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.

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statistical models whose primary purpose is to predict other observations of a system optimally, as opposed to models whose purpose is to test a particular hypothesis or explain …
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more than one response or dependent variable of interest. This can be contrasted with "multiple" or "multivariable" analysis, which typically implies more than one predictor or…
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our generic tag for questions seeking information about books, papers, presentations, videos of lectures, on-line tutorials, etc., regarding any subject matter that is on-topic for Cro…
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Mathematical re-expression, often nonlinear, of data values. Data are often transformed either to meet the assumptions of a statistical model or to make the results of an analysis more interpretable.
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In frequentist hypothesis testing, the $p$-value is the probability of a result as extreme (or more) than the observed result, under the assumption that the null hypothesis is true.
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Survival analysis models time to event data, typically time to death or failure time. Censored data are a common problem for survival analyses.
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a formalization of relationships between variables in the form of mathematical equations. A statistical model describes how one or more random variables are related to one or mo…
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Data mining uses methods from artificial intelligence in a database context to discover previously unknown patterns. As such, the methods are usually unsupervised. It is closely related but not identi…
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a field of statistics dealing with applications to economics.
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a high-level language and interactive programming environment developed by MathWorks. It is the foundation for a number of other tools related to statistical analysis, including Statistics T…
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Methods and principles of selecting a subset of attributes for use in further modelling
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A situation where the effect of an explanatory variable may depend on the value of another explanatory variable.
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Refers to any model where a random variable is related to one or more random variables by a function that is linear in a finite number of parameters.
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a general purpose programming language designed for ease of use. It is a commonly used platform for machine learning. Use this tag for any *on-topic* question that (a) involves `Python` eith…
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Procedures that rely on relatively few assumptions about underlying probability distributions.
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off-topic on this site.** Use this tag for questions concerning creating, processing, or maintaining datasets.
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The binomial distribution gives the frequencies of "successes" in a fixed number of independent "trials". Use this tag for questions about data that might be binomially distributed or for questions a…
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the square root of the variance of a random variable, an estimator thereof, or a similar measure of the spread of a batch of data.
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Refers to the AutoRegressive Integrated Moving Average model used in time series modeling both for data description and for forecasting. This model generalizes the ARMA model by including a term for d…
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a machine-learning method based on combining the outputs of many decision trees.
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Refers to a general estimation technique that selects the parameter value to minimize the squared difference between two quantities, such as the observed value of a variable, and the expected value of…
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Refers generally to making substantive conclusions from the results of a statistical analysis.
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The expected value of a random variable; or a location measure for a sample.
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a proprietary cross-platform general-purpose statistical software package.
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In statistics this refers to selecting an estimator of a parameter by maximizing or minimizing some function of the data. One very common example is choosing an estimator which maximizes the joint den…
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A discrete distribution defined on the non-negative integers that has the property that the mean is equal to the variance.
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very ambiguous. Use it when the question is about sample size & the following are NOT more appropriate: [small-sample], [large-data], [power-analysis], [power], or [underdetermined].
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a problem of judging which model from some set performs best. Popular methods include $R^2$, AIC and BIC criteria, test sets, and cross-validation. To some extent, feature selection…
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Panel data refers to multi-dimensional data frequently involving measurements over time in econometrics. It is also called longitudinal data in biostatistics.
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The probability that an event A will occur, when another event B is known to occur or to have occurred. It is commonly denoted by P(A|B).
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a resampling method to estimate the sampling distribution of a statistic.
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concerned with assessing the probability of unknown values from known values and inferred relationships.
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concerned about achieving intended power and size when more than one hypothesis test is performed.
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the study of how to structure an information-gathering exercise where variation is present. In statistics, controlled experiments are usually implied, meaning that s…
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a value that is subject to chance variation (i.e., randomness in a mathematical sense).
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the correlation of a series of data with itself at some lag. This is an important topic particularly in the analysis of time-series data.