Results 121 to 130 of about 85,479 (297)

Sequential Monte Carlo samplers with independent Markov chain Monte Carlo proposals

, 2018
Sequential Monte Carlo (SMC) methods for sampling from the posterior of static Bayesian models are flexible, parallelisable and capable of handling complex targets.
South, Leah F., Pettitt, Anthony N., Drovandi, Christopher C.   +2 more
core   +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

Computing Densities: A Conditional Monte Carlo Estimator [PDF]

We propose a generalized conditional Monte Carlo technique for computing densities in economic models. Global consistency and functional asymptotic normality are established under ergodicity assumptions on the simulated process.
Huiyu Li, John Stachurski, Richard Anton Braun   +2 more
core   +2 more sources

IsoFrog: a reversible jump Markov Chain Monte Carlo feature selection-based method for predicting isoform functions. [PDF]

Bioinformatics, 2023
Liu Y, Yang C, Li HD, Wang J.
europepmc   +1 more source

Maximum likelihood parameter estimation for latent variable models using sequential Monte Carlo [PDF]

We present a sequential Monte Carlo (SMC) method for maximum likelihood (ML) parameter estimation in latent variable models. Standard methods rely on gradient algorithms such as the Expectation- Maximization (EM) algorithm and its Monte Carlo variants.
Davy, Manuel, Johansen, Adam M., Doucet, Arnaud   +2 more
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

Maximum Working Likelihood Inference with Markov Chain Monte Carlo

, 2007
this paper, we describe a method for obtaining frequency based maximum working likelihood (MWL) inference in the presence of missing data which does not require integration of the conditional likelihood.
Daode Huang, Jeffrey A. Douglas, Markov Chain Monte Carlo, Michael Kosorok   +3 more
core  

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

Semi‐mechanistic population PK/PD model to aid clinical understanding of myelodysplastic syndromes following treatment with Venetoclax and Azacitidine

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 448-459, March 2025.
Abstract Myelodysplastic syndromes (MDS) represent a group of bone marrow disorders involving cytopenias, hypercellular bone marrow, and dysplastic hematopoietic progenitors. MDS remains a challenge to treat due to the complex interplay between disease‐induced and treatment‐related cytopenias.
Neha Thakre, Corinna Maier, Jiuhong Zha, Benjamin Engelhardt, Johannes E. Wolff, Sven Mensing   +5 more
wiley   +1 more source

Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit. [PDF]

Bioinformatics, 2022
Neumann J, Lin YT, Mallela A, Miller EF, Colvin J, Duprat AT, Chen Y, Hlavacek WS, Posner RG.   +8 more
europepmc   +1 more source