A statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of sample data (and similar data from...

neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model. Noam Chomsky did pioneering...

degree of statistical modelling. Terminology is inconsistent, but three major types can be distinguished: A generative model is a statistical model of the...

social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of...

In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called...

statistics, model validation is the task of evaluating whether a chosen statistical model is appropriate or not. Oftentimes in statistical inference, inferences...

In statistics, model specification is part of the process of building a statistical model: specification consists of selecting an appropriate functional...

mixed model, mixed-effects model or mixed error-component model is a statistical model containing both fixed effects and random effects. These models are...

for which we wish to draw inferences, statistical inference consists of (first) selecting a statistical model of the process that generates the data...

increases. Statistical models specify a set of statistical assumptions and processes that represent how the sample data are generated. Statistical models have...

IBM's statistical models pioneered word alignment techniques for machine translation, laying the groundwork for corpus-based language modeling. A smoothed...

of models for which substantial reduction in the complexity of the related statistical theory is possible. For the regression case, the statistical model...

description of a system using mathematical concepts and language Statistical model, a mathematical model that usually specifies the relationship between one or...

In statistics, a zero-inflated model is a statistical model based on a zero-inflated probability distribution, i.e. a distribution that allows for frequent...

learning and more generally statistical analysis, this may be the selection of a statistical model from a set of candidate models, given data. In the simplest...

thing Scientific modelling – Scientific activity that produces models Statistical model – Type of mathematical model Statistical model validation – Evaluating...

corresponding statistical model is said to be regular; otherwise, the statistical model is said to be singular. Examples of singular statistical models include...

In statistics, a logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more independent...

extensions, and applications in statistical modelling; and bring together statisticians working on statistical modelling from various disciplines. The principal...

When classification is performed by a computer, statistical methods are normally used to develop the algorithm. Often, the individual observations are...

Generalized linear models were formulated by John Nelder and Robert Wedderburn as a way of unifying various other statistical models, including linear...

Ising model (or Lenz–Ising model), named after the physicists Ernst Ising and Wilhelm Lenz, is a mathematical model of ferromagnetism in statistical mechanics...

causation". Nearly any statistical model can be used for prediction purposes. Broadly speaking, there are two classes of predictive models: parametric and non-parametric...

Principles of statistical inference. Cambridge New York: Cambridge University Press. ISBN 978-0-521-68567-2. Freedman, David A.(2005). Statistical Models: Theory...

econometrics, the autoregressive conditional heteroskedasticity (ARCH) model is a statistical model for time series data that describes the variance of the current...

this statistical approach involves extracting effect sizes and variance measures from various studies. By combining these effect sizes the statistical power...

their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but primarily EDA...

parametric model or parametric family or finite-dimensional model is a particular class of statistical models. Specifically, a parametric model is a family...

The term conceptual model refers to any model that is formed after a conceptualization or generalization process. Conceptual models are often abstractions...

measurements and tests occur simultaneously in one statistical estimation procedure, where all the model coefficients are calculated using all information...