Results 101 to 110 of about 44,758 (308)

Gradient boosting: A computationally efficient alternative to Markov chain Monte Carlo sampling for fitting large Bayesian spatio-temporal binomial regression models

Infectious Disease Modelling
Disease forecasting and surveillance often involve fitting models to a tremendous volume of historical testing data collected over space and time. Bayesian spatio-temporal regression models fit with Markov chain Monte Carlo (MCMC) methods are commonly ...
Rongjie Huang, Christopher McMahan, Brian Herrin, Alexander McLain, Bo Cai, Stella Self   +5 more
doaj   +1 more source

Connecting the distribution and diversification of marine plants

Oikos, EarlyView.
Integration of the evolutionary history with distribution of extant species is necessary to explain present‐day diversity, particularly for ‘foundation' species, such as seagrasses, which create habitats of socioecological relevance. Here, we resolved if varying evolutionary history of seagrass families has imprinted the distribution ranges of extant ...
Fernando Tuya, Javier Martínez‐ Pérez, Álvaro Fueyo, Néstor E. Bosch   +3 more
wiley   +1 more source

Accelerating stochastic gravitational wave backgrounds parameter estimation in pulsar timing arrays with flow matching

Physics Letters B
Pulsar timing arrays (PTAs) are essential tools for detecting the stochastic gravitational wave background (SGWB), but their analysis faces significant computational challenges.
Bo Liang, Chang Liu, Tianyu Zhao, Minghui Du, Manjia Liang, Ruijun Shi, Hong Guo, Yuxiang Xu, Li-e Qiang, Peng Xu, Wei-Liang Qian, Ziren Luo   +11 more
doaj   +1 more source

Range‐wide sampling reveals cryptic lineages but largely conserved mycorrhizal associations in the Japanese fairy lantern Thismia kobensis

PLANTS, PEOPLE, PLANET, EarlyView.
The jewel‐like flowers of Thismia are as rare as they are beautiful, often recorded from only a single site per species. Access to 15 populations of T. kobensis has enabled an uncommon, range‐wide assessment of morphology, genetics, and fungal partners. Our analyses showed that T.
Kenji Suetsugu, Kazuma Takizawa, Kazuki Inui, Akihiro Nishimura, Shun K. Hirota   +4 more
wiley   +1 more source

Waves of range dynamics and gene flow characterize the biogeographic history of Litsea elongata, a dominant tree in East Asian evergreen broadleaved forests

PLANTS, PEOPLE, PLANET, EarlyView.
Evergreen broadleaved forests (EBLFs) represent an iconic vegetation type in subtropical montane East Asia, but they are experiencing intensifying anthropogenic pressure and increasing habitat fragmentation. Here, using a dominant and widespread tree species characteristic of East Asian EBLFs, we examine its phylogeographic history and evaluate what it
Sheng‐Yuan Qin, Richard H. Ree, Zheng‐Yu Zuo, Chih‐Chieh Yu, Shuang‐Xiu Xu, Jun Rong, Peng‐Fei Ma, De‐Zhu Li   +7 more
wiley   +1 more source

Bayesian Nonparametric Inference for a Multivariate Copula Function [PDF]

, 2014
The paper presents a general Bayesian nonparametric approach for estimating a high dimensional copula. We first introduce the skew-normal copula, which we then extend to an infinite mixture model.
Wu, Juan, Wang, Xue, Walker, Stephen G.
core   +1 more source

First genome sequence of a European Alternaria brassicae isolate and genes involved in early development of alternaria leaf spot on Brassica juncea

Pest Management Science, EarlyView.
This article reports the first genome sequence of a UK Alternaria brassicae isolate. Dual RNA‐sequencing profiling of A. brassicae‐infected Brassica juncea leaves identified differentially expressed genes involved in pathogenicity and host response pathways in moderately resistant Sej‐2 (2) and moderately susceptible Pusa Jaikisan cultivars.
Kevin M. King, Graham McLaughlin, Chinthani S. Karandeni Dewage, Zedi Gao, David J. Hughes, Jonathan S. West, Henrik U. Stotz   +6 more
wiley   +1 more source

A Markov Chain Monte Carlo Procedure for Efficient Bayesian Inference on the Phase-Type Aging Model

Stats
The phase-type aging model (PTAM) belongs to a class of Coxian-type Markovian models that can provide a quantitative description of well-known aging characteristics that are part of a genetically determined, progressive, and irreversible process.
Cong Nie, Xiaoming Liu, Serge Provost, Jiandong Ren   +3 more
doaj   +1 more source

Dynamical Sampling with Langevin Normalization Flows

Entropy, 2019
In Bayesian machine learning, sampling methods provide the asymptotically unbiased estimation for the inference of the complex probability distributions, where Markov chain Monte Carlo (MCMC) is one of the most popular sampling methods. However, MCMC can
Minghao Gu, Shiliang Sun, Yan Liu
doaj   +1 more source

Intranasal diamorphine population pharmacokinetics modeling and simulation in pediatric breakthrough pain

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 435-447, March 2025.
Abstract Intranasal diamorphine (IND), approved for managing breakthrough pain in the UK, has been identified as an acceptable alternative offering effective, expedient, and less traumatic analgesia for children. However, the current dose regimen in pediatric populations relies on clinical expertise while the pharmacokinetics properties are poorly ...
Lianjin Cai, Jingchen Zhai, Beihong Ji, Fengyang Han, Taoyu Niu, Luxuan Wang, Junmei Wang   +6 more
wiley   +1 more source