Graph‐Laplacian modeling of spatiotemporal effects for house price estimation
Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
wiley +1 more source
Multiple imputation and pooling strategies for handling wide-format missing data in latent growth curve modeling. [PDF]
Jia F, Yan Y.
europepmc +1 more source
Male weaponry evolution is often linked to male–male competition, but its relationship with breeding site type remains unclear. Using Leptodactylinae frogs, we found a macroevolutionary correlation between breeding site type and weapon evolution. Also, gains and losses of weapons occurred more frequently in exposed‐breeding sites, an unexpected finding.
Erika M. Santana +3 more
wiley +1 more source
Semiparametric outcome regression-based estimator of Mann-Whitney-type causal effect. [PDF]
Sani SS +11 more
europepmc +1 more source
Inferring processes within dynamic forest models using hybrid modelling
Abstract Modelling forest dynamics under novel climatic conditions requires a careful balance between process‐based understanding and empirical flexibility. Dynamic vegetation models (DVM) represent ecological processes mechanistically, but their performance is sensitive to misspecified functional forms and to unavoidable structural simplifications ...
Maximilian Pichler, Yannek Käber
wiley +1 more source
Empirical Comparison of Win Ratio and Joint Frailty Models for Recurrent Event Endpoints With Applications in Oncology and Cardiology. [PDF]
Orué A +4 more
europepmc +1 more source
Residual diagnostics for assessing closed population capture–recapture models
Abstract Capture–recapture models provide a statistical framework for estimating demographic parameters from incomplete observation data, where not all individuals in a population are detected during sampling. Assessing the fit of such models is crucial for reliable inference.
Jakub Stoklosa +2 more
wiley +1 more source
Assessing the inference of single-cell phylogenies and population dynamics from CRISPR lineage recordings. [PDF]
Pilarski J, Stadler T, Seidel S.
europepmc +1 more source
Inference on state occupancy in covariate‐driven hidden Markov models
Abstract Hidden Markov models (HMMs) are natural and popular tools for analysing animal behaviour based on movement, acceleration and other sensor data. In particular, these models make it possible to infer how the animal's decision‐making process interacts with internal and external drivers by relating the probabilities of switching between distinct ...
Maya Natascha Vienken +2 more
wiley +1 more source
Prediction of survival in patients suffering from spinal metastases: a prospective, multicenter validation study. [PDF]
Bartels RHMA +7 more
europepmc +1 more source

