Tags

A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.

The field of study concerning statistical methods that use space and spatial relationships (such as distance, area, volume, length, height, orientation, centrality and/or other spatial characteristics…
a stochastic process modelling time series, which specifies the value of the series linearly in terms of the previous values.
Modeling error (especially sampling error) instead of replicable and informative relationships among variables improves model fit statistics, but reduces parsimony, and worsens explanatory and predict…
A discrete, univariate distribution modelling the number of ${\rm Bernoulli}(p)$ trial successes until a specified number of failures occur.
"a measure of the strength of a phenomenon or a sample-based estimate of that quantity" [Wikipedia].
one of a number of regression models for dependent variables that are counts (non-negative integers). A more general model is negative binomial regression. Both have numerous var…
Receiver Operating Characteristic, also known as the ROC curve.
A model for time series in which the conditional variance is time-varying and autocorrelated.
A non-negative continuous probability distribution indexed by two strictly positive parameters.
A multivariate, discrete probability distribution used to describe the results of a random experiment where each of $n$ outcomes are placed into one of $k$ nominal categories.
736 questions
The process of assessing whether the results of an analysis are likely to hold outside of the original research setting. DO NOT use this tag for discussing 'validity' of a measurement or instrument (s…
The quantiles of a distribution refer to points on its cumulative distribution function. Some common quantiles are quartiles and percentiles.
708 questions
Usually refers to "z-standardization" which is shifting and rescaling data to assure they have zero mean and unit variance. Other "standardizations" are possible, too.
The process of fiting some statistical model to a particular set of data. Mostly done on a computer, and using varied numerical methods such as optimization or numerical integration, or simulation. …
Joint probability distribution of several random variables gives the probability that all of them simultaneously lie in a particular region.
the degree of closeness of the estimates to the true value. For a classifier, accuracy is the proportion of correct classifications. (This second usage is not good practice…
a neural network architecture that contains recurrent NN blocks that can remember a value for an arbitrary length of time.
The Wilcoxon rank sum test, also known as Mann-Whitney U test, is a non-parametric rank test to assess whether one of two samples has larger values than the other.
The uniform distribution describes a random variable that is equally likely to take any value in its sample space.
a statistical software package. Use this tag for any on-topic question that (a) involves SAS either as a critical part of the question or expected answer, & (b) is not just about how to use SA…
The act of generating a sequence of numbers or symbols randomly, or (almost always) pseudo-randomly; i.e., with lack of any predictability or pattern.
673 questions
Seasonality refers to the recurring fluctuation around the mean of a time-series for a given period of time, usually a calendar year.
the expectation of a random variable, given information on another variable or variables (mostly, by specifying their value).
Questions that seek a conceptual or non-mathematical understanding of statistics.
Vector Auto-Regression, a multivariate time-series model / method. Under VAR, each univariate time-series is a linear combination of its own previous values and the previous values of the other series…
Asymptotic theory studies the properties of estimators and test statistics when the sample size approaches infinity.
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 …
Measure of distance between distributions or variables, such as Euclidean distance between points in n-space.
A rule for calculating an estimate of a given quantity based on observed data [Wikipedia].
A distribution describing the time between events in a Poisson process; a continuous analogue of the geometric distribution.
Refers to a subset of data mining concerned with extracting information from data in the form of text by recognizing patterns. The goal of text mining is often to classify a given document into one of…
641 questions
For questions about the central limit theorem, which states: "Given certain conditions, the mean of a sufficiently large number of iterates of independent random variables, each with a well-defined me…
A regularization method for regression models that shrinks coefficients towards zero.
Cumulative distribution function. While the PDF gives the probability density of each value of a random variable, the CDF (often denoted $F(x)$) gives the probability that the random variable will be …
the process of using domain knowledge of the data to create features for machine learning models. This tag is meant for both theoretical and practical questions regarding featur…
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