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

Statistical Modelling is a bimonthly peer-reviewed scientific journal covering statistical modelling. It is published by SAGE Publications on behalf of...

neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.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

Predictive modelling uses statistics to predict outcomes. Most often the event one wants to predict is in the future, but predictive modelling can be applied...

The Statistical Modelling Society (SMS) is an international society of statisticians, which, according to its statutes, will promote statistical modelling...

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

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

Statistical inference is the process of using data analysis to infer properties of an underlying probability distribution. Inferential statistical analysis...

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

), Encyclopedia of Statistical Sciences, Wiley. Mayer, D. G.; Butler, D.G. (1993), "Statistical validation", Ecological Modelling, 68 (1–2): 21–32, doi:10...

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...

Lindenmayer, D. B. (1996). "Modelling the abundance of rare species: statistical models for counts with extra zeros". Ecological Modelling. 88 (1–3): 297–308....

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

Scientific modelling is an activity that produces models representing empirical objects, phenomena, and physical processes, to make a particular part...

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

approaches in non-behavioural modelling, such as pattern recognition and automatic classification. Data-driven models encompass a wide range of techniques...

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

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

Outline for a Morphology of Modelling Methods: Contribution to a General Theory of Modelling Colette Rolland (1993). "Modeling the Requirements Engineering...

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

systems, statistical models, differential equations, or game theoretic models. These and other types of models can overlap, with a given model involving...

coupled with alternatives to programming syntax in favor of DSLs. Statistical modelers have developed domain-specific languages such as R (an implementation...

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

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

ultimate model will be. Leo Breiman distinguished two statistical modelling paradigms: data model and algorithmic model, wherein "algorithmic model" means...

quality of statistical models for a given set of data. Given a collection of models for the data, AIC estimates the quality of each model, relative to...

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

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

the same statistical units (see also longitudinal study), or where measurements are made on clusters of related statistical units. Mixed models are often...

useful in statistical modelling, benefiting from properties inherited from the normal distribution. For example, if a random process is modelled as a Gaussian...