Search

Results: 148
Data on a new beta titanium alloy system reinforced with superlattice intermetallic precipitates.
The data presented in this article are related to the research article entitled "a new beta titanium alloy system reinforced with superlattice intermetallic precipitates" (Knowles et al., 2018) [1]. This includes data from the...
Published by:
Non-equilibrium multi-scale analysis and coexistence in competing first passage percolation

The main contribution of this paper is the development of a novel approach to multi-scale analysis that we believe can be used to analyse processes with non-equilibrium dynamics. Our approach will be referred to as...

Published by:
Coexistence in competing first passage percolation with conversion

We introduce a two-type first passage percolation competition model on infinite connected graphs as follows. Type 1 spreads through the edges of the graph at rate 1 from a single distinguished site, while all other sites are...

Published by:
Non-equilibrium multi-scale analysis and coexistence in competing first passage percolation

The main contribution of this paper is the development of a novel approach to multi-scale analysis that we believe can be used to analyse processes with non-equilibrium dynamics. Our approach will be referred to as...

Published by:
Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping
David Bolin, Finn Lindgren
Mar 01, 2011
A new class of stochastic field models is constructed using nested stochastic partial differential equations (SPDEs). The model class is computationally efficient, applicable to data on general smooth manifolds, and includes...
Published by:
Excursion and contour uncertainty regions for latent Gaussian models
David Bolin, Finn Lindgren
Jan 01, 2015
In several areas of application ranging from brain imaging to astrophysics and geostatistics, an important statistical problem is to find regions where the process studied exceeds a certain level. Estimating such regions so that...
Published by:
Bayesian Spatial Modelling with R-INLA
Finn Lindgren, Håvard Rue
Feb 01, 2015
The principles behind the interface to continuous domain spatial models in the R- INLA software package for R are described. The integrated nested Laplace approximation (INLA) approach proposed by Rue, Martino, and Chopin (2009)...
Published by:
Comments on
Finn Lindgren
Mar 01, 2015

Large spatial data sets require innovative techniques for computationally efficient statistical estimation. In this comment some aspects of local predictor selection are explored, with a view towards spatially coherent field...

Published by:
Parasite species richness and its effect on persistence in food webs

Parasitic species are likely to have a significant effect on the stability of ecosystems. However, little is known of the nature of this effect, with debate over whether it is positive or negative. In previous work it was...

Published by:
Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping
David Bolin, Finn Lindgren
Mar 01, 2011
A new class of stochastic field models is constructed using nested stochastic partial differential equations (SPDEs). The model class is computationally efficient, applicable to data on general smooth manifolds, and includes...
Published by:
Comments on
Finn Lindgren
Mar 01, 2015

Large spatial data sets require innovative techniques for computationally efficient statistical estimation. In this comment some aspects of local predictor selection are explored, with a view towards spatially coherent field...

Published by:
Coexistence in competing first passage percolation with conversion

We introduce a two-type first passage percolation competition model on infinite connected graphs as follows. Type 1 spreads through the edges of the graph at rate 1 from a single distinguished site, while all other sites are...

Published by:
Spatio-temporal modeling of particulate matter concentration through the SPDE approach
In this work, we consider a hierarchical spatio-temporal model for particulate matter (PM) concentration in the North-Italian region Piemonte. The model involves a Gaussian Field (GF), affected by a measurement error, and a...
Published by:
Parasite species richness and its effect on persistence in food webs

Parasitic species are likely to have a significant effect on the stability of ecosystems. However, little is known of the nature of this effect, with debate over whether it is positive or negative. In previous work it was...

Published by:
Spatio-temporal modeling of particulate matter concentration through the SPDE approach
In this work, we consider a hierarchical spatio-temporal model for particulate matter (PM) concentration in the North-Italian region Piemonte. The model involves a Gaussian Field (GF), affected by a measurement error, and a...
Published by:
Institutional Complexity and Individual Responses
Research highlights how coexisting institutional logics can sometimes offer opportunities for agency to enterprising actors in organizational fields. But macro- and micro-level studies using this framework diverge in their...
Published by:
Positive Schizotypy and the Experience of Creativity:
Positive schizotypy has been shown to predict emergence of schizophrenia-spectrum disorders, with suspiciousness/paranoia regarded a key risk factor. However, magical thinking and unusual perceptual experiences, other aspects of...
Published by:
A Multi-resolution Gaussian process model for the analysis of large spatial data sets
A multi-resolution model is developed to predict two-dimensional spatial fields based on irregularly spaced observations. The radial basis functions at each level of resolution are constructed using a Wendland compactly...
Published by:
A Multi-resolution Gaussian process model for the analysis of large spatial data sets
A multi-resolution model is developed to predict two-dimensional spatial fields based on irregularly spaced observations. The radial basis functions at each level of resolution are constructed using a Wendland compactly...
Published by:
Bayesian computing with INLA
The INLA approach for approximate Bayesian inference for latent Gaussian models has been shown to give fast and accurate estimates of posterior marginals and also to be a valuable tool in practice via the R-package R-INLA. New...
Published by:
Does non-stationary spatial data always require non-stationary random fields?

A stationary spatial model is an idealization and we expect that the true dependence structures of physical phenomena are spatially varying, but how should we handle this non-stationarity in practice? We study the challenges...

Published by:
Bayesian computing with INLA
The INLA approach for approximate Bayesian inference for latent Gaussian models has been shown to give fast and accurate estimates of posterior marginals and also to be a valuable tool in practice via the R-package R-INLA. New...
Published by:

|<

<

1

2

3

4

5

>

>|