Results 11 to 20 of about 7,721,638 (300)
Mechanistic models in computational social science [PDF]
Frontiers in Physics, 2015 Quantitative social science is not only about regression analysis or, in general, data inference. Computer simulations of social mechanisms have an over 60 years long history. They have been used for many different purposes—to test scenarios, to test the
Petter eHolme, Fredrik eLiljeros
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Mechanistic Models and Modeling Disorders
, 2016 Recent debate has focused on how disorders should be modeled, and on how their onset, course and final outcome should be explained. I shall here address some issues arising from modeling neuropsychiatric disorders, which are in many cases still poorly understood, subject to a very high rate of individual variations, and tackled from different ...
Raffaella Campaner, CAMPANER, RAFFAELLA
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Mechanistic Modeling for the Masses
Behavioral and Brain Sciences, 2021 The generalizability crisis is compounded, or even partially caused, by a lack of specificity in psychological theories. Expanding the use of mechanistic models among psychologists is therefore important, but faces numerous hurdles. A cultural evolutionary approach can help guide and evaluate interventions to improve modeling efforts in psychology ...
Matthew Adam Turner, Paul E. Smaldino
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Models and Mechanistic Insight [PDF]
The Journal of General Physiology, 2008 “The mission of the Journal of General Physiology is to publish original work of the highest quality that elucidates basic biological, chemical, or physical mechanisms of broad physiological significance. This expectation—that the articles provide mechanistic insight—has served the Journal well; it also has been cause for much uncertainty, mostly ...
Pugh, Edward N., Andersen, Olaf S.
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The foraging behaviour of granivorous birds: a mechanistic perspective. [PDF]
1. The functional response, i.e. the feeding rate as a function of prey density, links resource availability to population level demographic rates. The functional response is often central to behavioural-based population models that predict the effect ...
Baker, David J.
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Framework for converting mechanistic network models to probabilistic models [PDF]
, 2023 There are two prominent paradigms for the modelling of networks: in the first, referred to as the mechanistic approach, one specifies a set of domain-specific mechanistic rules that are used to grow or evolve the network over time; in the second ...
Goyal, Ravi +5 more
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A Generalized Mechanistic Codon Model [PDF]
Molecular Biology and Evolution, 2014 Models of codon evolution have attracted particular interest because of their unique capabilities to detect selection forces and their high fit when applied to sequence evolution. We described here a novel approach for modeling codon evolution, which is based on Kronecker product of matrices.
Zaheri Maryam +2 more
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BayCANN: Streamlining Bayesian Calibration With Artificial Neural Network Metamodeling
Frontiers in Physiology, 2021 Purpose: Bayesian calibration is generally superior to standard direct-search algorithms in that it estimates the full joint posterior distribution of the calibrated parameters.
Hawre Jalal +2 more
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Mechanistic Modelling of Radiation Responses [PDF]
Cancers, 2019 Radiobiological modelling has been a key part of radiation biology and therapy for many decades, and many aspects of clinical practice are guided by tools such as the linear-quadratic model. However, most of the models in regular clinical use are abstract and empirical, and do not provide significant scope for mechanistic interpretation or making ...
Stephen J. McMahon, Kevin M. Prise
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Toward linking ocean models to fish population dynamics [PDF]
, 2009 We discuss Lehodey et al.’s (2009) approach to linking ocean models to population dynamics of large marine predators, consider its benefits and limitations, and outline alternative approaches.
Buckley, Lauren B. +7 more
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