Results 101 to 110 of about 221,738 (314)

Seriation in paleontological data using markov chain Monte Carlo methods.

PLoS Computational Biology, 2006
Given a collection of fossil sites with data about the taxa that occur in each site, the task in biochronology is to find good estimates for the ages or ordering of sites. We describe a full probabilistic model for fossil data.
Kai Puolamäki, Mikael Fortelius, Heikki Mannila   +2 more
doaj   +1 more source

A quantum parallel Markov chain Monte Carlo. [PDF]

J Comput Graph Stat, 2023
Holbrook AJ.
europepmc   +1 more source

Spatial and temporal variation in survival of female wild turkeys

The Journal of Wildlife Management, EarlyView.
We monitored 370 female wild turkeys across North Carolina's 3 ecoregions from 2020‐2022 to understand factors influencing their survival. Female survival varied by ecoregion and behavior state, with the incubation period having the lowest survival rates. None of the land cover variables affected survival.
David J. Moscicki, Christopher E. Moorman, Bret A. Collier, Christopher Kreh, Hannah Plumpton, Krishna Pacifici   +5 more
wiley   +1 more source

Ideal Observer Computation by Use of Markov-Chain Monte Carlo With Generative Adversarial Networks. [PDF]

IEEE Trans Med Imaging, 2023
Zhou W, Villa U, Anastasio MA.
europepmc   +1 more source

3-D joint inversion of surface wave and receiver functions based on the Markov chain Monte Carlo

, 2023
Kuan-Yu Ke, Frederik Tilmann, T. Ryberg, Stefan Mroczek   +3 more
openalex   +1 more source

Carbon, Nitrogen, and Corresponding Stable Isotope Signatures Reveal Channel Banks as Major Sediment Sources in a Tropical Agricultural Watershed

Land Degradation &Development, EarlyView.
ABSTRACT Uncertainties about the applicability of δ13C and δ15N as tracers of sediment sources in tropical river basins highlight the need for more in‐depth investigations of these isotopes. This study therefore assessed the effectiveness of δ13C and δ15N signatures in discriminating sediment sources in an agricultural catchment in Northeast Brazil ...
Fábio Farias Amorim, Yuri Jacques Agra Bezerra da Silva, Rennan Cabral Nascimento, Ygor Jacques Agra Bezerra da Silva, Angelo Jamil Maia, Tales Tiecher, Jean Paolo Gomes Minella, Yusheng Zhang, Hari Ram Upadhayay, Simon Pulley, Adrian L. Collins   +10 more
wiley   +1 more source

Automatic Parallel Tempering Markov Chain Monte Carlo with Nii-C

The Astrophysical Journal Supplement Series
Due to the high dimensionality or multimodality that is common in modern astronomy, sampling Bayesian posteriors can be challenging. Several publicly available codes based on different sampling algorithms can solve these complex models, but the execution
Sheng Jin, Wenxin Jiang, Dong-Hong Wu
doaj   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

Mathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés, Ana Navarro‐Quiles, Sorina Madalina Sferle   +2 more
wiley   +1 more source

Application and evaluation of a snowmelt runoff model in the Tamor River basin, Eastern Himalaya using a Markov Chain Monte Carlo (MCMC) data assimilation approach [PDF]

, 2013
P. K. Panday, C. A. Williams, Karen E. Frey, Molly E. Brown   +3 more
openalex   +1 more source

Markov Chain Monte Carlo-Based Bayesian Inference for Learning Finite and Infinite Inverted Beta-Liouville Mixture Models [PDF]

, 2021
Sami Bourouis, Roobaea Alroobaea, Saeed Rubaiee, Murad Andejany, Fahad M. Almansour, Nizar Bouguila   +5 more
openalex   +1 more source