Results 71 to 80 of about 47,776 (252)
Adaptive Gibbs samplers and related MCMC methods [PDF]
We consider various versions of adaptive Gibbs and Metropolis- within-Gibbs samplers, which update their selection probabilities (and perhaps also their proposal distributions) on the y during a run, by learning as they go in an attempt to optimise ...
Rosenthal, Jeffrey S. (Jeffrey Seth) +2 more
core
Abstract We estimate the price impact of very nearby concurrently listed properties in the Sydney housing market and assess their competition effects. We apply a hedonic model with spatiotemporal effects regularized via a graph Laplacian prior at the month‐by‐SA2 regional level to seven SA4 subregions of metropolitan Sydney. The model structure enables
Willem P. Sijp, Mengheng Li
wiley +1 more source
Moderate retention forestry creates structurally sharp forest edges that act as ecological filters, shaping orientation‐specific activity of ground‐dwelling arthropods. Using drift‐fence pitfall traps, we show that activity aligned with ecotones is more frequent than activity across forest–clearcut boundaries, particularly among detritivores.
Dominik Stočes +3 more
wiley +1 more source
Monte Carlo metode su bilo koji matematički modeli i algoritmi čija je glavna značajka korištenje velikog broja slučajnih brojeva koji se simuliraju nasumičnim uzorkovanjem.
Budetić, Mia
core
Abstract Structured population models are parameterized to accurately project expected population sizes, stage/state distributions and population growth rates, but they also predict the variation in outcomes among individuals, such as the variance and skewness of lifetime reproductive output (LRO) and lifespan, the probability of never reproducing, and
Stephen P. Ellner +8 more
wiley +1 more source
We compared genetic diversity and spatial genetic structure in the snapping turtle (Chelydra serpentina; left panel), Blanding's turtle (Emydoidea blandingii; bottom right), and spotted turtle (Clemmys guttata; top right) sampled in areas of co‐occurrence across ~49,160 km2.
Christina M. Davy +3 more
wiley +1 more source
A tutorial on Bayesian model averaging for exponential random graph models
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
To vary or not to vary: A flexible empirical Bayes factor for testing variance components
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley +1 more source
Evaluation of alternative discrete-event simulation experimental methods
The aim of the research was to assist non-experts produce meaningful, non-terminating discrete event simulations studies. The exemplar used was manufacturing applications, in particular sequential production lines.
Warn, Alan James
core
Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
wiley +1 more source

