Machine learning model, I have 3 datasets: Training Validation Testing Normally I obtain there by dividing up the full dataset into pieces. I've created a function in my code to ...
0
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0answers
80 views

Differences between robustness checks and sensitivity analysis

This is a bit of a terminology question, but what is the difference between a robustness check and a sensitivity analysis? For example, if performing analysis to see how sensitive (or robust) a ...
14
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3answers
833 views

Why is logistic regression a linear model?

I want to know why logistic regression is called a linear model. It uses a sigmoid function, which is not linear. So why is logistic regression a linear model?
2
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0answers
50 views

Terminology used in normal probability plots

I'm vaguely familiar with normal probability plots (non-statistician who knows enough to get by). The graph in this article: What are the two dotted curves called, what do they signify, and how are ...
3
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2answers
146 views

ANOVA terminology: “repeated measures” vs . “within/between subjects”

What does the term "Repeated" mean in the context of ANOVA? I totally understand the distinction between within-subjects test and in-between subjects test, but am not familiar with the wording ...
0
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0answers
17 views

differentiation

I have a short question whether there is a difference between two terms: "Differentiation" and "First differencing" in the concept of SIMULTANEOUS EQUATIONS MODELS WITH PANEL DATA (Wooldridge, 2003, ...
6
votes
1answer
127 views

Regression Terminology

This is a very basic question, but I haven't been able to get an answer with my google-fu. In the following sentences: We regress W on Z We performed a regression of W on Z I'm unsure ...
0
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1answer
28 views

Proper wording for lottery skewed by contribution size

I have an idea for a lottery that is skewed in a fairly simple way: The chance of winning is proportional to the square of each player's contribution, divided by the sum of the square of all players' ...