Results 131 to 140 of about 44,986 (305)
Traditional osteometric reassociation uses an error-mitigation approach, which seeks to eliminate possible matches, rather than a predictive approach, where possible matches are directly compared. This study examines the utility of a Bayesian approach for resolving commingling by using a probabilistic framework to predict correct matches.Comparisons ...
openaire +2 more sources
Resampling from the past to improve on MCMC algorithms [PDF]
We introduce the idea that resampling from past observations in a Markov Chain Monte Carlo sampler can fasten convergence. We prove that proper resampling from the past does not disturb the limit distribution of the algorithm.
Yves Atchade
core
Microsecond X‐ray reflectometry
X‐ray reflectometry is accelerated to 213 µs net exposure time using galvanometer scanning, which enables unprecedented temporal resolution for studying dynamic thin‐film processes.We accelerate synchrotron X‐ray reflectometry (XRR) by more than an order of magnitude and demonstrate the acquisition of full reflectivity curves within 213 µs over a qz ...
Michael Haberl +6 more
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
Stochastic volatility with leverage: fast likelihood inference [PDF]
Kim, Shephard and Chib (1998) provided a Bayesian analysis of stochastic volatility models based on a very fast and reliable Markov chain Monte Carlo (MCMC) algorithm.
Jouchi Nakajima +3 more
core +2 more sources
N-dimensional maximum-entropy tomography via particle sampling
We propose a modified maximum-entropy (MENT) algorithm for six-dimensional phase space tomography. The algorithm uses particle sampling and low-dimensional density estimation to approximate large sets of high-dimensional integrals in the original MENT ...
Austin Hoover
doaj +1 more source
An extension of Peskun ordering to continuous time Markov chains [PDF]
Peskun ordering is a partial ordering defined on the space of transition matrices of discrete time Markov chains. If the Markov chains are reversible with respect to a common stationary distribution "greek Pi", Peskun ordering implies an ordering on the ...
Leisen Fabrizio, Mira Antonietta
core
Perceptual multistability as Markov Chain Monte Carlo inference [PDF]
While many perceptual and cognitive phenomena are well described in terms of Bayesian inference, the necessary computations are intractable at the scale of real-world tasks, and it remains unclear how the human mind approximates Bayesian computations ...
Tenenbaum, Joshua B +2 more
core
Our analysis revealed that while climate strongly influenced species distributions, habitat change drove most observed delays in distribution responses. In terms of community ecology, dispersed communities exhibited shorter time lags than concentrated groups. Analyses of lag duration revealed a 5–6‐year distribution lag effect in high‐altitude ungulate
Lu Wang +6 more
wiley +1 more source
We decode mitochondrial genomes across all extant canids, revealing lineage‐specific codon optimization driven by altitude, predation, and body size. A tripartite framework integrates geological events, metabolic constraints, and adaptive radiation to explain carnivore evolution.
Xiaoyang Wu +8 more
wiley +1 more source

