Results 131 to 140 of about 8,708,943 (308)
Integrating latent variables in discrete choice models – How higher-order values and attitudes determine consumer choice [PDF]
Integrated choice and latent variable (ICLV) models represent a promising new class of models which merge classic choice models with the structural equation approach (SEM) for latent variables.
Marcel Paulssen +2 more
core
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Background. This study examines the relationship between unmet healthcare needs and employment status, with a focus on how this relationship was influenced by the Spanish economic recession of 2008-2012. Methods.
Carla Blázquez Fernández +2 more
doaj +1 more source
On linking microsimulation and applied GE by exact aggregation of heterogeneous discrete-choice making agents [PDF]
Our paper contributes to bridge the gap between the microsimulation’s approach and applied GE models, by making use of exact aggregation results from the discrete choice literature: heterogeneous individuals choosing (possibly continuous amounts) within ...
Riccardo Magnani, Jean Mercenier
core
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ +19 more
wiley +1 more source
Very simple marginal effects in some discrete choice models [PDF]
I show a simple back-of-the-envelope method for calculating marginal effects in binary choice and count data models. The approach suggested here focuses attention on marginal effects at different points in the distribution of the dependent variable ...
Kevin J. Denny
core +2 more sources
Unobserved Product Differentiation in Discrete Choice Models: Estimating Price Elasticities and Welfare Effects [PDF]
Standard discrete choice models such as logit, nested logit, and random coefficients models place very strong restrictions on how unobservable product space increases with the number of products.
Marc Rysman, Daniel A. Ackerberg
core
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
Pregibit: A Family of Discrete Choice Models [PDF]
The pregibit discrete choice model is built on a distribution that allows symmetry or asymmetry and thick tails, thin tails or no tails. Thus the model is much richer than the traditional models that are typically used to study behavior that generates ...
Vijverberg, Wim P. +1 more
core
Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt +5 more
wiley +1 more source

