... with the sender and the entire set of receivers. We illustrate the empirical value of RHEM in a comparative reanalysis of the canonical Enron email data set. hypergraphs multicast communication point process models relational event models social network analysis technology-mediated communication...

.../journals/pages/open_access/funder_policies/chorus/standard_publication_model ) big spatial data electronic health records Gaussian process models point process data spatial confounding U.S. National Library of Medicine 10.13039/100000092 R00 LM01286 National Institute of Diabetes and Digestive...

..., in samples of Australian and US residents Social cognition theory Health behavior Dual-phase models Dual-process models Habit Action planning The novel coronavirus disease 2019 (COVID-19) pandemic has emerged as a truly global public health crisis [ 1 ]. While symptoms of COVID-19 are relatively mild...

... both the full database as well as an intentionally biased subset to elaborate this story. Bayesian inference Log-Gaussian Cox process Markov chain Monte Carlo sampling Nearest neighbour Gaussian process Real estate transactions Shared process models Investigation of selling price of properties...

... model, is defined together with the Kalman filter recurrence relations and a number of model formulations are given. Multi-process models introduce uncertainty as to the underlying model itself, and this approach is described in a more general fashion than in our 1971 paper. Applications to four series...

...Huayu Liu; Nichole E. Carlson; Gary K. Grunwald; Alex J. Polotsky Bivariate point processes Follicle stimulating hormone Joint point process models Luteinizing hormone Pulsatile hormone Reproductive hormones email: [email protected] 01 10 2016 01 08 2017 01 06...

...Kelly L Haws; Rebecca Walker Reczek; Kevin L Sample; Gita Johar; Lauren Block healthiness food decision making price intuition lay theory dual process models Is this food healthy? Convenient? Tasty? Affordable? Understanding consumer decision making about what to eat is both complex...

.... After demonstrating the effectiveness of our new model via simulation, we reanalyse the asthma hospitalization data and note some important findings. Bayesian methods Gaussian process Gradients Markov chain Monte Carlo methods Spatial process models Space–time models can be classified...

...I. David; J. Ruesche; L. Drouilhet; H. Garreau; H. Gilbert character process models feed intake genetic analysis longitudinal data random regression models structured antedependence models The FI was analyzed for 3 different species (rabbit, duck, and pig). Rearing facilities are described...

... they represent are adequately understood. strategic qualitative models quantitative models empirical models mechanistic models simulation process models gap models stand dynamics landscape models © 2009 by the Society of American Foresters 2009 A Review of Forest Succession Models and Their Suitability...

... and OR-joins. Workflow management process models formal methods Petri nets patterns invariants At the moment, dozens of workflow management systems are available in the market (examples are Staffware, COSA, WebSphere Workflow, Visual Workflo, SAP R/3 Workflow, Forté Conductor, Meteor and Mobile...

...Scott D. Fletcher; Florence Jaffrezic email: [email protected] 11 2000 09 2001 09 2001 Age-specific mortality Character process models Genetic variation Infinite dimensional traits Quantitative genetics Repeated measures References Diggle , P. J. , Liang , K...

... process models predict ecosystem re- Introduction sponses from climate variables and physiological parameters. Process models have been successfully used to predict large- The parameters describe key ecosystem attributes, often as scale phenomena...

... are converging that bode well for overcoming these obstacles. These advances relate to improvements and developments of process modeling, advances in technologies that permit measures of component processes at relevant scales, the likely future importance of intensive clonal forestry...

... volume per unit of stem surface area that explained much of the within-stand and between-stand variability. Because of the large differences in parameter values among sites, we conclude that the use of stand-specific respiratory parameters may improve model predictions of ecosystem process models over...

... in terms of their ecological rationality—their fit to particular environments—alongside the descriptive study of the mind’s adaptive toolbox of decision mechanisms in terms of process models rather than as-if optimizing models. In most real-world problems, optimization, the traditional normative standard...

... contextual factors influence their relationship. Dual-process models of cognition have proven useful in many fields of study, yet sociological use of these models to understand the micromechanisms of culture have been largely limited until very recently. This chapter aims to provide insight into dual-process...

...Process models of higher cognition come in three basic varieties: traditional symbolic models, traditional connectionist models, and symbolic-connectionist models. This chapter reviews the basic representational and processing assumptions embodied in each of these approaches and considers...

... ). Human emotions . New York: Plenum. Johnson, E. J. , & Ratcliff, R. ( 2014 ). Computational and process models of decision making in psychology and behavioral economics. In P. W. Glimcher & E. Fehr (Eds.), Neuroeconomics: Decision making and the brain...

... frameworks process models implementation science Cancer care Implementation science Theories frameworks and models Cancer control National Cancer Institute NCI US Action models Classic theories Determinants frameworks Evaluation frameworks Implementation evaluation frameworks PRECEDE–PROCEED...