Results 121 to 130 of about 167,711 (260)

Estimate Mass Density Value as A Priori Information for Gravity by using Bayesian Markov Chain Monte Carlo (MCMC)

Indonesian Journal of Applied Physics
In the gravity method, information about mass density value is very important because it will influence the characteristic of the 1-D gravity acceleration graph.
Indriati Retno Palupi, Wiji Raharjo
doaj   +1 more source

Decayed MCMC Filtering

, 2012
Filtering---estimating the state of a partially observable Markov process from a sequence of observations---is one of the most widely studied problems in control theory, AI, and computational statistics. Exact computation of the posterior distribution is generally intractable for large discrete systems and for nonlinear continuous systems, so a good ...
Marthi, Bhaskara, Pasula, Hanna, Russell, Stuart, Peres, Yuval   +3 more
openaire   +2 more sources

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

Optimization assisted MCMC

, 2017
Markov Chain Monte Carlo (MCMC) sampling methods are widely used but often encounter either slow convergence or biased sampling when applied to multimodal high dimensional distributions. In this paper, we present a general framework of improving classical MCMC samplers by employing a global optimization method.
Fok, Ricky, An, Aijun, Wang, Xiaogang
openaire   +2 more sources

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

Accelerating virtual patient generation with a Bayesian optimization and machine learning surrogate model

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 486-494, March 2025.
Abstract The pharmaceutical industry has increasingly adopted model‐informed drug discovery and development (MID3) to enhance productivity in drug discovery and development. Quantitative systems pharmacology (QSP), which integrates drug action mechanisms and disease complexities to predict clinical endpoints and biomarkers is central to MID3.
Hiroaki Iwata, Ryuta Saito
wiley   +1 more source

Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping

Remote Sensing in Ecology and Conservation, EarlyView.
Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command, Shreya Nemani, Benjamin Misiuk, Mehrdad Hajibabaei, Nicole Fahner, Emily Porter, Greg Singer, Beverly McClenaghan, Katleen Robert   +8 more
wiley   +1 more source

JaxSGMC: Modular stochastic gradient MCMC in JAX

SoftwareX
We present JaxSGMC, an application-agnostic library for stochastic gradient Markov chain Monte Carlo (SG-MCMC) in JAX. SG-MCMC schemes are uncertainty quantification (UQ) methods that scale to large datasets and high-dimensional models, enabling ...
Stephan Thaler, Paul Fuchs, Ana Cukarska, Julija Zavadlav   +3 more
doaj   +1 more source

Temporal Dynamics of Tourism Sustainability: Economic and Environmental Evidence From Greece

Sustainable Development, EarlyView.
ABSTRACT Tourism is a resource‐intensive sector that generates substantial economic benefits while exerting long‐term pressure on energy systems and the environment. This study examines the sustainability of tourism in Greece by analyzing how tourism growth affects economic performance, energy consumption, and carbon emissions across different time ...
Stylianou Tasos
wiley   +1 more source

Does Economic Growth Drive Equitable Water and Sanitation Access? Assessing Inequality Reduction Across 64 Nations

Sustainable Development, EarlyView.
ABSTRACT This article examines whether economic growth reduces inequalities in access to water and sanitation across 64 countries over an average period of 13.5 years. Drawing on disaggregated data by income quintiles and rural–urban location, and employing ordinary least squares (OLS), two‐stage least squares (2SLS), and Seemingly Unrelated Regression
Marcos García‐López, Samara López‐Ruiz, Gabriela Cuadrado‐Quesada   +2 more
wiley   +1 more source