# terminology's questions - English 1answer

976 terminology questions.

### Association and relationship in statistics

I heard someone arguing in a conference that when you use the word "association" it indicates to the result of a chi-square test and when you use the word "relation" it indicates to the result of ...

### 8 Does the function $e^x/(1+e^x)$ have a standard name?

Does a function in the form $e^x/(1+e^x)$ have a standard name? E.g. $y = a + bx$ is a linear function.

### 3 Association, relationship and correlation

Are measures of association, relationship and correlation the same? Different textbooks uses those words interchangeably and Im wondering if the they are the simply the same...

### 3 Does there exist terminology for percentiles/ranges sorted by question difficulty?

2 answers, 104 views terminology quantiles
Suppose I administer an exam consisting of 320 multiple-choice questions (i.e., the answer is either correct or incorrect - there's no partial credit). I grade the exams, and now I want to do an ...

### $X$ independent of $Y$ conditional on $Y$ in some subset of the domain?

0 answers, 18 views terminology independence
Let $X,Y,\epsilon:\Omega\to \mathbb R$ be random variables. Let's say that $X=\text{sign} (Y) +\epsilon$. Then $X$ is not independent of $Y$. However, we have all the information about $Y$ that we ...

### An arbitrary error function

1 answers, 24 views machine-learning terminology
I have read this paper Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning My question is What does the arbitrary error functions mean?

### 6 What is asymptotic error?

2 answers, 1.021 views machine-learning terminology
Ng, A.Y., and Jordan, M.I. (2001). On Discriminative vs. Generative classifiers: A comparison of logistic regression and naive Bayes. Advances in Neural Information Processing Systems, 14, pp. 841-8, ...

### 3 Is machine learning an heuristic method?

I'm asking this out of curiosity. In the past I have thought of an heuristic as a "quick and dirty" rule not based on data analysis, as opposed to a solution which uses machine learning or ...

### A generic terminology for a given object to be estimated?

If one has to suggest, what is it one would call a given object that is to be estimated? We already have a generic term "estimator" on the one hand. When the context is clear, usually there is no ...

### 17 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 ...

### what type of sample is this?

1 answers, 50 views sampling terminology stratification
I have the folowing table: according to this example, there are 40 observations distributed over 10 stores and 4 weeks of the month. Objective: to make a sample of 90%, 80%, 75% and 50% of the 40 ...

### 4 What do the terms “dense” and “sparse” mean in the context of neural networks?

1 answers, 3.308 views neural-networks terminology definition
What do the terms "dense" and "sparse" mean in the context of neural networks (NNs)? What is the difference between them? Why are they so called?

### 77 When should linear regression be called “machine learning”?

In a recent colloquium, the speaker's abstract claimed they were using machine learning. During the talk, the only thing related to machine learning was that they perform linear regression on their ...

### 1 ELI5: What is a Discrete Distribution with finite support?

2 answers, 54 views terminology discrete-data
A list of discrete event distributions are labeled as either with or without finite support. https://en.wikipedia.org/wiki/List_of_probability_distributions#Discrete_distributions What does it mean ...

### 2 When is a Tercile not a Tercile?

1 answers, 388 views terminology quantiles
I have data being grouped into 3 ranges: 80-89%; 90-109% 110-120% Can I call these 3 Terciles? I believe a tercile is the data split into 3 equal sized groups - is there another term I can use ...

### 15 Is supervised learning a subset of reinforcement learning?

It seems like the definition of supervised learning is a subset of reinforcement learning, with a particular type of reward function that is based on labelled data (as opposed to other information in ...

### 53 Objective function, cost function, loss function: are they the same thing?

In machine learning, people talk about objective function, cost function, loss function. Are they just different names of the same thing? When to use them? If they are not always refer to the same ...

### 1 Standard normal intuitive understanding

3 answers, 51 views normal-distribution terminology z-test
What does it mean for a standard normal to have mean 0 and standard deviation 1? I'm having trouble understanding - what is a "normal variable"?

### 1 Asymmetry effect vs leverage effect

0 answers, 23 views self-study terminology garch
Regarding GARCH models, many authors use the terms asymmetric effects and leverage effects interchangeably and they left me with a doubt on whether these two terms are synonymous. I get that, for ...

### 19 What is the difference between convolutional neural networks and deep learning?

I want to use deep learning in my project. I went through a couple of papers and a question occurred to me: is there any difference between convolution neural network and deep learning? Are these ...

### 1 What is the difference between stride and subsample in convolutional neural networks?

Is there any difference between stride and subsample in convolutional neural networks?

### 10 Factor rotation methods (varimax, oblimin, etc.) - what do the names mean and what do the methods do?

Factor analysis has several rotation methods, such as varimax, quartimax, equamax, promax, oblimin, etc. I am unable to find any information that relates their names to their actual mathematical or ...

What is the history behind the choice of the name "Adam" as used in Adam: A Method for Stochastic Optimization?

### 3 What does “shift invariant” mean in convolutional neural network?

I saw a term describing the feature detectors, i.e. shift invariant. What is that mean? Paper: 1989 Generalization and Network Design Strategies

### 2 How to normalize time series?

This is a general question on normalization of data so that all the variables are within the same range. Why do we normalize data in pattern classification? How to normalize time series which is ...

### 1 Rotational invariance of PPCA

0 answers, 40 views pca terminology factor-analysis

### 1 What's the definition of “Dynamic Regression Models”?

I am trying to learn about Dynamic Regression models. However, the sources on the topic is (relatively) few compared to other TS topics, and so I cannot really get a grasp of where to start. I really ...

### Confusion over terminology for time series classification

0 answers, 19 views time-series classification terminology
This probably is due to my lack of a reference textbook for statistical modeling of time series, anyway I'm not sure which terms we use to distinguish between two different time series classification ...