Results 91 to 100 of about 3,307,614 (190)

The impact of rapid urbanization on water resources based on INLA

Frontiers in Environmental Science
Rapid urbanization reshapes regional water resources by reconfiguring land systems and altering the balance between runoff and infiltration. Empirical evidence that jointly accounts for human and natural drivers while addressing spatial dependence ...
Yongjun Song, Yongjun Song, Huimin Wang, Qingkai Lu, Chen Ma, Jinke Wang, Feng Gan, Siqin Zhang, Haojun Xu, Zimeng Zhao   +9 more
doaj   +1 more source

Robust CDF‐Filtering of a Location Parameter

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania, Andrew C. Harvey, Alessandra Luati   +2 more
wiley   +1 more source

Estimating multilevel regional variation in excess mortality of cancer patients using integrated nested Laplace approximation [PDF]

, 2019
Models of excess mortality with random effects were used to estimate regional variation in relative or net survival of cancer patients. Statistical inference for these models based on the Markov chain Monte Carlo (MCMC) methods is computationally ...
Seppä, Karri, Sillanpää, Mikko J., Håvard Rue, Rue, H. (Håvard), Hakulinen, T. (Timo), Pitkäniemi, J. (Janne), Seppä, K. (Karri), Rue, Håvard, Pitkäniemi, Janne, Läärä, E. (Esa), Sillanpää, M. J. (Mikko J.), Janne Pitkäniemi, Hakulinen, Timo, Mikko J. Sillanpää, Karri Seppä, Timo Hakulinen, Esa Läärä, Läärä, Esa   +17 more
core   +1 more source

How Much Physics Should a Neural Network Know? Thermodynamics‐Informed Neural Networks for Rock Constitutive Modeling With Epistemic Uncertainty

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Machine learning offers a flexible route to constitutive modeling, with two emergent questions for geoscience applications: what level of thermodynamic constraint should be embedded in the network architecture, and how should predictive uncertainty be quantified when extrapolating from laboratory to field conditions? We address both challenges
Kangan Li, Tushar Mittal, Benjamin K. Holtzman, Seth Saltiel   +3 more
wiley   +1 more source

Are novel and co‐xenic associations common in alien fungal and fungus‐like plant pathogens?

New Phytologist, Volume 252, Issue 2, Page 843-860, October 2026.
Possible scenarios for plant–pathogen associations during invasion. An introduced plant may occur in a new area without its pathogen (enemy release) or together with its pathogen (co‐introduction). The presence of the alien plant (in red) and its co‐introduced pathogen (in dark red) can result in pathogen spillover to co‐occurring plants. Host jumps to
Anna Schertler, Bernd Lenzner, Stefan Dullinger, Dietmar Moser, Adrián García‐Rodríguez, Irmgard Krisai‐Greilhuber, Hermann Voglmayr, Jennifer L. Bufford, Alberto Santini, Luisa Ghelardini, César Capinha, Luís Reino, Michael J. Wingfield, Marco Thines, Pedro Talhinhas, Wayne Dawson, Mark van Kleunen, Holger Kreft, Jan Pergl, Petr Pyšek, Patrick Weigelt, Marten Winter, Franz Essl   +22 more
wiley   +1 more source

Modelling and Inference for Bayesian Bivariate Animal Models using Integrated Nested Laplace Approximations [PDF]

, 2014
In this study we focus on performing inference on bivariate animal models using Integrated Nested Laplace Approximation (INLA). INLA is a methodology for making fast non-sampling based Bayesian inference for hierarchical Gaussian Markov models.
Bøhn, Eirik Dybvik
core   +1 more source

A Sequential Quadratic Numerical Optimization Technique to Compute Critical Flutter Speeds

International Journal for Numerical Methods in Engineering, Volume 127, Issue 17, 15 September 2026.
ABSTRACT A stable sequential quadratic numerical optimization technique is proposed to compute critical flutter speeds without resorting to complex algebra. The solution of the traditional eigenproblem stated in the frequency domain, and whose complex conjugate eigenvalues provide insights on the stability of the dynamic aeroelastic response, is ...
Alfredo R. de Faria
wiley   +1 more source

Spatial Models Using Laplace Approximation Methods

, 2019
Bayesian inference has been at the center of the development of spatial statistics in recent years. In particular, Bayesian hierarchical models including several fixed and random effects have become very popular in many different fields.
Håvard Rue, Virgilio Gómez-Rubio, Gómez-Rubio, Virgilio, Roger S. Bivand, Rue, Haavard, Bivand, Roger S.   +5 more
core   +1 more source

A Bayesian Hierarchical Spatiotemporal Model With Physical Barriers for Extreme Sea‐Level Prediction in Ireland

Environmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT Rising seas raise the vulnerability of coastal regions through higher extreme sea levels. This paper estimates extreme sea levels at gauged and ungauged coastal locations around Ireland and the West Coast of Great Britain, using a Bayesian hierarchical extreme‐value model with spatiotemporal random effects. The annual maxima of tidal residuals
Fernando Mayer, Niamh Mimnagh, Niamh Cahill   +2 more
wiley   +1 more source

Processing Spatial Data for Statistical Modeling and Visualization Case study: INLA model for COVID-19 in Alabama, USA

Acta Technica Jaurinensis
This research emphasizes the visualization of spatial data for statistical modelling and analysis of the relative risk associated with the COVID-19 pandemic in Alabama, USA. We used Bayesian analysis and the Integrated Nested Laplace Approximation (INLA)
Getachew Engidaw, György Terdik
doaj   +1 more source