Fitting genetic models using Markov Chain Monte Carlo algorithms with BUGS [PDF]
Maximum likelihood estimation techniques are widely used in twin and family studies, but soon reach computational boundaries when applied to highly complex models (e.g., models including gene-by-environment interaction and gene-environment correlation ...
Beem, A.L. +2 more
core +2 more sources
Abstract We employed structural priming to test whether targeted exposure to unambiguous form–meaning mappings led to learning of noncanonical word orders, specifically in object relative clauses, among 165 low‐to‐intermediate‐level L1 German L2 learners of English.
Holger Hopp +4 more
wiley +1 more source
New Tools for Urban Analysis: A SLAM-Based Research in Venice
This research proposes a detailed analysis of the potential of MMS (Mobile Mapping Systems), supported by SLAM (Simultaneous Localisation And Mapping) algorithms, performed on a multiscale test field in order to make a concrete contribution to the ...
Beatrice Tanduo +3 more
doaj +1 more source
HELMERT TRANSFORMATION ON THE CASE OF GAUSS-KRÜGER AND UTM
<jats:p>Globally, maps are our primary source of comprehensive information about the shape, size and arrangement of Earth features. Maps are the only way we can get a unique and comprehensive view of the world. Unfortunately, globally, all maps are somehow deformed, affecting our perception and understanding of the ...
Dragoljub Sekulović +2 more
openaire +2 more sources
Stabilizing Inference in Dirichlet Regression via Ridge‐Penalized Model
ABSTRACT We propose a penalized Dirichlet regression framework for modeling compositional data, using a softmax link to ensure that the mean vector lies on the simplex and to avoid log‐ratio transformations or zero replacement. The model is formulated in a GLM‐like setting and incorporates an ℓ2$$ {\mathrm{\ell}}_2 $$ (ridge) penalty on the regression ...
Andrea Nigri
wiley +1 more source
Using the Helmert-Transformation to Reduce Dimensionality in a Mixed Model: Application to a Wage Equation with Worker and Firm Heterogeneity [PDF]
A model for matched data with two types of unobserved heterogeneity is considered – one related to the observation unit, the other to units to which the observation units are matched.
Nilsen, Øivind Anti +2 more
core +3 more sources
Random Triangle Theory with Geometry and Applications
What is the probability that a random triangle is acute? We explore this old question from a modern viewpoint, taking into account linear algebra, shape theory, numerical analysis, random matrix theory, the Hopf fibration, and much much more.
Edelman, Alan, Strang, Gilbert
core +1 more source
Reduced-Dynamic Precise Orbit Determination Based on Helmert Transformation
Four fundamental approaches in the Precise Satellite Orbit Determination (POD) are Dynamic POD, Reduced-Dynamic POD, Kinematic POD, and Reduced-Kinematic POD (Svehla & Rothacher, 2003, Liu et al. 2004). Generally, two kinds of information are considered: dynamic parameters and kinematic factors. In the dynamic method, the orbit precision mainly depends
Chen, J., Wang, J.
openaire +4 more sources
Adjusting a 2D Helmert transformation within a Gauss–Helmert Model with a singular dispersion matrix where BQ is of smaller rank than B [PDF]
The case of a singular dispersion matrix within the Gauss–Helmert Model has been considered before, most recently even allowing the rank of BQ to be smaller than the rank of B. In this contribution the emphasis is shifted towards an illuminating example, the 2D Helmert transformation.
Frank Neitzel, Burkhard Schaffrin
openaire +2 more sources
The urgency of genetic decline in New Brunswick butternut, Juglans cinerea L.
Butternut is yet another North American tree species undergoing rapid mortality due to the globalization of forest pathogens. Pairing tree health surveys and genetic diversity metrics, we captured a 7‐year snapshot of butternut's path to extirpation from its distinct range in New Brunswick, Canada.
Berni M. van der Meer +3 more
wiley +1 more source

