Search results

'''CSMP III, or Continuous System Modelling Program<ref>{{cite news |newspaper=[[Computerworld]] ...s}}</ref> IlI''' is an early scientific [[computer software]] designed for modelling and solving [[differential equation]]s numerically. This enables real-world ...

...ter to misspecification. This article goes beyond simply defining discrete choice models. Rather, it aims at providing a comprehensive overview of how to sim == Defining choice set == ...

...is a [[nonparametric]] [[statistical estimation|estimator]] for [[discrete choice]] models developed by [[Charles Manski]] in 1975. Unlike the [[multinomial ...th> , denote her choice as <math> y_{t,i} </math> , which is equal to 1 if choice ''i'' is chosen and 0 otherwise. Assume latent utility is linear in the e ...

...ntroduction to Sensitivity Assessment of Simulation Models.” Environmental Modelling & Software 69 (C): 166–74. https://doi.org/10.1016/j.envsoft.2015.03.020. < ...rder to obtain an exploratory sample. It is demonstrated that a convenient choice for the [[parameter]]s <math> p </math> and <math> \Delta </math> is <math> ...

...E., and Veraart, A., [http://pure.au.dk/portal/files/21655743/rp10_41.pdf "Modelling electricity forward markets by ambit fields"], ''CREATES research center'', ...solution to this. This provides a very flexible and general framework for modelling a variety of phenomena.<ref name="forw" /> ...

...of model is applied in many economic contexts, especially in modelling the choice-making behavior. For instance, <math> Y_i</math> here denotes whether cons ...he restricted and unrestricted models, [[Likelihood-ratio test]] is also a choice: let <math> L_u </math> denote the value of the log-likelihood function und ...

...onometrics]] which applies [[Bayesianism|Bayesian]] principles to economic modelling. Bayesianism is based on a degree-of-belief [[probability interpretations| ...<math>0\leq\theta\leq 1</math>, with the [[beta distribution]] as a common choice due to (i) being defined between 0 and 1, (ii) being able to produce a vari ...

In practice, Tucker decomposition is used as a modelling tool. For instance, it is used to model three-way (or higher way) data by m ...or efficiently approximately by choosing <math>d_i < n_i</math>. A common choice is <math>d_1 = d_2 = d_3 = \min(n_1, n_2, n_3)</math>, which can be effecti ...

...s and produces virtually the same results as the ideal models by the right choice of its value.<ref>{{cite journal |last1=Mitsoulis |first1=Evan |last2=Tsamo ...orming |year=2001 |pages=403–406 |oclc=51843097 }}</ref> and the sigmoidal modelling behaviour of density changes across interfaces.<ref>{{cite journal |last1= ...

...he model coefficient, which corresponds to that variable (''β''). A common choice on that step is to use a [[Normal distribution|normal]] prior with a mean e ...

...int = 0904.4184}}</ref> Where the [[metric tensor]] is given, a particular choice of coordinates is used, but there are often other useful choices of coordin ...f the spacetimes are more for academic or pedagogical interest rather than modelling physical phenomena. ...

...ifies multiple competing models which differ in their priors – e.g. in the choice of parameters which are fixed at their prior expectation of zero. Having fi ...ison|first2=L.|last3=Penny|first3=W.|date=August 2003|title=Dynamic causal modelling|journal=NeuroImage|volume=19|issue=4|pages=1273–1302|doi=10.1016/s1053-8119 ...

...e are multiple definitions of DisCoCat in the literature, depending on the choice made for the compositional aspect of the model. The common denominator betw The reason behind the choice of <math>\mathbf{FinVect}</math> as the category of semantics is that vecto ...

{{About|the purpose of thermodynamic modelling and the relevant procedure |the details of different models|Equation of sta '''Thermodynamic modelling''' is a set of different strategies that are used by engineers and scientis ...

...ue]] of utility, generalizing the [[utility theory]] upon which [[discrete choice]] models are based.{{sfn|Keane|Wolpin|2009}} == Conditional value functions and choice probabilities == ...

...potential is multiplied by a tapering function <math>f(r)</math>. A simple choice is linear tapering with <math>r_t = .95 r_c</math>, although better results ...out that in most cases dynamical properties are fairly insensitive to the choice of <math>\varepsilon_{RF}</math>. It can be put in by hand, or calculated a ...

...}) as a utility function for [[multi-objective optimization]] and [[choice modelling]] in [[decision-making]].<ref name="Soboleva-Beskorovainyi_2008"/><ref name It was also used in economics for modelling consumption and investment,<ref>{{Cite journal |last=Orlando |first=Giusepp ...

..." />{{rp|222}} and makes quasilinear utility functions a common choice for modelling. Furthermore, when utility is quasilinear, compensating variation (CV), eq ...

[[Category:Choice modelling]] ...

{{short description|Molecular dynamics modelling software}} ...bulk solids, surfaces or other low-dimensional systems and molecules, the choice of basis functions is crucial. ...